# shaiknawazshareef/license-plate-detection-using-opencv-and-cnn architecture

> Architecture diagram of the GitHub repository shaiknawazshareef/license-plate-detection-using-opencv-and-cnn, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-11). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn
- Repository: https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn

## Overview

This is a small Colab-based license-plate detection script. The workflow accepts an uploaded image, reads it with OpenCV, detects a likely rectangular plate by filtering, edge detection and contour checks, then displays the annotated image and any extracted crop. The README also describes character segmentation and CNN classification, but the sole source file does not implement them; they are omitted from the runtime graph. The graph reflects the shown script and documented upload workflow.

Main entry points: [`license_plate_detection.py`](https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py) (Image workflow)

## Diagram (Mermaid)

```mermaid
flowchart TD

node_user(("Image uploader"))
node_workflow["Image workflow"]
node_colab_upload["Colab upload"]
node_plate_detection["Plate detection"]
node_image_display["Image display"]

node_user -->|"uploads image"| node_workflow
node_workflow -->|"requests upload"| node_colab_upload
node_colab_upload -->|"returns file"| node_workflow
node_workflow -->|"detects plate"| node_plate_detection
node_plate_detection -->|"returns crop"| node_workflow
node_workflow -->|"displays images"| node_image_display

click node_workflow "https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py"
click node_plate_detection "https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py"
click node_image_display "https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_user,node_colab_upload toneIndigo
class node_workflow,node_plate_detection,node_image_display toneTeal
```

## Components

### Other components

- **Image uploader**
- [Image workflow](https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py): `license_plate_detection.py`
- **Colab upload**
- [Plate detection](https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py): `license_plate_detection.py`
- [Image display](https://github.com/shaiknawazshareef/license-plate-detection-using-opencv-and-cnn/blob/main/license_plate_detection.py): `license_plate_detection.py`

## Connections

- Image uploader → Image workflow: uploads image (evidence: `README.md`)
- Image workflow → Colab upload: requests upload (evidence: `license_plate_detection.py`)
- Colab upload → Image workflow: returns file (evidence: `license_plate_detection.py`)
- Image workflow → Plate detection: detects plate (evidence: `license_plate_detection.py`)
- Plate detection → Image workflow: returns crop (evidence: `license_plate_detection.py`)
- Image workflow → Image display: displays images (evidence: `license_plate_detection.py`)
