In robotics and automation, computer vision enables machines to perceive, navigate, and interact with their environment autonomously.
Moving robots is easy – but moving them dynamically, in response to the perceived world, quickly and in a resource constrained setup is all another matter. From industrial automation to service robots, AI-driven vision systems enhance precision, adaptability, and operational efficiency.
A sample of computer vision applications we developed for the robotics & automation industry:
Advanced Food Grabbing and Manipulation Systems
Path planning optimization for multiple cartesian and antropomorphic spraying robots
Industrial camera calibration at scale via robot movements
Blog posts
Why a Timeline Profiler Finds What a Code Profiler Misses
The right profiler is not the most powerful one in the abstract. It is the one that can see the…
How We Built Metrically Accurate 3D Annotations from a Single Camera
We show how markerless camera calibration can be approached in urban environments and beyond.
AI and 3D Vision on the Renesas RZ/V2H: From Edge Processing to Smart Camera Reality
A complete AI and 3D stereo vision pipeline running on a single embedded SoC to lay the foundation…
Multi-modal foundation models out of the lab: a reality check
In this post we discuss the applicability of multi-modal foundation models (VLM) to solve real…
Onsemi Hyperlux ID AF0130: Industrial iToF Depth Sensor Evaluation
Hands-on evaluation of the Onsemi Hyperlux ID AF0130 iToF sensor. Real-world testing reveals…
Beyond the Frame: What Are Event Cameras and Why Do They Matter?
A deep dive into event cameras: the hardware, software challenges, and real-world applications of…