The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
Dec 17, 2019
Bryton Shang, Founder and CEO of Aquabyte, is pioneering the integration of computer vision in fish farming. He discusses the challenges of measuring fish health underwater and how AI can revolutionize operations. Fascinating insights include the development of fish facial recognition for health tracking and innovative camera tech to tackle sea lice issues. Bryton shares his journey from academia to entrepreneurship, emphasizing the need for sustainable and efficient aquaculture practices to help feed the world.
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Bathtub Prototype
- Bryton Shang started Aquabyte with a simple prototype in his bathtub.
- He used robotic fish from Amazon to test his computer vision system.
Fish Density Regulations
- Norwegian fish farms have low fish density (2.5% of pen volume).
- This is less chaotic than Asian fish farms, where fish density is much higher.
Deep Learning for Fish Perception
- Aquabyte uses deep learning for fish perception, not just deterministic methods.
- Convolutional neural nets detect key points on fish to estimate weight and assess health.