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Learn to build a fully functional defect detection system for manufacturing in this 35-minute tutorial that demonstrates the complete pipeline from camera feed to real-time classification. Follow along as the instructor develops a working prototype that can reliably distinguish between defective and non-defective parts in real time. Explore the entire workflow including camera setup, dataset creation, model training, and implementation of real-time classification capabilities. Gain practical experience with computer vision techniques specifically applied to industrial quality control scenarios. Access the accompanying GitHub repository to follow the code implementation and understand the technical details behind each component of the system. This episode serves as part of a comprehensive series focused on building end-to-end AI vision systems from scratch, providing hands-on experience with real-world manufacturing applications.
