Health Supervision System Of Catering Staff Based On Target Detection

As we all know,food safety is very important for national development and people's health.In recent years,frequent food safety problems have not only damaged the national economic development,but also brought a huge negative impact on social prosperity and stability and people's health.Wearing masks and sanitary hats plays an important role in the prevention of food safety issues.Therefore,it is of great significance to accurately and timely judge whether the employees wear sanitary caps for finding health problems and improving food environmental safety supervision.However,the way of manually viewing and operating video not only consumes a lot of manpower,but also is slow and unsustainable.Deep learning has made achievements beyond traditional machine learning algorithms in image processing,natural language processing and other fields,breaking the limitations of manual feature selection,and can learn deeper and wider features independently,so as to achieve better results.According to artificial intelligence technology,food safety level can be effectively improved,and the timeliness and effectiveness of early warning and supervision can be increased.In this project,I use spring boot to build the server,follow the design mode of front and back-end separation,and adopted the back-end structure of distributed micro service to realize the health supervision system for catering staff.This paper proposes a general scheme of rapid encapsulation of server model based on mixed language programming,and uses docker container engine to encapsulate complex algorithm environment,which improves the stability and portability of deep learning algorithm.In order to effectively monitor the wearing of masks in food processing,a face detection algorithm based on deep learning was proposed in this paper,which reduced the possibility of virus contamination,promoted the smooth development of national epidemic prevention work,and enhanced the barrier of food safety.The task scenarios of health hat wearing detection and mask wearing detection are complex.Considering various practical problems,this paper designs the structure of deep learning network in detail,and finally completes the health supervision system of catering personnel based on the algorithm of health hat and mask wearing detection,standardizes the prohibited behaviors in food safety,improves the efficiency and quality of supervision,and promotes the rapid development of food health and safety supervision.