29 International Journal of Research in Computer Applications And Robotics, x(x): xx-xx INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS www.ijrcar.in Vol.2 Issue.3, Pg.: 29-41 March 2014 S.Sownthar et al Page 29 INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 VISUAL MONITORING AND ALERTING SYSTEM FOR ARC TYPE METERS S.Sownthar 1 , C.S.Manikandababu 2 1 PG Scholar, Sri Ramakrishna Engineering College-Coimbatore. psownthar@gmail.com 2 Asst. Professor (Sr.Gr), Sri Ramakrishna Engineering College-Coimbatore. srecmanikandababu@gmail.com Abstract In the fast industrial growth, it is necessary to avoid unexpected interruption of electrical machines. In this paper, Visual Monitoring and Alerting System have been developed to monitor the electrical parameters such as voltage, current and temperature. The new Algorithm is used to identify the angle of the pointer’s image obtained from the ARC type meters. The obtained angle value is compared with the specified limit. If the angle exceeds the limit then the alarm will be turn on to alert people. The proposed system can be operated in all environmental condition because it utilizes non-invasive technique. Keywords: Visual Monitoring and Alerting System (VMAS), Angular Detection Algorithm (ADA), Region of Interest (ROI). 1. Introduction In industries, it has become necessary to incessant monitor the stipulation of the electrical machines and systems to avoid any unscheduled breakdown during the production process. To protect plants, switchgear systems, and alternators, the non-invasive sensors and controllers plays important roles at the time of integrated faults or catastrophe. In recent years, more attention has been focused on the monitoring of various parameters such as voltage, current, and temperature of electrical systems from control room using remote sensing methods. As the electrical machines are critical components in industrial processes the machine failure may yield an unexpected interruption in the production process, with consequences in costs, product quality, and safety. The measuring instruments such as voltmeters, ammeters, and temperature gauges must be watched continuously and constantly to avoid any devastation in the process. In most of the industrial process, analog type meters and gauges are still being used because human inspectors are very prone to visualize deflection more easily than to recognize a digital display. Hence, to replace the human inspector for supervision and monitoring of electrical parameters, a visual monitoring system (VMS) having knowledge based artificial intelligence is essential. A novel architecture of Angular Detection Algorithm has been developed to identify the geometrical and statistical. features of the pointer’s image position from the captured image of indicating type meters.