Edge computing implementation of safety monitoring system in frame of IIoT

Intelligent automation of manufacturing processes is one of the topics of the fourth industrial revolution - Industry 4.0. Edge Computing, Cloud Computing and inference of machine learning algorithms on equipments in the frame of Industrial Internet of Things is therefore of high interest. In this paper the implementation of a machine learning algorithm in the form of neural network is used for detection of wearing protective equipment in production environment. Furthermore, the edge computing technology is used for deployment of the proposed application on the edge device using video data from the Closed-Circuit Television system. The Edge device is communicating with the Cloud, where streaming platforms are running, taking necessary safety precautions to prevent accidents at work and also record these situations for reporting purposes.