Elevator passenger weight identification analysis system based on deep learning
A deep learning and re-identification technology, applied in the field of elevators, can solve problems such as the inability to obtain the overall portrait of residents, and achieve the effect of precise delivery
Inactive Publication Date: 2019-07-05
ZHEJIANG NEW ZAILING TECH CO LTD
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Problems solved by technology
[0003] The main purpose of this solution is to automatically identify the floor where the residents live and automatically send the residents to the floor they live by installing monitoring equipment and other safety equipment in the elevator, but it is impossible to realize the number of residents through the monitoring equipment installed in the elevator. Statistics, so that it is impossible to obtain the overall portrait of the residents, and it is impossible to quickly and accurately place advertisements in the elevator to maximize the economic benefits of the elevator, so it has many limitations in the elevator application field
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[0019] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0020] Such as Figure 1 to Figure 3 As shown, an elevator passenger re-identification analysis system based on deep learning includes a monitoring device, an image acquisition unit, a target detection and analysis unit, a re-identification analysis module, an information analysis module after deduplication, a portrait module, and an information playback module.
[0021] The monitoring equipment is installed on the top of the elevator car or on the display screen inside the elevator to ensure that the camera can shoot the elevator car in real time with the largest viewing angle and collect the surveillance video inside the elevator.
[0022] The image acquisition unit preprocesses the image data captured by the monitoring equipment for subsequent analysis by the target detection and analysis classification unit. The preprocessing methods for im...
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The invention discloses elevator passenger weight identification analysis system based on deep learning. The elevator passenger weight identification analysis system based on deep learning comprises monitoring equipment, an image acquisition unit, a target detecting analyzing unit, a weight identification analysis module, a weight-removal information analyzing module, a portrait module and an information play module. The elevator passenger weight identification analysis system performs weight removal on all passengers acquired within certain time in elevator monitoring in real time, and perfects all resident number information within the range to which the elevator belongs.
Description
technical field [0001] The present invention relates to the field of elevators, and more specifically, it relates to an elevator passenger re-identification analysis system based on deep learning. Background technique [0002] At present, the utilization of elevator information resources is extremely lacking in the market. The closest prior art is CN201811105728.5, a device for automatic identification of resident floors by elevators, which discloses a device for automatic identification of resident floors by elevators. The lighting equipment includes constant lights and Work lights, the four corners of the elevator car box top are respectively provided with constant lights, and the work lights are arranged at the center of the box top; the monitoring equipment includes a monitoring camera and a portrait acquisition camera, and the monitoring camera and portrait The acquisition camera is facing the door opening side of the elevator car, and the portrait acquisition camera is...
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IPC IPC(8): B66B5/00B66B3/00
CPCB66B3/008B66B5/0012
Inventor 王伟王超陈清梁
Owner ZHEJIANG NEW ZAILING TECH CO LTD