WORKER SAFETY ACCIDENT PREVENTION PREDICTION SYSTEM AND METHOD

摘要

The present invention prevents industrial accidents by considering the current status of workers as well as simple access control, and after photographing an image for facial recognition, transmits it to the central server 2 and applies a facial recognition algorithm using big data and artificial intelligence to determine whether the worker is authenticated and the worker is allowed to enter, and whether to allow the checked worker to enter or not, and the central server (2) transmits the heart rate, biorhythm, and movement from the user terminal (4) worn by the worker. An access control system that reflects the condition of workers to prevent industrial accidents in advance by detecting abnormal conditions (for example, physical health, stress, etc.) of workers in advance by using statistics on the current status, etc. and a method, and more specifically, an access control device (1) including an opening/closing means (11), an audio output unit (12), a biorhythm sensor (14), a communication means (15), and a display (16) ; central server (2); thermal imaging camera (3); user terminal (4); manager terminal (5); and a database (6); wherein the central server (2) determines whether the worker enters and exits the worker based on the worker's biorhythmic stress index, the current physical condition, and whether the worker is authenticated, thereby controlling the opening/closing control signal of the opening/closing means (11). And it relates to a worker safety accident prevention prediction system and method, characterized in that the display control signal is transmitted to the access controller (1), and the determination result is transmitted to the manager terminal (5).