AUTOMATIC GATE CONTROL SYSTEM BASED ON VEHICLE NUMBER PLATE

An automatic gate control system based on vehicle number plate recognition using deep learning is a system designed to improve the security and efficiency of vehicle access to controlled areas, such as parking lots, gated communities, or restricted-access facilities. The system uses a camera to capture an image of the vehicle’s number plate, and then applies deep learning algorithms to recognize the characters on the plate and verify them against a pre-existing database of authorized vehicles. the input system, the image processing system. The input system is responsible for capturing the image of the number plate using a camera. The image processing system uses deep learning algorithms to recognize the characters on the plate, and then matches them against a database of authorized vehicle. If the plate is recognized as authorized, the output data send to serially to microcontroller, then Gate unit activates the gate to allow the vehicle access. . The deep learning algorithms used in the image processing system are trained using a large dataset of number of images to recognize different variations in number plate designs and characters.