This project presents a smart and efficient License Plate Recognition (LPR) system integrated with an automatic gate control mechanism using Raspberry Pi. The system is designed to enhance security and automate access control at entry points such as residential complexes, offices, and parking lots. A USB camera captures the vehicle's license plate image as it approaches the gate. The captured image is processed using OpenCV for license plate detection, and the characters are recognized using Optical Character Recognition (OCR) via the Tesseract engine. The extracted license number is then compared with a predefined list of authorized vehicles. If a match is found, a servo motor controlled by the Raspberry Pi automatically opens the gate, allowing access. After a short delay, the gate closes automatically. This system eliminates the need for manual verification, reduces human intervention, and increases the speed and reliability of vehicle access. The project showcases the integration of computer vision, embedded systems, and automation to provide a cost-effective and scalable solution for smart gate control.