Intelligent Traffic Surveillance: License Plate Recognition Flow

Intelligent Traffic Surveillance: License Plate Recognition Flow

1. Camera Captures Video Signal
A surveillance camera continuously monitors the road.

It sends a video signal that includes passing vehicles.

2. Digital Image Stream
The video feed is converted into a digital image stream for processing.

This step ensures the system works with individual image frames.

3. License Plate Location

From the image, the system detects the region containing the license plate.

Techniques like edge detection, color analysis, or machine learning are used.

4. Character Segmentation

Once the plate is isolated, each individual character (number/letter) is separated.

This step prepares the characters for accurate recognition.

5. Optical Character Recognition (OCR)

The segmented characters are processed by OCR.

OCR converts images text into machine-readable characters (e.g., 51F7812).

6. Image Compression & Information Packaging

The processed data is compressed and organized into a result package.

• Includes metadata like:

• License plate number

• Plate color

• Timestamp

• Location info

• Snapshot or image

7. Final Result Output

The system generates a final output that can be stored or sent to authorities.

Data is used for:

Toll collection

Traffic violation tracking

Access Control

Vehicle analytics

✅ Key Functions of the System:

Automation: No human intervention needed to read plates.

Real-time Processing: Works instantly as vehicle pass.

Data Logging: Stores valuable traffic data for law enforcement or analytics.

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Source: LinkedIn

Credits: Mr. Sujith CM