An experimental examination intelligent scoring system based on AI vision comprises a student terminal (1), a teacher terminal (2) and a server terminal (3), and the server terminal (3) comprises an algorithm module (4) and a database (5); during specific application, the system further comprises a first user and a second user, the first user is a student, and the second user is a teacher; whereinthe algorithm module (4) runs on the server side (3), the database (5) is stored in the server side (3) for the algorithm module (4) to call, and the server side (3) comprises a cloud server; etc. The system can be applied to teaching and examination scenes of physico-chemical student experiments in middle schools, and solves the problems that students receive different information in the teaching scenes, teachers are low in correction efficiency in the examination scenes, and scoring standards are different. In addition, the actions of the students can be detected through an algorithm when the students practice experiment operation autonomously, effective guidance and timely feedback are provided, and the self-learning effect is improved.
Experimental examination intelligent scoring system based on AI vision