Videos / Page 6
Videos from Skillion AI Labs on practical AI, workflow design, and venture building.
Videos
A guide to CPUs, GPUs, TPUs, NPUs, and VPUs, explaining how specialised processors divide work across general computing, graphics, machine learning, and vision tasks.
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A look at modern camera and edge-processing technology through the Hawkeye AI Bicycle Vision System, including multiple cameras and on-device vehicle classification.
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An explanation of thermal imaging, how it detects heat rather than visible light, and its potential use in safety systems, Hawkeye, and autonomous driving.
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A beginner-friendly explanation of neural networks, how layers learn patterns from data, and why this approach underpins many AI and deep-learning systems.
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An exploration of how LiDAR depth measurements could complement Hawkeye’s cameras and AI to improve awareness in safety-critical cycling scenarios.
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An explanation of infrared illuminators, how they provide invisible light for compatible cameras, and their role in night vision, surveillance, and security.
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A practical introduction to radar, how radio waves detect objects and distance, and how radar can support safety applications in cars and bicycles.
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An introduction to time-of-flight sensors and how measuring reflected light adds depth information to AI vision systems that would otherwise see only two dimensions.
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A discussion of longer-term AI vision trends, including image quality, sensor patterns, human viewing needs, and how machine interpretation may change camera design.
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A business and technology breakdown of Netradyne, examining how AI vision features helped a dashcam company reach a reported $1.36 billion valuation.
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