Month: November 2019

What are the practical issues that smart communities need to solve

"Smart community" is one of the hottest concepts. "Smart community" is a detailed sub-industry and an important part of smart cities. Compared to smart cities, "smart communities" have a much smaller volume, but Although sparrows are small and complete, big smart cities have just as many small smart communities.

        Recently, the "smart community" is one of the hottest concepts. The "smart community" is a detailed sub-industry and an important part of the smart city. Compared to the smart city, the "smart community" is much smaller However, although the sparrow is small enough, the big smart city has the same as a small smart community. For example, front-end cameras, back-end platforms, data storage, face recognition, vehicle recognition, big data collision, Internet of Things, smart buildings, mobile APP, etc., make full use of the integration of new-generation information technologies such as Internet of Things, cloud computing, and mobile Internet The application provides a safe, comfortable, convenient, modern and intelligent living environment for the residents of the community, thereby forming a new community form based on informationization, intelligent management and services, and sustainable operation. As smart communities develop and land, they also face the following difficulties that need to be addressed:

Safety

The most typical feature of a smart community is the integration of AI technology into daily life. Among them, the face recognition quick-pass door product compares people who enter the community with the collected facial feature information of the residents to avoid the phenomenon of strangers trailing. To ensure the safety of residents; at the same time, residents do not need to carry an access card, "brush face" can quickly pass, the accuracy rate of face recognition is 99.5%, the recognition time is only 0.2 seconds.

2. Efficient

(1) Create value for the property:

Reduce property management costs: save manpower, save the cost of property notice announcements, and improve the "timeliness" and "coverage" of notice announcements.

Realizing the value-added income of the property: the mobile terminal and equipment side can bring value-added operating income.

Elevator robot intelligent traffic: Realize the robot to take the elevator vertically. The property has highlights and selling points.

(2) Create value for real estate developers

Landing of " Smart Community " to enhance the property Added value; simple construction of cloud devices in smart communities, low maintenance costs, and cost savings; smart living services in smart communities help developers enter the "real estate aftermarket" operation, and provide community owners with a comprehensive, online and offline integration Business circle service platform.

(3) Create value for the government

More scientific property management to reduce social conflicts; massive data collection in communities to help build smart cities; user behavior can be accurately analyzed and excavated to improve social productivity.

3. Convenient

In terms of property management, fully utilize the core technologies of the Internet, the Internet of Things, and big data to realize the intelligent management of the community cloud platform, and easily realize the many functions of daily management of property companies; and on the basis of meeting the daily management of properties, expand the value-added operation tools and The model covers many functions and models such as surrounding business districts, convenience services, community activities, face-opening, and healthy retirement. It provides residents with a more convenient and preferential community environment. Therefore, in a smart community, it is the core work of property management to create a high-quality and good living space for the owner. A safe and comfortable community environment, effective and fast interactive communication response, timely provision of life support services, reasonable cost control and the community Diversified revenues are the content that the community urgently needs to optimize and develop.

In addition, the artificial intelligence access control system combines IoT technology with the Internet, Supporting the use of hardware, R & D has designed a set of intelligent systems that specifically address issues such as high community investment and development costs, difficult property maintenance, unrenewable information, and potential security risks. The system innovatively changes the way of communication between the property and the owner, improves the service level of the property, and realizes the value-added service operation of the community.

Article link: China Security Exhibition Network http://www.afzhan.com/news/detail/74092.html

Necessity of live detection in face access control system

Face recognition technology is becoming more and more mature, and commercial applications are becoming more widespread. In order to prevent malicious people from forging or stealing the facial features of others for identity authentication, the face recognition system needs to have a live detection function to determine whether the submitted facial features come from a living real individual.

      

       Face recognition technology is becoming more and more mature, and commercial applications are becoming more widespread. However, the human face is easily copied by means of photos, videos, and even simulation molds. By preparing these “props” in advance, the malicious person tries to disguise in the identification process in order to pass verification and achieve the purpose of illegal intrusion. In order to prevent malicious people from forging or stealing the facial features of others for identity authentication, the face recognition system needs to have a live detection function to determine whether the submitted facial features come from a living real individual.

Basic principles of face live detection

       The basic function of face access control is Face Verification, and live detection belongs to Face Anti-Spoofing. Face authentication and face anti-counterfeiting, both technologies have their own focuses.

       Face verification: Face verification is an algorithm to determine whether two face pictures are the same person, that is, to obtain the similarity between two face features through face comparison, and then compare it with a preset threshold. If the similarity is greater than the threshold, then The same person, otherwise the opposite. This is a very popular research direction in recent years, and a large number of algorithm models and loss functions have also been generated.

