Design and Implementation of a High-precision Campus Intelligent Blackboard Inspection System Based on AI

Abstract

Abstract At present, traditional campus smart blackboard detection generally uses manual detection as the main method and equipment detection as the auxiliary method to determine the fault information encountered, and it is still limited to relying on the experience of the campus smart blackboard management and maintenance personnel to judge the fault. Solve the problem. In this paper, aiming at the problems of low efficiency of traditional campus blackboard detection technology, high manual detection cost, and low classroom enthusiasm due to untimely detection, this paper proposes a campus intelligent blackboard monitoring system based on AI technology, and establishes a chain-type intelligent classroom education system. Smart classroom does not affect the development of social education level because of some disadvantages brought about by technological development.