In the past two years, every school season, colleges and universities welcome freshmen, and all kinds of new technologies will appear collectively. At the gate of Xianzi Hall of Xingqing campus of Xi’an Jiaotong University, two “face recognition” check-in instruments, one left and one right, can quickly and accurately identify the identity, which is very eye-catching. Face recognition check-in is also planned to be used for the check-in and attendance of the second classroom of Jiaotong University Students in the future.
In 2019, Fudan fully launched face recognition “face brushing” check-in. Freshmen only need to brush their faces against the screen at the check-in place, and then their names, student numbers and departments can appear. It takes only 1 second to check-in successfully.
As an identity information recognition technology, face recognition technology is more deployed on video monitoring equipment, enabled in the field of intelligent security, and can be widely used in finance, justice, border inspection, government, aerospace, electric power and other fields. Now the intelligent landing of face recognition in smart campus is not only the industry trend of new intelligent development, but also the only way of intelligent construction.
Overcome three major technical barriers and help the landing and upgrading of smart campus
Compared with the wide popularization and improvement of face recognition technology in the field of smart security, the commercialization of face recognition in smart campus is a development trend that has only gradually sprung up in recent years. The campus is the basis of the integration of teaching, research and living environment, and the integration of Campus Intelligence.
Among them, the face recognition technology that promotes the construction of smart campus is divided into three parts: face detection, face tracking and face comparison. The technical process design of face recognition system mainly includes four parts: face image acquisition and detection, face image preprocessing, face image feature extraction, matching and recognition.
The progress of landing and upgrading of smart campus depends on the strength of overcoming the three technical barriers of face recognition: external environment light processing ability, recognition algorithm ability and image recognition processing ability.
Although more than 97% of the ideal recognition data can be achieved under the laboratory simulation conditions, the problem of external environment light in real life has always been the key and difficult point of face recognition technology. The adjustment and processing of light has always been a technical problem that needs to be solved urgently, followed by the recognition algorithm ability and later image recognition and processing ability. Computing power is the core problem of recognition technology, and the image recognition and processing ability is the hard strength of technology. Therefore, these three technical barriers are the top priority for the application of face recognition technology.
The smart teaching, smart educational administration management and smart cloud service platform in the landing of smart campus are the upgrade highlights. With the personalized needs and functional services of campus network users, starting from the actual needs of the development of schools, teachers and students and educational reform, combined with intelligent all-in-one card, electronic class card, electronic reading room and other Internet of things products, through the unified data synchronization of the user center, it can provide “one-stop” services for education management departments, schools and parents of teachers and students Integrated “intelligent education application service. It is a good policy that can really promote the landing and upgrading of smart campus.
From smart security to smart campus, what empowerment has face recognition done?
As we all know, the application of face recognition technology in the field of intelligent security can not be popularized, and its commercialization is stable and developing well.
For example, face recognition, access control and attendance system, anti-theft door and other hardware equipment applied in enterprise and residential security and management are relatively basic; The e-passport used in customs security inspection is a powerful tool for effective identification; The face recognition system and network applied in public, judicial and criminal investigation will help state organs search and arrest fugitives throughout the country; And applications in self-service and information security are entering the stage of application popularization and full implementation.
In the process of using face recognition technology to start intelligent security, a large number of AI security science and technology innovation enterprises have emerged. For example, the face detection and tracking technology of Shangtang technology can realize millisecond level face detection for images with complex background and low quality or monitoring videos of hundreds of people. This technology can also adapt to various actual environments such as side face, occlusion, blur, expression change and so on.
The dynamic face recognition technology of Kuangshi technology can realize the millisecond response of face detection, key point location and face recognition in video stream, so that the face recognition technology can realize non cooperative rapid processing in actual scenes, and can be widely used in real estate, security, transportation and other fields.
In order to enable and accelerate the rapid landing of smart cities, face recognition science and innovation enterprises make use of their own technical advantages to plough into other extensive fields available for identity recognition. In addition to the field of smart security, smart campus is the primary mining field with fast and applicable face recognition. In the construction of smart campus, first of all, it needs a unified infrastructure platform and a network environment with wired and wireless dual network coverage; Secondly, we need a unified data sharing platform and comprehensive information service platform. Therefore, smart campus is also the upgrading, construction and development of digital campus.
At present, the development of building a smart campus based on face recognition is gradually popularized. From the perspective of industry demand, it is worth paying attention to focusing on the security management of smart campus. Face recognition technology can be deployed to the authentication of access control equipment, and can effectively identify, record and control the visits of outsiders on campus. It plays a very positive role in ensuring the intelligent management of students’ personal safety.
From the perspective of industry trend, the landing of face recognition technology in smart campus is a basic application, and the derivative development based on face recognition technology, intelligent video monitoring system, intelligent perception environment, integrated information intelligent service platform, intelligent integration of computer network information services, etc. can accelerate the landing of smart campus construction.
Source: Security Exhibition Network