       Face anti-counterfeiting: When the user brushes his face, the algorithm should identify whether this face is a real human face, and the algorithm should reject photos, videos, and prosthetic masks.

1.Photo attack and live detection

       Photos are the simplest form of attack. Using social media, such as WeChat friends or Weibo, you can easily get photos of related people. But the photo is static after all, and you ca n’t blink, open your mouth, or turn your head. Using this feature, the living body detection system can issue several movement instructions, and by judging the compliance of the detected person's movement, it can realize interactive living body detection.

       In order to deal with motion detection, some attackers improved the photo camouflage, printed another person's photo at the actual size, hollowed out the eyes and mouth of the photo, and stuck it on the face to expose the eyes and mouth. Blink, open your mouth, turn your head, etc. according to the instructions of the living body detection system. However, the effect of this forgery is far from the actual movement of the real face, and it is easily recognized by the detection algorithm.

2.Video attack and live detection

       Video attacks record another person's actions into a video and play it against the detection system. However, the screen of the player is imaged by the camera, and the face of the player is also significantly different from the real person. The most obvious is the presence of moiré, reflections, reflections, blurred image quality, and distortion. What's more, there is also a problem that the video being played and the motion instruction are out of sync.

3. Prosthetic attack and live detection

       The prosthesis attack is to make a three-dimensional mask similar to a real person, which solves the planarity defect of photo and video playback. There are many types of prostheses. The most common ones are masks made of plastic or hard paper. The cost is low, but the similarity of the material is very low, which can be identified by ordinary texture features. More advanced are silicone, latex and 3D printed three-dimensional masks. The appearance of these masks is close to the skin, but the surface reflectance of the material and the real face are still different, so there are still differences in imaging.

Common methods for face access control live detection

       The motion living body detection method has high security, but requires the user to cooperate with the specified action, so the actual user experience is poor. In order to achieve the effect of non-sensing traffic, human body access control rarely uses motion detection in response to instructions, and usually performs live discrimination based on the difference between images and optical effects.

1.Ordinary camera live detection

       Although there is no action response in accordance with the instructions, the real human face is not absolutely static, and there are always some micro-expressions, such as the rhythm of the eyelids and eyeballs, blinking, the expansion and contraction of lips and the surrounding cheeks. At the same time, the reflection characteristics of real human faces are different from those of attack media such as paper, screens, and three-dimensional masks, so the imaging is also different. With the detection based on features such as moiré, reflections, reflections, and textures, Yushi's detection system can easily deal with attacks on photos, videos, and prostheses.

       Using a certain physical feature or a fusion of multiple physical features, we can train a neural network classifier through deep learning to distinguish between live and attack. The physical features in live detection are mainly divided into texture features, color features, frequency spectrum features, motion features, image quality features, and also include heartbeat features. There are many texture features, but the most mainstream are LBP, HOG, LPQ, etc.

       In addition to RGB color features, academia has found that HSV or YCbCr has better performance in distinguishing living and non-living, and is widely used for different texture features.

       The principle of spectral characteristics is that the living body and non-living body have different responses in certain frequency bands.

       Motion feature extraction of target changes at different times is an effective method, but it usually takes a long time and does not meet the real-time requirements.

       There are many ways to describe image quality characteristics, such as reflection, scattering, edges, or shapes.

2. Infrared camera live detection

       Infrared face live detection is mainly based on optical flow method. Optical flow method uses the time-domain change and correlation of pixel intensity data in the image sequence to determine the "motion" of each pixel position, that is, to obtain the running information of each pixel from the image sequence. It uses Gaussian difference filters and LBP features Perform statistical analysis with support vector machines.

       At the same time, the optical flow field is relatively sensitive to object movements, and the optical flow field can be used to detect eye movements and blinks in a unified manner. This kind of living body detection method can realize blind measurement without user cooperation.

       From the comparison of the two pictures above, it can be seen that the optical flow features of the living face are displayed as irregular vector features, while the optical flow features of the photo face are regular and ordered vector features. photo.

3D camera live detection

       The human face is captured by a 3D camera, and the corresponding 3D data of the face area is obtained. Based on these data, the most distinguishing features are selected to train the neural network classifier. Finally, the trained classifier is used to distinguish between living and non-living. The selection of features is very important. The features we choose contain both global and local information. Such selection is beneficial to the stability and robustness of the algorithm.

3D face live detection is divided into the following 3 steps:

       First, extract three-dimensional information of N (recommended 256) feature points of living and non-living face regions, and perform preliminary analysis and processing on the geometric structure relationship between these points;

       Second, extract the three-dimensional information of the entire face area, further process the corresponding feature points, and then use the coordinated training Co-training method to train the positive and negative sample data, and use the obtained classifier for initial classification;

       Finally, the feature points extracted from the above two steps are used to fit the surface to describe the characteristics of the 3D model. The convex areas are extracted from the depth image according to the curvature of the surface, the EGI features are extracted for each area, and then the spherical correlation is used. Reclassify and identify.

