A method for establishing a neural network model for real-time detection of mask wearing and an implementation system
A neural network model, real-time detection technology, applied in biological neural network models, neural learning methods, neural architectures, etc., to achieve great practical value, reduce labor, and reduce detection costs.
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[0075] Embodiment:
[0076] The system according to the present embodiment includes a camera, raspberry sent 4b boards, NCS2 neural computation rods, a mask detect pre-trained model, body temperature infrared probe, voice broadcast module, a display screen; camera capture detection region Facial images, body temperature infrared probe detected before the camera person's body temperature, raspberry pie were acquired temperature information of the image information and image of persons captured by the camera, to import pre-training model mask testing to NCS2 neural computation stick, after nerve stick acceleration reasoning, real-time the regional staff to detect whether taken with a mask image recognition analysis and processing, and the corresponding screen display and the picture on the screen wearing masks and body temperature value is correct text prompts.
[0077] Facial capture camera for image detection region;
[0078] Camera with the official launch of Raspberry Pi camera ...
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