Episode 15 — Computer Vision — Teaching Machines to See
The ability to process visual information has been a defining achievement for AI. In this episode, we explore how computer vision allows machines to interpret and analyze images and video. We start with early techniques like edge detection and feature extraction, then move into modern convolutional neural networks that revolutionized accuracy in object detection and classification. Segmentation, optical character recognition, and video analysis are introduced as building blocks for systems that perceive complex visual environments.
Applications show just how pervasive computer vision has become. From healthcare imaging that detects tumors, to autonomous vehicles that interpret roads and obstacles, to retail systems that track shelves and customers, vision technologies are transforming industries. We also cover challenges such as adversarial examples, bias in facial recognition, and the need for explainability in safety-critical systems. By the end, listeners will recognize computer vision not as an abstract concept but as a powerful, practical domain shaping everyday life. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