 

 

       Source: Security Knowledge Network Link:http://www.iotworld.com.cn/html/News/201904/9d4c441c85ad707c.shtml

How to use big data in the development of smart cities

       Urban big data refers to the data generated or obtained during the operation of the city. It is an organic system composed of elements related to information collection, processing, utilization and communication capabilities. It is an important strategic resource for national economic and social development. Understand the formula can be expressed as: urban big data = urban data + big data technology + urban functions.

       The data sources of urban big data are rich and diverse. They exist in various fields and sectors of the economy and society. They are the sum of various types of data such as government affairs, industries, and enterprises. At the same time, urban big data has significant heterogeneous characteristics, rich data types, large numbers, fast growth rates, high processing speed and real-time requirements, and has the characteristics of cross-sector and cross-industry flow.

       According to different data sources and data ownership, urban big data can be divided into big data of government affairs, big data of industry and big data of social welfare. Big data of government affairs refers to all kinds of information resources, such as documents, materials, charts, and data, which are produced or obtained by government affairs departments in the course of performing their duties, and which are recorded and stored in a certain form. Industrial big data refers to relevant data generated during economic development, including industrial data, service industry data, and so on.

       In addition, there are some big data on social welfare. At present, urban big data is mostly government affairs big data and industry big data, so the main promoters of urban big data should be a city's government and related enterprises with a certain data size.

       To ensure the safe and efficient operation of cities, the construction of smart cities requires the collection, integration, storage and analysis of massive data resources, and the use of big data technologies such as intelligent perception, distributed storage, data mining, and real-time dynamic visualization to achieve reasonable resource allocation . Therefore, urban big data is the key support for the realization of urban intelligence, and an important engine for promoting "political communication, benefiting the people, and promoting industry".

Challenges to the development of new smart cities

       The development of new data-driven smart cities faces many problems. According to the white paper, although local governments and enterprises at all levels are actively exploring the construction of smart cities, there are still problems such as unknown characteristics, poor experience, and insufficient sharing. The root cause lies in the failure to achieve a good integration of urban big data resources and urban business.

       Specifically, the challenges include three aspects: first, the information system is full of chimneys, which hinders data sharing; second, data governance is generally weak, and the value is greatly reduced; third, the level of data management is different, and the overall linkage is lacking.

       How to deal with the difficulties and challenges in the construction of a new type of smart city? The white paper believes that the construction of urban big data platforms can play a positive role, which is reflected in three aspects.

I. Accelerating the integration of information resources through data collection

       First, the city's big data platform has established a unified standard for data governance to improve data management efficiency. Through unified standards, problems such as data chaos, conflicts, and multiple sources are avoided. Through centralized processing, the "validity period" of the data is extended, and multi-angle data attributes are quickly mined for analysis and application.

       Through quality management, problems such as uneven data quality, data redundancy, and missing data are discovered and resolved in a timely manner. Second, the city's big data platform regulates the sharing and circulation of data between various business systems and promotes the full release of data value. Through the overall management, the "privatization" of information resources in various departments and the mutual constraints between various departments are eliminated, the awareness of data sharing is enhanced, and the motivation for data openness is increased. Through effective integration, improve the utilization level of data resources.

Improving the level of government public services through accurate analysis

        In the field of transportation, through real-time traffic monitoring such as satellite analysis and open cloud platforms, to sense traffic conditions and help citizens optimize travel plans; in the area of safe cities, through centralized monitoring and analysis of behavior trajectories, social relations, social public opinion, etc. Provide strong support for decision-making, intelligence research and judgment.

        In the field of government services, relying on a unified Internet e-government data service platform to achieve "more data walk, less people errands"; in the field of medical health, through the exchange of data such as health files, electronic medical records, can not only improve the quality of medical services, Monitor the epidemic in time to reduce medical risks for citizens.

3. Promote the development of urban digital economy through data opening

        The open and shared big data platform will promote the two-way docking of government and enterprise data and stimulate social forces to participate in urban construction. On the one hand, companies can obtain more city data, tap business value, and improve their business level.

        On the other hand, the data of enterprises and organizations contribute to a unified big data platform, which can "feed back" government data, support the refined management of cities, and further promote modern urban governance.

Six aspects to promote platform construction

        At present, the construction of China's urban big data platforms is still in its infancy, and each region has its own advantages and disadvantages in terms of management mechanisms, business architecture and technical capabilities, which is not conducive to the long-term development of urban big data platforms. For the specific path of building a city's big data platform, the white paper puts forward six suggestions.

