Portfolio/ParkNet Face Recognition
Computer VisionComputer Vision

ParkNet Face Recognition

ParkNet is an AI-driven framework utilizing YOLO for face detection, SORT for object tracking, and Face Recognition for identifying known individuals. Provides real-time face recognition and tracking through webcam or CCTV feeds, with dynamic face tracking and automatic image capture for recognition purposes.

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Project Duration

Nov 2024 — Nov 2024

Client

Smart City ClientNDA

Key Features

Real-time face detection
Multi-face tracking
Known person identification
Dynamic ID assignment
Webcam integration
Face image storage

Technology Stack

PythonYOLOSORTFace RecognitionOpenCVdlib

Project Metrics

98%
accuracy
50+/frame
faces
30+
fps

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