Roadway gate automatic control system with the use of fuzzy inference and computer vision technologies

Roadway gate automatic control system with the use of fuzzy inference and computer vision intellectual technologies is proposed. The paper is dedicated to operating quality amelioration of transport access monitoring and control system based on recognition technology of transport number plates. The factors influencing recognition reliability and operating quality of the system as a whole are determined. The schematic structure of intellectual control system and the algorithms fusion of computer vision and fuzzy logic systems are provided. The optimal criterion, based on a training set, necessary for fuzzy system values adjusting is introduced. The practice-oriented examples of real weather conditions aggravating the image quality and decreasing the numbers recognition level are given, and the reactions of the proposed intellectual control system are presented.