First, strengthen the top-level design of the platform

        The scientific and reasonable top-level design is the key to the construction of urban big data platforms. It is necessary to proceed from the implementation of national macro policies and combine local actual needs to consider all aspects of platform goals, data sovereignty, key technologies, legal environment, and implementation functions. "Starting point, high positioning, stable landing" carried out the top-level design of the platform to ensure that the construction of the city's big data platform continues to progress with goals, directions, paths, and rhythms, and iteratively updates and innovates according to the progress of the project.

Improving the platform supporting mechanism

       The construction and operation of urban big data platforms must have corresponding supporting guarantee mechanisms, and give full play to the guiding and supporting role of the guarantee mechanisms to ensure that the planning and construction of the platform are coordinated and the overall effectiveness of the platform is realized.

       For example, establishing a city big data resource management mechanism, clarifying the centralized management department, data collection unit, and sharing and open methods of data content; establishing a city big data platform operation management mechanism, clarifying the content and management of data, processes, and security during platform use Standards to ensure the continued stable operation of the platform.

Strengthening data management

       Strengthen urban big data management and achieve standardized management of the entire process from data collection to data assetization. Clarify data ownership and benefit distribution, as well as personal information protection and management responsibility for the entire life cycle of data. Clarify the classification and management of data resources and improve data resource management standards.

       Classification refers to accurately describing the basic data types of the government through the characteristics of multidimensional data; classification refers to determining the sensitivity of various types of data, formulating corresponding strategies for the opening and sharing of different types of data, and improving data collection, management, exchange, architecture, evaluation and certification And other standards to promote the introduction of basic specifications and standards for data sharing and openness.

       Taking the compilation of resource catalogs, the integration of resource integration, and the exchange and sharing of platforms as the three standard steps, adhere to the "one source and one source", multiple checks, and coordinate the construction of the government information resource catalog system and shared exchange system. Establish a scientific and reasonable data classification system, integrate data in different fields and multiple formats, and use multiple search methods, analysis tools, and applications to facilitate users to find and use data content.

Construction and operation of platform based on local conditions

       The construction and application of urban big data platforms must be combined to avoid the phenomenon of placing heavy emphasis on platform construction and light platform use. The data resources of government, industry and city are extremely complicated. It is necessary to clarify the rights attributes of platform data resources to ensure the ownership of data ownership.

       The government has the ownership of government data resources. Internet companies often have advanced data technology and professional teams with Internet thinking. Local companies have a clearer and more accurate understanding of local talent resources, market environment, and industrial development. Revitalize the resources of governments, Internet companies, local companies and other parties to participate in the construction and operation of the platform.

       The data governance and operation system of the urban big data platform is quite complex. There is no fixed model for the model and path of platform construction. It is necessary to give play to the subjective initiative of all parties, adapt to local conditions, tap local advantages, highlight local characteristics, and provide strong support for urban big data decisions. .

V. Comprehensive evaluation of urban big data

       Provincial and municipal big data authorities should formulate long-term platform operating mechanisms and evaluation methods, establish sound reporting, inspection, and evaluation mechanisms, design quantitative assessment content and standards, strengthen platform data quality control, and make good use of urban big data platforms.

       Strengthen the post-evaluation and project audit of urban big data platform projects, and strengthen audit and supervision of data resource construction and data sharing openness, data quality, and security. Scientifically build a comprehensive evaluation index system for urban big data platforms, carry out comprehensive evaluation of the effectiveness of urban big data platforms, guide the construction of big data platforms across cities, and continuously improve the effectiveness of urban big data platforms.

Six, strengthen platform data security

       Urban big data platforms contain a large amount of government affairs and industrial data, involving national interests, public safety, trade secrets, and personal privacy, and are highly sensitive. Therefore, it is necessary to strengthen the building of platform data security capabilities.

       Implement basic systems such as level protection, security assessment, electronic certification, and emergency management, establish a security assessment mechanism for data acquisition, transmission, storage, use, and openness, and clarify the protection scope, subjects, responsibilities, and measures of data security. To study and formulate data rights guidelines, data benefit distribution mechanisms, and data circulation and trading rules, clarify the data responsibility subjects, and increase protection for technology patents, digital copyrights, digital content products, and personal privacy.

Smart communities make residents ’lives“ technical ”

What kind of community do you want to live in?

       The affairs of the community and surrounding areas can be seen at a glance as long as the mobile phone is turned on; you can enjoy high-quality and convenient property services without leaving the house to meet almost all life needs ...

