Elevator trapped person detection method based on computer vision
A computer vision and detection method technology, applied to elevators, lifts, transportation and packaging in buildings, etc., can solve problems such as call button damage, untimely call alarm response, etc., to reduce the incidence, avoid heavy workload and Fatigue problem, the effect of improving accuracy
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[0048] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0049] Such as figure 1 As shown, the present invention provides a kind of elevator sleepy person detection method based on computer vision, comprises the following steps:
[0050] S1: Use the camera of the elevator car to collect the scene video of the elevator;
[0051] S2: Determine whether the elevator door of the elevator car is closed and whether the closing time exceeds the set threshold, if so, enter step S3, otherwise return to step S1;
[0052] S3: Build a convolutional neural network model for the elevator scene video;
[0053] S4: Use the convolutional neural network model to identify the number of people in the video of the elevator scene, and feed back the result of the number of people in the elevator car to the monitoring center to complete the detection of people trapped in the elevator.
[0054] In the embodiment of the present inven...
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