Engraved Character Recognition Using Computer Vision To Recognize Engine Number With Environmental Condition Setup

Optical Character Recognition (OCR) systems have been developed successfully to recognize printed characters. Serial number logging by hand is a time-consuming and tedious task in many industries. The distinct engine and chassis numbers that are inscribed on machinery-like vehicles are an example of such an application. The study explains how engine and chassis numbers inscribed on two and four-wheeled vehicles can be read using computer vision and optical character recognition. The proposed system is reliable in dimly lit areas, and the environmental parameters are adjusted to optimize output efficiency, especially in poorly illuminated surroundings. Over twenty-eight photos of automobile engines, with various levels of ambient lighting are used to test the system. The engine number was kept in focus as these pictures were being taken, and a grid attached to the camera's experimental configuration was used to maintain a steady angle of view and distance from the vehicle. Pre-processing of these photos was done using various common image processing algorithms. The proposed OCR system is then fed to the enhanced resulting images. The system is effective overall and is used in real-time applications.