       Real smart life not only exists in the family, but not only from the entire city. Smart communities are also an important part of it. In recent years, with the continuous development of artificial intelligence, more and more people are integrating artificial intelligence with smart communities and exploring new forms of smart communities.

       The smart community is slowly becoming more realistic from an idea, and constantly improving the quality of our living.

Currently, Smart Community is using artificial intelligence technology , Internet of Things, cloud computing, mobile Internet and other new generation of communication technology integration applications, to provide community residents with a safe, comfortable, convenient modern, intelligent living environment, thereby forming an information-based, intelligent society A new form of management.

       Urbanization is an important driving force for the construction of smart communities. Authoritative data show that more than half of China's population currently lives in cities, and this number is still growing rapidly. By 2030, China is expected to have about 1 billion people living in cities, accounting for 70% of the total population. To enhance the sense of happiness and happiness of residents in science and technology, the "smart community" will undoubtedly become an inevitable choice.

       With the further improvement of artificial intelligence technology and applications, with the help of "Internet +" Dongfeng, the creation of smart communities has been in the ascendant in recent years, whether it is direct stakeholders such as real estate developers and property, or intelligent hardware, Internet companies, traditional retail, Financial, service and other external service-oriented institutions are all trying to find a place to rush for industry development opportunities.

       How to let the community where we live take the free ride of artificial intelligence to better improve the quality of life of residents is a key issue that many market players must consider. As a smart community solution provider, all real estate properties and intelligent technology companies deeply cultivating communities can not only greatly improve the quality of residential projects, but also enhance the brand image of developers, while providing the highest quality and intelligent services to residents It can also allow developers to form differentiated competition and greatly reduce operating costs. This is a win-win situation for developers, residents and technology companies.

       Even if the advanced scientific research technology is not applied in practice, I am afraid it will be discounted. How to base on user thinking and apply technology to every aspect of the construction of an intelligent community is a key issue that all property managers should think about. Smart access control systems, smart vehicle management systems, smart community public spaces, smart financial services, smart member services, smart integrated systems ... let efficient communication and interaction be established between various systems in a decentralized community, with multiple terminals acquiring and evaluating the community in real time The status of each system realizes intelligent decision-making and actions of property management. In this way, owners, businesses, energy, property, vehicles, etc.智慧社区系统管理中获益。

       Imagine if the stranger enters the owner's home, the system will promptly remind you, and at the same time, you can remotely observe the indoor situation, and the property can be notified by one-click on the phone or the alarm to avoid property damage. Is it more convenient and intelligent? In fact, this is just one detail in the smart community. Let residents get more sense of science and technology from smart communities. This is the people-oriented concept and the unremitting pursuit of enterprises.

Artificial Intelligence is gradually being instrumentalized, but its future direction should be to become human The extension and enhancement of our own abilities has become a trustworthy and indispensable assistant for human beings.

                                        

 

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What is a smart community?

Smart Community Technology Four trends: the development of a wider network and systems Integration, intelligent equipment, and ecological design.

"Smart communities", "smart communities", "smart parks" ... the birth of a large wave of "smart" terms has made us outsiders hear the fog.

What exactly is a smart community? What features does Smart Community have? Is only the new high-end community a smart community? Can the old community become a smart community?

In fact, a smart community refers to a new type of management community that makes full use of the integrated applications of the new generation of information technologies such as the Internet, the Internet of Things, big data, and cloud computing, and is based on information and intelligent social management and services.

Functionally speaking, the smart community is based on the community residents as the core service. It provides safe, efficient and convenient intelligent services to residents from various aspects, such as government affairs information, property information, property services, and commercial services. Development needs. Mainly backed by a highly developed "neighborhood center", high-level security And smart community control composition.

This new form of community management, which integrates intelligent social management and service, makes the communication between the property and the owner smoother, and brings more convenient life to the public.

Simply put, with this smart community, our basic needs such as daily living consumption, home care, medical care, and family security prevention can be solved in a more humane way.

For example, face recognition within 1 second of entering a residential area, and automatic opening of barriers to release, owners no longer have to worry about forgetting to bring access cards; when someone visits, the owner only needs to use a mobile phone, IPAD, etc. Who, not only can make video calls, but also can remotely open the door with a simple click on the tool ...

  Smart Community Development Trend:

1. Application

①. Wisdom applications penetrate all aspects of residents' lives.

②. There is a strong demand for the living security services of special groups.

2. Technical aspects

①. Extensive network

Through a complete community local area network and the Internet of Things network, it is possible to realize the automation and intelligence of the community's electromechanical equipment and family homes, and to realize remote digital intelligent monitoring of the network.

②. System integration

Through platform construction towards integration, information and resources are more fully shared, which improves the system's service capabilities.

