In Industrial applications, the data is used mostly for the detection and control of abnormalities. But, the potential performance is for optimization and prediction. Edge computing allows real-time operations for critical processes such as data analysis, decision making and taking action. It also decreases the costs and manpower requirements in data transmission and operation accuracy. Therefore, in many fields like automation industries, visual inspection is increasingly used by Edge AI computing technology. In-vehicle, smart ADAS driver assistance and incident detection also quite rapidly start to be adopted different autonomous vehicle applications.
