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LO-1
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Upon successful completion of this course, students will gain the competence to grasp the building blocks of computer vision such as image formation, color spaces, and basic filtering, apply image processing techniques like edge detection and morphological operations, perform feature extraction and object matching using SIFT and corner detection methods, train deep learning models like convolutional neural networks (CNNs) and YOLO architectures for use in object detection and real-time tracking tasks, and integrate facial recognition, pose estimation, and optical flow algorithms into industrial video analytics projects on autonomous systems or edge devices. |