③. Intelligent equipment

Various basic and status information of the infrastructure and the home appliance itself will be available through the Internet, and these devices can be controlled through the Internet. The devices can also work together through certain rules.

④. Ecological design

The ecological design concept is more in line with the comfort and sustainable development goals of the human living environment.

 

Article source: CPS Zhonganwang cps.com.cn

Face recognition access control equipment

Face recognition The application of technology is becoming more and more widespread, especially in the access control system. It can be said that it is in full swing, then the current access control system generally needs to add face recognition function. ? Just share it today, I hope to help everyone.

       Face recognition access control system is a high technology for verifying digital images or video frames from face recognition equipment. Face recognition will analyze the features of face image input through a video door intercom with face recognition function. Face recognition measures the entire facial structure, including the distance between eyes, nose, mouth and ears. The following is one of the products widely used by Shenzhen Ximex Wisdom:

Products:

        Product model: Thinmoo VF618

     

         product feature  

  • Diversified face entry: App, face device, photo batch import, USB camera capture, U disk import, etc., easy to enter and export
  • Made of precision, the equipment is waterproof and dustproof up to IP54
  • Using 2 million high-definition wide dynamic camera, it can quickly and accurately capture face information for verification comparison
  • Fast face recognition, technology blessing, perfect performance without networking
  • Diversified unlocking: mobile phone unlock / face recognition unlock / optional QR code unlock / property tube unlock
  • ID card unlock / compatible password swipe / phone unlock
  • Live detection, anti-counterfeiting and anti-counterfeiting
  • Rich information dissemination, text pictures video can be issued
  • Remote cloud operation, synchronous update, view device status information
  • Security capture: video information collection and warning for incoming and outgoing personnel

           Product parameters:

  • Work Mode: Network, Offline | Operating System: Android
  • Resolution: 1920 * 1080 | Display: 7 inches | Expandable storage: 32G
  • Operation mode: touch screen | Network connection: Ethernet, WiFi, RS485, 4G
  • Working voltage: DC12V wide voltage ± 10% | recognition time: less than 200ms
  • Working temperature: -25 ℃ ~ 65 ℃ | Operating humidity: 10% ~ 95%
  • Input interface: door open button, tamper resistance, door sensor, alarm, etc.
  • Product size: 255 * 150 * 26

 

           Installation method:

  

    

      

Product application scenarios:

        It is suitable for offices, hotels, access gates, office buildings, schools, shopping malls, shops, communities, public services and management projects that require face access control.

       Shenzhen Ximo Smart Technology Co., Ltd. is a high-tech enterprise focusing on smart communities and smart homes. The company has deep technical accumulation in Internet audio and video communications, intelligent hardware, security, and artificial intelligence; the company has industry-leading mobile Internet-based Smart community smart home series products and solutions, the main products are mobile phone Bluetooth two-dimensional code cloud access control, face recognition cloud intercom, community robots, smart home and other products and cloud platforms; the company is based on customer first, quality first, and pragmatic The business philosophy of hard work, openness and win-win situation, constantly making quality products, returning customers with quality products, and serving a better community!

LoRa在未来的物联网市场中的位置

       Since its appearance, LoRa technology has attracted much attention from the industry because of its low power consumption, long transmission distance, and flexible networking, which meets the needs of the IoT fragmentation, low cost, and large connections. After several years of fermentation, the LoRa industry chain has begun to take shape. However, if a technology is to continue to develop in the long term, it must advance with the times and evolve and iterate the technology according to the actual industrial environment and application requirements. 

LoRa technology also faces this problem. On the one hand, for the entire Internet of Things communication technology, low power, low The concept of cost has become an industry consensus. The family of low-power wide-area network (LPWAN) technologies continues to grow, and even if LoRa belongs to the best of them, it will face certain pressures. On the other hand, all IoT technologies are for applications Services, especially in IoT applications, will have longer links and more participants. Therefore, IoT technology needs to sink and be more friendly with applications. This is the trend of the entire IoT industry. .

       Therefore, even though LoRa technology has not been born for a few years, in a rapidly changing market environment, timely changes and innovations are needed to make the entire LoRa industry develop healthier. In fact, LoRa technology has also been working in this direction. Semtech has recently launched a roadmap specifically designed for solution providers and system integrators, and also released the LoRa Cloud geolocation service at the same time. Among the many such services expected to be launched this year, the kansas can see many clues about the development of the Internet of Things, especially LPWAN. 

The author learned that recently, Semtech has launched a new powerful platform based on LoRa solutions, which includes developer building blocks, cloud services and manageable hardware. And provide a complete set of development accelerators to implement LoRa-based Internet of Things Process development and simplification of application development , deployment and management. Focusing on the rapid development and deployment of IoT applications, this LoRa-based platform implements three innovations in addition to supporting the LoRa Alliance ’s open LoRaWAN standard, which can quickly implement the basic code building blocks LoRa Basics required by customers, which can make A cloud-based, modular LoRa Cloud service for networking project startup services, and a new, flexible, modem-based hardware platform.

