The ChallengeA large construction equipment company needed an advanced computer vision solution to identify and track heavy equipment loaded onto moving trucks. The goal was to create a system that could operate reliably across diverse settings and environmental conditions, ensuring accuracy…
Scaling Video Processing for Foot Traffic Monitoring in Rwanda
The Challenge A non-profit organization aimed to assess the impact of newly constructed bridges in rural Rwanda by monitoring pedestrian traffic. They implemented a system using low-cost, motion-activated digital cameras combined with open-source computer vision algorithms to count bridge crossings. However,…