How I used Ultralytics YOLO26 to automate video analytics

utm_term=augmentedai Here's what makes this different from typical CV projects: → Runs on edge devices (Raspberry Pi, Jetson Nano) → No cloud costs eat your margins → 43% faster inference on CPU vs previous versions → Perfect for private data scenarios The dashboard tracks people's movement, dwell time, and generates heat maps. All processing happens locally. Real business value I've deployed: → Mining operations detecting conveyor belt cracks before failure → Legal firms validating documents without external servers → Logistics hubs scaling 10x volume without new hires Ultralytics YOLO26 beats all prior models (11, v10, v9) on accuracy and latency. Available in multiple sizes from nano to extra large. Pick based on your hardware constraints. I've made the full dashboard available on GitHub with both frontend and backend. Includes setup for Apple Silicon, NVIDIA, and CPU deployment. 🟣 Get the link to the GitHub Repo here - github.com/augmentedstartups/RetailAutomation Follow @Ritesh Kanjee and @Augmented AI for automation that ships results. #computervision #yolo #edgeai #automation #objectdetection #ai #manufacturing