Computer Vision Project – Automated Product Detection and Image Analysis

We are looking to develop a computer vision solution for automated analysis of product and retail images. The system should be able to process images captured in real-world environments, identify relevant products or objects, and organize the extracted visual information into a structured and usable format. Project objectives: Detect and recognize products or selected object categories within images Handle different camera angles, lighting conditions, image quality, and partial occlusion Extract useful visual data such as object location, quantity, category, or condition Support processing of multiple images and larger image datasets Provide results through a simple interface, dashboard, or API Build a foundation that can later be expanded with additional recognition and analytics features We are looking for an end-to-end project implementation, including solution architecture, model development or integration, backend processing, testing, and deployment. The initial phase may include a prototype or proof of concept, followed by further development based on the achieved results. Relevant experience with computer vision, object detection, image processing, and production-ready ML systems would be valuable.