The stock of elevators in my country exceeds 7 million, and the frequent occurrence of elevator personal injury accidents has attracted great attention from the society. However, the current traditional technologies including monocular vision solutions still cannot solve the problem of elevator personal injury protection. Based on this, Leggett creatively used the artificial intelligence technology of three-dimensional vision to bring a major breakthrough in elevator behavior analysis technology.
Combining the needs of subway applications, LEGATE has developed a solution for the management of subway smart side door, creating a new generation of intelligent travel scenarios with "biometric recognition + credit payment". This solution is mainly used for passengers in special circumstances or for 65-year-old people to enter and exit the station free of charge. It needs to be opened by subway staff, and the passenger conditions (such as ID card, senior treatment card, etc.) need to be verified each time before opening. This will result in low passenger efficiency, heavy workload for station staff, and high management costs. The solution for the management of subway side gates successfully solved this problem.
The development trend of smart turnstiles is based on the four aspects of lightweight, intelligent monitoring capabilities, payment insensitivity, and big data. In the face of the shortcomings of traditional turnstiles, Leggett uses professional advantages and accumulated experience, and found through research on efficient and intelligent traffic technology. Among many computer three-dimensional vision recognition algorithms, it has found that it can be applied to the field of navigation. Visual recognition technology is most in line with the application requirements of efficient intelligent traffic technology.
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