AI-BASED INDUSTRIAL DEFECT DETECTION USING COMPUTER VISION

Abstract

Industrial manufacturing industries continuously strive to improve product quality while reducing production costs and inspection time. Manual quality inspection is often time-consuming, labor-intensive, and susceptible to human errors, especially in high-speed production environments. As production volumes increase, maintaining consistent quality becomes a significant challenge. Therefore, intelligent automated inspection systems have become an essential part of modern manufacturing processes. The proposed AI-Based Industrial Defect Detection Using Computer Vision system is designed to automatically identify defects in manufactured products using image processing and artificial intelligence techniques. The system captures product images through industrial cameras and analyzes them using computer vision models to detect visible defects such as scratches, cracks, dents, missing components, discoloration, and surface imperfections. The system uses deep learning models trained on labeled images of defective and non-defective products. During inspection, captured images undergo preprocessing, feature extraction, and defect classification. The AI model identifies defect regions, classifies the defect type, and determines whether the product passes or fails quality inspection. This enables fast and consistent inspection without interrupting the production process. A centralized dashboard displays inspection results, defect counts, defect categories, production statistics, pass/fail rates, confidence scores, and quality trends. Historical inspection records are stored for quality analysis and production monitoring. Alerts can also notify quality-control personnel when defect rates exceed predefined thresholds. The primary objective of the proposed system is to improve manufacturing quality control through automated visual inspection. By combining computer vision, deep learning, real-time image analysis, defect classification, analytics, and reporting, the system provides a reliable and scalable quality inspection solution for modern industries.