Facial recognition gate help scenic spots, venue activities, campus libraries
Facial recognition gate help scenic spots, venue activities, campus libraries
With the increasing popularity of tourism year by year, major scenic spots will usher in a peak of tourists every holiday, and problems such as queuing to buy tickets, controlling the flow of people in scenic spots, scenic spot safety, and destroying objects in scenic spots have become increasingly prominent. In order to better serve tourists, many scenic spots have accelerated their intelligent construction.
In the tourist season of July, Changsha Shiyan Lake tourist area used the self-developed face recognition technology to apply the face recognition ticket checking system in the scenic area, and entered the new era of "swiping the face into the park". After the tourists purchase the tickets in the real-name system, they can complete the "face-brushing" at the gate of the scenic area and successfully enter the park.
It is worth noting that this ticket check is different from other scenic spots. It needs to collect images of tourists in advance before entering the park. Instead, it selects the function of comparing the identity card. After the tourists purchase the tickets with real names, the equipment at the gate gate of the scenic spot will be admitted *Information, real-time collection of tourist facial data through the camera, and after successful comparison with the identity* information, the tourist can successfully enter the park.
After using the face recognition system in the scenic spot, visitors can enter the scenic spot by raising their heads, swiping their faces, and quickly entering the park. It takes only a few seconds. Not only has the efficiency of entering the scenic area been improved, but the tourist experience has also been improved. In addition, compared to QR code verification, fingerprint recognition, palmprint recognition, finger vein recognition, etc., the advantages of using face recognition are very obvious. Face recognition is not only more accurate, but also passive for tourists. Recognition, there is no need to do more coordination actions, the experience will be better.
With the development of smart scenic spots, the application of face recognition technology in scenic spots can also achieve more functional applications, improve data analysis for scenic spots, and help the development of "smart scenic spots".
In recent years, major colleges and universities have accelerated the upgrading of smart campus construction and introduced smart devices based on the actual situation of the campus, such as campus entrance and exit management, campus parking, campus attendance and library borrowing systems. Among them, the campus library introduced face recognition technology and implemented the smart micro library. Different from the previous libraries, a smart micro library equipment covers an area of only 1.2 square meters, but has a collection of 650 books, and the library is not available for 24 hours. With intermittent operation, students can borrow and return books through face recognition login information on their own, without the cumbersome process of borrowing and returning books such as swiping cards and entering passwords; schools can also use this technology to strengthen book management to avoid books without traces. , Failure to investigate the damage liability and other issues.
This new borrowing method with a strong sense of interaction and a sense of science and technology effectively breaks through the time and space limitations of the traditional library service on campus, and also saves the school the management cost of special staff. The intelligent borrowing method implemented by the face recognition technology has set off a reading craze among students.
Mature and reliable face recognition technology is the prerequisite for its widespread application in smart campuses, and face recognition technology plays an important role in the process of campus intelligence.
Editor: eva
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eva@tdzgs.com
