Defect-Vision is an AI-powered image analysis tool designed to automatically detect and classify defects in industrial products. By utilizing deep learning techniques and anomaly detection algorithms, the system helps ensure quality control by identifying imperfections such as cracks, scratches, or missing components. Key features include real-time image processing, anomaly scoring, and a user-friendly interface for reviewing inspection results. The project aims to improve manufacturing efficiency, reduce manual inspection efforts, and enhance product reliability.
DataCrunch
