The face recognition access control system replaces the traditional video intercom system with stronger safety and reliability

    The traditional video intercom was introduced from western developed countries in the 1990s and has been widely used in various communities. The production of video intercom equipment provides convenience for two-way visual communication between visitors and residents, so as to achieve image transmission and recognition, thereby increasing safety and reliability. However, the traditional intercom recognition relies on "human eye recognition". At the same time, the reliability of the system is not strong.

    With the advent of face recognition technology, the advantages of traditional video intercom systems are gradually being replaced, and many high-end communities are also replacing traditional video intercom systems with facial recognition access control systems to improve community safety and convenience. Luo Jun, Chief Technology Officer of Shenzhen Yungan Internet of Things Technology Co., Ltd. gave a professional answer on the difference between traditional video intercom and face recognition management system.

    The face recognition access control system replaces the traditional video intercom system with stronger safety and reliability

    Luo Jun, the chief technology officer of Shenzhen Yungan Internet of Things, pointed out that the traditional video intercom we see every day is a part of the ordinary building intercom system. It has been applied in my country for nearly 30 years, and it has been popular for more than 10 years. A relatively ordinary community safety management system. Most mainstream building intercom systems generally include two parts, namely ID card access control, that is, the swipe card access control system, and the other is the video intercom system, also known as the video doorbell. The working principle of this system is simple. Residents hear the ringtone and judge whether to open the door through the image and sound signals transmitted by the visual system, just like answering a video phone. Therefore, the security of this system comes from "human eye recognition" and " Human ear recognition".

    Face recognition is a kind of biometric identification technology based on the facial feature information of people. It mainly uses a camera to collect images or video streams containing human faces, and automatically detects and tracks human faces in the images, and then performs a series of face-related analysis and recognition technologies on the detected human faces. Once face recognition is applied to community management, the security and convenience of the community will be greatly improved. First of all, face recognition is an intelligent system based on cloud platform and big data. The basic information of all members of the community are all entered into the cloud platform. At the same time, the cloud platform can interact with public security and other systems to have basic control over all kinds of people and have the ability to predict high-risk groups. Secondly, the face recognition system does not require the owner to carry other access control auxiliary equipment, such as access control cards. For community residents, it undoubtedly greatly improves the convenience. At the same time, the recognition efficiency of the face recognition system is high, surpassing "face recognition", "voice recognition", and "ID card recognition". The face recognition efficiency of Shenzhen Yungan Internet of Things can reach the second level. Finally, for community management, the biggest advantage of face recognition lies in security. It can have a timely effect on different groups of people entering the community, such as residents, visitors, sales promotion, express delivery and even criminals. Once a dangerous person is found, it can be At the same time, simultaneous warnings are issued to the community, security, police station, etc.

    The building management system based on face recognition independently developed by Shenzhen Yungan Internet of Things, on the basis of traditional video intercom, integrates face recognition, cloud platform, big data and other Internet of Things technologies to realize community "face-sweeping" to open the door.

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