       In addition, Semtech also announced the launch of LoRa Cloud geolocation service, a new, cloud-based, geolocation service compatible with LoRaWAN protocol and most web servers. This service enables developers to quickly build IoT solutions using multi-mode positioning capabilities, including Wi-Fi, GNSS, and LoRaWAN-based geolocation, without having to take on the development complexity involved in building solutions from scratch, reducing The development cost of the solution provider and system integrator, and optimize the performance of the solution. 

 

The logic behind Semtech's latest release

What is the significance of the latest technical update released by Semtech, the author mainly analyzes from the following 3 aspects 

1. Simplify the development difficulty of LoRa

       Semtech's update is a technological evolution aimed at a pain point in the current IoT application market. Generally speaking, the chip provides basic capabilities. The transformation from a chip to a finished product requires module manufacturers, solution providers, and even terminal manufacturers to carry out secondary and tertiary development before it can become a form that meets specific business needs. The LoRa Cloud capability introduced this time undoubtedly simplifies the subsequent development of LoRa chips. 

2. Facilitate system integrators to expand their business

At present, the most important application of the Internet of Things is project-based enterprise-level applications, which are characterized by large investment, long cycles, one-to-one customized supply and demand docking, etc. This requires Technical Providers provide complete solutions. In actual operation, system integrators often play a direct role With regard to the role of users, how to help system integrators expand their business is also an important issue in the current Internet of Things industry. LoRa Cloud can not only reduce the difficulty of development, but its strong compatibility can allow system integrators to integrate more capabilities, reduce solution costs, and shorten development cycles.

       Taking this release of positioning services as an example, LoRa positioning can be integrated into any LoRaWAN-based network server. The Netherlands' IoT service provider The Things Industries has taken the lead in integrating Semtech's geolocation trial service and commercializing the service at Semtech. Later, the service was included in its product as an out-of-the-box add-on option. In addition, Semtech also plans to integrate the current mainstream positioning technologies (GNSS, WiFi, Bluetooth) and other capabilities into LoRa modules or chips. System integrators or solution providers can choose which positioning functions are directly implanted according to the specific needs of the project. Greatly simplified product development. 

3. Multi-dimensional combination perfects the LoRa industry ecology

       Finally, Semtech's recent release is no longer just hardware-only behaviors such as chip sensitivity improvement and power consumption reduction, but a set of "combination punches" for multiple tools, services, and peripheral hardware options. A perfection and expansion of the industrial ecology. On the one hand, product update and iteration help to develop new applications, make the entire industry more dynamic, and of course, make the entire LoRa ecosystem more dynamic. 

On the other hand, the expansion of the product portfolio has also brought Semtech, as LoRa's technology source enterprise, closer to end users, while also enabling solution providers and system integrators can use these tools and services added in the roadmap for this release to quickly Customers in such fields build personalized IoT networks and provide services. This also conforms to the industry trend that the Internet of Things is driven by demand, which has a positive significance for the improvement of the entire LoRa industry ecology.

       It is reported that the number of LoRa nodes currently deployed globally has reached 80 million and the number of base stations has exceeded 240,000. The LoRa industry chain is growing rapidly, which also confirms that the Internet of Things industry is accelerating. I believe LoRa will occupy an important position in the future IoT market.

 

                                                                                                 This article comes from the Internet. If there is any infringement, please contact the first time to delete it.

What core technologies are used in smart city construction

       Smart cities are the direction of the development of the international community. Although various countries have various types of positioning, they cannot be separated from these core technologies. This is also the standard for judging the smart cities in today's society. The scale of implementation is huge, and the human, material, and financial resources required are unimaginable. It is the direction and course of people's struggle in the next 10 years. Smart cities will make people's lives better.

Smart City core technologies required: < / strong>

1. Internet of Things technology:
The Internet of Things is the Internet of Things. Through information sensing equipment, according to the agreed protocol, any item is connected to the Internet for information exchange and communication, in order to achieve intelligent identification, positioning, tracking, monitoring and monitoring of items. A network of management.

2. Cloud computing Technology:
Cloud computing is an Internet-based service Adding, using, and delivering models usually involves providing dynamically scalable, often virtualized, resources over the Internet.

3. Augmented reality technology:
It is also called mixed reality. It uses computer technology to apply virtual information to the real world. The real environment and virtual objects are superimposed on the same screen or space in real time.

