1. Design requirements
Mask recognition and wireless temperature measurement system based on STM32 design
1.1 Project background
With the development of fast reading in deep learning and computer vision, related technical equipment has been widely used, not only in these two aspects, but also in many fields. As we all know, the most important step in image understanding is target detection, and for target detection, it is actually very simple. Among the large amount of captured image information, select the most interesting target and further determine their various information , such as position size, etc., such work is one of the key cores in the field of machine vision. Object detection is the foundation in the field of computer vision, because it is about object classification tasks and object positioning tasks, so the importance of this technology for image understanding is self-evident.
In 2020, the new crown pneumonia is sweeping the world. The new coronavirus can be transmitted through respiratory droplets and other means. Wearing a mask correctly can effectively cut off the transmission of the new crown pneumonia virus and is an effective measure to prevent infection. Masks are required to be worn in public places in China, and the response measures in crowded places such as shopping malls, restaurants, and subways are often unsatisfactory for peak hours of human traffic, and there are usually complex factors such as occlusion, dense crowds, and small-scale targets in natural scenes. It has an impact on the detection effect of wearing a mask on a face.
In response to this problem, this system has a mask wearing detection algorithm in complex scenes, which can automatically, accurately and quickly identify whether people in pictures or videos are wearing masks, cooperate with the temperature measurement system designed by STM32, and prevent viruses by being able to detect feverish people in advance spread y