person 0.98🧍
car 0.91🚗
dog 0.88🐕
Live object detection — bounding boxes and labels drawn frame-by-frame.
What it does
A real-time object-detection system built on the YOLO (You Only Look Once) architecture. It locates multiple objects in a single pass and draws labelled bounding boxes with confidence scores — fast enough for live video.
How it works
- Step 1. A single neural network looks at the whole frame once and predicts all bounding boxes simultaneously — that's what makes YOLO fast.
- Step 2. Each box gets a class label (person, car, dog…) and a confidence score.
- Step 3. Low-confidence and overlapping boxes are filtered out with non-max suppression.
- Step 4. The result is rendered back onto the frame in real time.
Where it's used
- Retail foot-traffic analytics
- Inventory and shelf monitoring
- Traffic and vehicle counting
- Smart-camera automation
Want something like YOLO Image Recognition?
Tell us your use case — we'll scope a build that fits.