The goal of computer vision in entertainment, sports and education is primarily to enhance engagement.
By combining AI with real-time visual processing, a limitless range of applications is possible and is already being developed. While many use cases focus on AR and VR experiences, offline analysis can offer even greater value, particularly for individuals looking to improve their sports skills, including amateurs.
A sample of computer vision applications we developed for the entertainment, sport and education industry:
Intelligent Light Mapping
Real time picture sorting of large scale events through bib reading
Volleyball sport analytics through action recognition and player identification
Interactive installation where children used their body to control projected natural patterns
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…