YOLO Image Recognition

What it does

A real-time object-detection desktop application built in C# 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, and it ships with both full YOLO and Tiny YOLO weights so it runs on modest hardware.

How it works

1. Step 1. A single neural network looks at the whole frame once and predicts all bounding boxes simultaneously — that's what makes YOLO fast.
2. Step 2. Each box gets a class label (person, car, dog…) and a confidence score.
3. Step 3. Low-confidence and overlapping boxes are filtered out with non-max suppression.
4. 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

Tech stack

• C#
• .NET WinForms
• Emgu.CV
• YOLO / Tiny YOLO

Build something like this

This project is part of our computer vision development and a fixed-price computer vision pilot. Tell us your use case and we will reply within one business day with a first step, a price and a date.