How to Build an Automated License Plate Reading Application

Using Roboflow Workflows, a low-code computer vision application builder, you can create a system to detect and read license plates from images, videos, or livestreams without writing extensive code. By employing models trained on datasets like Microsoft COCO, the system first detects vehicles and isolates each car for further analysis. Subsequently, a license plate detection model is applied to each vehicle, and the cropped license plates are processed using OpenAI's GPT-4 with Vision to extract text. The results, including images of the cars, focused images of the license plates, and the extracted text, are returned in JSON format, allowing for seamless integration into various applications. This guide demonstrates how to customize the Workflow using various pre-built blocks, enabling users to adapt the system for specific needs, such as building a parking management system.