Computer vision has been in the retail business for decades now, primarily in tracking customer behavior and engagement.
Yet, some of the most challenging aspects remain unsolved, including automated checkouts, personalized shopping experiences, and real-time inventory management. There is still significant potential to enhance loss prevention, refine customer analytics, and drive sales.
A sample of computer vision applications we developed for the retail industry:
Access counting and flow estimation
Queue length and estimated time to be served
People counting with thermal imaging
Recognition of goods at a supermarket for self checkout
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…