4. Spatial Information Grid Technology:
It is a spatial information infrastructure that aggregates and shares geographically distributed massive spatial information resources, organizes and processes them in an integrated manner, and has on-demand services, powerful spatial data management capabilities and information processing capabilities.

5. Data fusion technology:
Refers to information processing technology that uses a computer to automatically analyze and synthesize certain observation information obtained in time series under certain criteria to complete the required decision-making and evaluation tasks.

 

                                                                                    Original link:https://blog.csdn.net/duozhishidai/article/details/86668333

Advantages of QR code access control

The reason why QR codes are now Access Control System is very useful Extensive, in all sizes, as well as in high-end office buildings and schools, the two-dimensional code access control system will be used to replace the traditional access control system. The main reason is that it has a more professional and safe use effect, and will also improve office management efficiency. The pressure of security work management is greatly reduced, and natural applications will be fully promoted.

Two-dimensional code access control system What are the advantages

1. Safe, efficient and convenient

       By using a two-dimensional code access control system, it is usually easier and more convenient to go out, especially not to worry about the embarrassing problem of forgetting to bring a key or an access card, because directly scanning the code through the two-dimensional code on the mobile phone, it is safer and more efficient. Convenient, staff will also be more at ease in management. Through big data informatization processing, they can better understand the data that usually enters and exits, and effectively summarize security work.

 

2.Easy for security management

Many office buildings will have security doors between floors. This security door only allows some people to enter and exit. Traditional access cards can only be entered by entering a password. This is difficult to perform comprehensive security management. By using Two-dimensional code access control system will naturally achieve a more secure and intelligent Management effects, avoiding random access, and make safe work management smarter.

 

3. Reduce visitor management costs

Different communities also have environments such as office buildings. Generally, there is no visitor handling function, but by using QR code access control, it can make visitor management easier, because the owner directly determines whether the visitor is Access is allowed. Property staff or security personnel do not need to confirm, so they can reduce visitor management costs and improve daily work efficiency.

       In summary, the reason why two-dimensional code access control systems are widely used is because they do have very good use advantages, meet the specific requirements of security in various environments, and improve the efficiency of property management. Major office buildings and scenic spots The efficiency of work management has been promoted. In short, a variety of different environments are widely used, and they can have better advantages.

 

 

 

 

Article Source:https://www.qianjia.com/zhike/html/2019-11/5_14958.html

Smart access control system facilitates the community

       With the continuous improvement of people's living standards, people pay more and more attention to information security, property security, and personal safety. With the rapid development of technology and artificial intelligence, the community access control system has also been upgraded, the smart access control system has entered the people's field of vision, and smart community services are underway.

       The design principle of access control identification technology for smart communities is humanized. The human system is the main body. The system design should closely surround the actual needs of people. It should be based on the principles of practicality, simplicity, economy and safety, and at the same time take care of the needs of different groups of people and meet the needs of users. Features. Since the smart community access control has no extension, there is no large amount of wiring, and the maintenance cost is less than 20% of the traditional access control. Smart access control manufacturers can maintain access control for life, and the property saves trouble.

       The face recognition access control system is based on the face recognition device. It is no longer necessary for people to carry cards to avoid the trouble of forgetting or losing the cards. Only people need to stand in front of the device to scan facial features, and the system will automatically and background information. Compare and quickly and accurately make the results of the release, the operation is simple and the community looks more high-end, more technical. Simply put, the following are the following:

        1, convenient for owners to open the door
       After the smart access control, the owner can use the mobile phone to open the door, and no longer need to take the access card at all times.
        2, convenient for visitors to pass
       The owner can forward the QR code pass to the visitor and the visitor can use the QR code pass to self-service.
        3, higher security
       Intelligent access control can also query the log in and out, facilitate property management, and improve security.
        4. Reduce the workload of the property
       The property management can carry out access control and log-in query in the background of the web, and can also establish the entry and exit personnel data repository. The addition of intelligent technology simplifies the process of property management and reduces the workload. 

       Through the control of access and control, the intelligent community access control, according to clustering, group opening and other factors, the property can safely control pyramid schemes, gambling and other activities in the community, and the illegal elements do not dare to rent rental houses with electronic access control system, the community is more secure and reliable .

       When illegal intrusion, access control is broken, etc., the system will send real-time alarm information to the property management center computer, so that the vandals are invisible.

       Shenzhen Thinmoo Wisdom Technology Co., Ltd., a high-tech enterprise focusing on smart community smart home, the company has deep technical accumulation in Internet audio and video communication, intelligent hardware, security, artificial intelligence; the company is based on customer first, quality first The business philosophy of conscientious and hard work, open and win-win, continuous manufacturing of quality products, returning customers with quality products, and creating a better community!

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