OpenCV powers the computer vision behind your phone's camera, autonomous vehicles, hospital screening systems, and even NASA's Mars helicopter — and most people using it have no idea. Sam sits down with Satya Mallick, CEO of the nonprofit OpenCV.org, to trace its 26-year history and where it's headed next.

Topics covered:

• OpenCV's origins at Intel in 2000 under Dr. Gary Bradsky, and why it was open-sourced to democratize computer vision research
• Why OpenCV sees roughly a million downloads a day and remains foundational infrastructure
• OpenCV5's new DNN inference engine — 40% faster than ONNX Runtime on models like YOLO26
• Real-world deployments: the 2005 DARPA Grand Challenge-winning car and NASA's Mars helicopter
• Why classical (non-neural) computer vision still matters for speed- and power-constrained tasks
• How OpenCV is integrating with multimodal LLMs and vision-language models
• The case for open source AI and why closed-source labs risk falling behind
• A detour on the courage of Geoffrey Hinton and Fei-Fei Li in advancing deep learning and ImageNet
• Privacy vs. convenience in image recognition — and where the industry should draw the line on data governance
• Advice for engineers entering computer vision and agentic AI today

Guest Bio:
Satya Mallick is CEO of OpenCV.org, the nonprofit that maintains the OpenCV library - downloaded roughly a million times daily and used across image and video analysis applications worldwide. He also runs BigVision LLC, a computer vision and AI consulting company he's led for over 12 years.

Connect:
Find Satya on LinkedIn to learn more about his work at OpenCV.org and BigVision.