Design of restaurant intelligent seat-seeking system based on ESP32

In view of the recent increase in the number of colleges and universities, the university campus is more open than before, which makes it difficult for students to find seats in public places. This paper puts forward a restaurant intelligent seat finding system based on ESP32 to solve this kind of phenomenon. Through the combination of software and hardware of the system, using edge AI technology, cloud platform, Internet of Things platform and WeChat applet, the function of real-time monitoring the seating situation of restaurant seats and feeding the dynamic data of real-time restaurant seating information back to the user’s WeChat applet through the cloud platform is realized by assisting data visualization. Through the delivery of real-time information, students can arrange meals more efficiently, and solve the problem of finding seats during meals. This work can also be applied to library, study room and other application scenes.