Computer vision was originally developed with manufacturing in mind and remains a critical field for its advancement.
While modern systems can be designed to optimize computer vision algorithms by leveraging light, shadows, and the best optical setups, speed and rapid adaptation remain key challenges. These demands often require custom solutions to ensure efficiency and accuracy in fast-paced industrial environments.
A sample of computer vision applications we developed for the manufacturing industry:
Quality inspection in the tobacco industry
Low quality material detection in plastic processing
Text verification on lucid and reflective material
Defect detection in plastic plates and cups
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…