Smart Vehicle management.

Description:

A Vehicle Management System that analyze and record the vehicles using ANPR (Automatic number plate recognition) and security using Face-recognition

Microservice:

Backend folder:

• User management and authentication:

├───auth
│   ├───api
│   │   ├───controllers
│   │   ├───models
│   │   ├───routes
│   │   └───services
│   ├───base
│   ├───core
│   ├───db
│   ├───utils
│   └───views
│       └───templates

• Real-time license plate detection/recognition and face-recognition:

├───check-vehicle-real-time
│   ├───services
│   └───utils

• Face recognition using FaceNet, MTCNN and HNSWlib

├───face-recognition
│   ├───api
│   │   ├───ai_model
│   │   ├───controllers
│   │   ├───models
│   │   ├───routes
│   │   ├───services
│   │   └───tasks
│   ├───base
│   ├───core
│   ├───data_file
│   ├───db
│   ├───utils
│   └───views
│       └───templates

• Vehicle manager

├───license-plate-app
│   ├───api
│   │   ├───controllers
│   │   ├───models
│   │   ├───routes
│   │   ├───schemas
│   │   ├───services
│   │   └───tasks
│   ├───base
│   ├───core
│   ├───db
│   └───utils

• License plate detection and recognition using YOLO:

└───yolo-license-plate
    ├───base
    ├───ONNXModel
    │   ├───baseONNX
    │   ├───func
    │   └───utils
    ├───onnx_folder
    │   ├───DetectV5
    │   ├───DetectV7
    │   ├───RecognizeV5
    │   └───RecognizeV7
    ├───pt_folder
    │   ├───yolov5s
    │   └───yolov7_tiny
    └───yolo_function
        ├───baseProcessing
        ├───baseYOLO
        ├───yoloV5
        └───yoloV7

Requirement:

Python version >= 3.9 Node module >= v18.16.0

Demo:

1. Swagger: Demo Video Link

2. Realtime License Plate Recognition: Demo Video Link

Technologies:

• Microservice: NGINX, FastAPI, Mongodb, YOLO, Docker, MTCNN, FaceNet, HNSWlib.
• Front-end: React.js (Using TypeScript)
• Realtime Stream: WebSocket, Multi-thread.