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Spatial AI
Trends
- 1OpenCV to demo spatial AI toolkit for physical AI systems●Computer vision used to stop at “what is this?” Physical AI needs “where is it, how far, what’s changing, and what shoul
OpenCV is hosting a live session on building what it calls a Visual Cortex for physical AI — systems that go beyond recognising objects to judging distance, tracking change and guiding robot actions. The demonstration combines OpenCV software with Intel RealSense depth cameras, NVIDIA Jetson hardware and ROS 2, plus vision-language models. It reflects a wider push to give robots real spatial understanding rather than simple classification.
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Kornia, an open-source Python library for geometric computer vision built for spatial AI applications, is drawing fresh attention from developers. The project, hosted under the Kornia organisation on GitHub, provides tools for tasks like image transformations, calibration and depth estimation, and is gaining traction as interest in spatial AI grows.
- 3Can AI protect sea eagles from wind turbines?●Can # AI protect sea eagles from turbines? Perhaps, but slapping tech on badly chosen sites and weak environmental impac
A writer examines whether AI can help protect sea eagles from being killed by wind turbines. The argument: smart detection technology may help, but it cannot compensate for poorly chosen turbine sites and weak environmental impact assessments. The real problem, the piece argues, is a broken spatial planning process for siting wind farms, and technology alone will not fix it.
Repos
- kornia/kornia 🐍 Geometric Computer Vision Library for Spatial AI