Core demands
1. At present, the means of safety production management in the factory is relatively simple, mainly through routine inspection, education and training and regular evaluation. Due to the constraints of time and human resources, the work efficiency and refined management level of safety production management need to be improved, and safety production accidents caused by slack or negligence of personnel often occur.
2. Currently, the Internet of Things and AI technologies used in safe production are limited, and the degree of intelligence is low, so the main risk points of production are not fully covered. In addition, the production data that can be collected is limited, and intelligent applications such as data analysis, monitoring and early warning have not yet been carried out, which can not meet the needs of enterprises and governments for production safety supervision. Therefore, Tongding Internet Group urgently needs to use intelligent AI assisted precision supervision technology to provide prediction and early warning for the "unsafe state of things and unsafe behavior of people" of the factory and prevent the occurrence of safety production accidents.
Solution
Highlight 1: Through the use of Baidu's advanced in-depth learning and artificial intelligence technology, the safety supervision system inside the factory can complete real-time intelligent analysis through the pictures transmitted by the webcam. Once the hidden dangers and dangerous behaviors of people and objects in the video pictures are found, they will alarm in real time, thus avoiding or reducing the occurrence of safety accidents.
Highlight 2: All analysis behaviors occur independently after machine learning, without manual intervention. It can improve business processing efficiency and reduce labor costs.
Monitoring process and effect diagram inside the factory:
