An Automatic Electricity Meter Reading System Based on Neural Vision Location

Remote meter automatic reading and smart meter reading is a vital part of smart grid and has been widely concerned. Traditional manual method is manpower consuming. Developing an automatic electricity ether reading system is necessary in practice. Two particular aspects in this task should be concerned. One is different-perspective problem, which causes by the variations of camera position and leads to pool display localization. Another is information diversity problem. Namely, the electrical meter used in this paper needs to recognize effective information from diversity information. This paper describes a novel automatic electricity meter reading system, which can automatically locate and recognise effective information. For the camera perspective variability problem, we utilize a new localization method based on neural network. Via actual meter monitoring experiment, the result shows our system can efficient recognition and achieve 97% accuracy.