From a camera frame to a readable vehicle record.

A vision workflow for vehicle detection, licence-plate reading, streaming integration, and reporting.

Explore the project

BUILT FOR

Teams integrating vehicle recognition into camera-based workflows

Illustrated overview of Vehicle & Plate Recognition

THE IDEA BEHIND THE BUILD

Start with a real problem.

01 / THE CHALLENGE

What needed to work better?

A video stream contains visual information that is difficult to search directly. Useful vehicle records require detection and text extraction before reporting.

02 / THE SOLUTION

A connected way forward.

The project combines YOLO-based detection, OpenCV processing, and OCR to extract vehicle and plate information. A FastAPI interface supports integration with the surrounding application.

WHY IT MATTERS

Designed to make the work easier.

Structured information from visual input
Vehicle detection connected with OCR
Integration points for alerts and reporting

WHAT THE PRODUCT DOES

The useful parts, explained.

Core capabilities that turn the idea into a practical product.

Vehicle detection

Locate relevant vehicles in the visual input.

Plate text extraction

Apply OCR to the licence-plate information.

Streaming integration

Connect recognition with the incoming video workflow.

Alerts and reports

Expose the extracted results to downstream processes.

HOW IT COMES TOGETHER

Follow the workflow.

Select a step to see how the project moves from input to outcome.

STEP 01 / THE WORKFLOW

Read input

Receive frames from the connected source.

Illustrative workflow overview

BUILT WITH

The technology behind the work.

The stack behind this project and its connected workflow.

YOLOOpenCVOCRFastAPI

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From a camera frame to a readable vehicle record.