High-altitude safety belt detection method, device and equipment based on multiple modes and storage medium
A detection method and a technology for seat belts, applied in the computer field, can solve the problems of easy concealment of features, easy occurrence of false detection and missed detection, easy false detection, etc., to achieve excellent detection accuracy and robustness, and to improve detection accuracy. Effect
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Embodiment 1
[0055] see figure 1 , figure 1 It is a schematic flowchart of a method for detecting high-altitude safety belts based on multimodality disclosed in the embodiment of the present application. Such as figure 1 As shown, the embodiment of the present application discloses a multimodal high-altitude safety belt detection method, including steps:
[0056] 101. Obtain the operation map of personnel at height collected by the first imaging device and the thermal imaging diagram of personnel at height collected by the second imaging device;
[0057] 102. Calibrate the thermal imaging map of high-altitude personnel according to the RGB image, and obtain the calibrated thermal imaging map;
[0058] 103. According to the preset image feature extraction network, extract the image features of the aerial work map and use it as the first image feature;
[0059] 104. Extract the image features of the calibrated thermal image and use them as the second image features;
[0060] 105. Determ...
Embodiment 2
[0085] see image 3 , image 3 It is a schematic structural diagram of a multi-modal high-altitude safety belt detection device disclosed in the embodiment of the application. Such as image 3 As shown, the device of the embodiment of the present application includes:
[0086] An acquisition module 201, configured to acquire the operation map of the high-altitude personnel collected by the first imaging device and the thermal imaging diagram of the high-altitude personnel collected by the second imaging device;
[0087] Calibration module 202, used for calibrating the thermal imaging map of high-altitude personnel according to the RGB image, and obtaining the calibrated thermal imaging map;
[0088] The first feature extraction module 203 is used to extract the image features of the high-altitude personnel operation map according to the preset image feature extraction network as the first image feature;
[0089] The second feature extraction module 204 is used to extract t...
Embodiment 3
[0095] see Figure 4 , Figure 4 It is a schematic structural diagram of a high-altitude safety belt detection device based on multi-modality disclosed in the embodiment of the application. Such as Figure 4 As shown, the equipment of the embodiment of the present application includes:
[0096] processor 301; and
[0097] The memory 302 is configured to store machine-readable instructions. When the instructions are executed by the processor 301, the processor 301 executes the multi-modal high-altitude safety belt detection method disclosed in Embodiment 1 of the present application.
[0098] Compared with the existing technology, the device in the embodiment of the present application can integrate RGB images and thermal imaging images through multi-modal input, and greatly improve the detection accuracy of people through their complementarity, while the existing technology only uses A certain mode is used for human detection, and under the premise that the outdoor high-al...
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