In the smart Internet of Things restaurant system, after the consumer pays for the meal at the slave end, the menu information is uploaded to the host end of the restaurant operator through the Mesh network. At the same time, the host gateway uploads menu and restaurant real-time information to the cloud through the Internet of Things, displays data visualization on a large screen in the cloud, and performs data processing, analysis and prediction, and then sends the analysis results to the host side to make sales suggestions. After the dishes are made, the operator calls the restaurant robot at the host terminal through Mesh networking communication to deliver the meals at the designated table number. The restaurant robot carries out accurate meal delivery based on table number recognition through AI neural network visual recognition. After the meal, the consumer calls through the function of receiving the meal from the machine, and the host computer forwards the call to the restaurant robot for receiving the meal at the designated table, thus completing a complete set of restaurant operation processes. In addition, the consumer can manually call through the slave machine to ensure the service quality of the restaurant. Intelligent IOT restaurant system uses STM32 microcontroller as the main control. The host computer forms the basic framework of the Internet of Things restaurant of the intelligent Internet of Things restaurant system through the Mesh network gateway multi-slave machine and meal delivery system in the restaurant. The host side has a restaurant information platform, a command control platform and a cloud platform. Upload data to the cloud with MQTT messages, calculate cost and profit, formulate marketing strategies and other processing on the cloud platform, and make sales suggestions under the processing results, which greatly facilitates the management of operators. After receiving the instructions from the host computer, the restaurant robot is controlled by MCU and visually recognizes the table number based on AI neural network to deliver the meal accurately. And through the pressure sensor to determine whether to carry the dishes, the use of infrared tracking module and K210 module along the preset meal delivery route to achieve infrared tracking combined with table number identification to deliver the meal. During the meal delivery process, lidar is used to stop and avoid obstacles, avoid unnecessary collisions, and reach the destination table accurately and safely. The restaurant robot has an information platform, which can feed back information to the host in time to facilitate emergency response. After the consumer finishes the meal, the slave terminal calls the host computer through Mesh networking, the host computer forwards the meal receiving instruction to the restaurant robot terminal, and the restaurant robot performs accurate meal delivery after receiving the signal. When the restaurant robot is idle, the food safety of the restaurant is guaranteed by zero disinfection. In addition, consumers can call manual services at the slave terminal to ensure the service quality of the restaurant. The system implementation of the intelligent IOT restaurant is to build a portable consumer and convenient intelligent IOT restaurant system through the cloud IOT method, with local networking as the main and cloud processing as the auxiliary.