AUTOMATIC GATE CONTROL SYSTEM BASED ON VEHICLE LICENSE PLATE RECOGNITION USING OPENCV

Gate entry and exit system for high rise residential societies like golf city, central park, golf estate, the grand arch and thousands of them across the metropolitan cities in the country face an issue of manual gate control security system where verification is required manually by the guards. The corporate offices mandate their employees to go through a security scan at the parking gate. The employees need to show their ID card for entering the premises every day. This leads to congestion and delay in time at the gate of the building. Nowadays there has been a problem during rush hours especially in the mornings, evenings and in public holidays of movement of vehicles passing the through the entry and exit points due to the time consumed on RFID manual scanning for each vehicle.In this paper we have conducted a survey of most authentic techniques of license plate detection of a vehicle and an automatic gate control system that will increase convenience and security at entrance of all the important places that require protection and Security. Here the gate will work automatically without the need of human beings and also the system will be able to recognize license plates from vehicles at the entrance gate and decide whether to let vehicles inside or not. 1.2 Problem Statement The manual gate monitoring system at residential societies and corporate offices has been a cause of congestion of vehicles at the entry point due to the time consumed during scanning and checking. The security guard has to verify using ID card/registration no of every person passing the security. This system is time consuming and is prone to human errors.Every vehicle needs to halt at the gate and wait for completion of verification by the security guards. Manual facial recognition does not work when security guards are newly recruited often. This leads to time wastage of people. Criminals can use fake ID and fool the security guards easily without getting detected. Dishonesty among the gua