Full Stack · Engineering ProjectJune 1, 2024 — July 1, 2024
Face Track
Real-time face detection and tracking web app using TensorFlow and OpenCV APIs.
Domain
Full Stack · Web Dev
Architecture
Full-Stack System
Core Runtime
TensorFlow · OpenCV
Status
Production Ready
Full Stack
6 TechnologiesVerified Build
RUNTIME INTERFACE STUDIO
System Interface & Feature Workflows
High-resolution captures of core production runtime views and algorithmic tools.
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WORKFLOW 01Face Track Page
Web interface for real-time webcam-based face detection and tracking powered by TensorFlow and OpenCV APIs.
Architecture & Overview
Developed a web-based face tracking app using TensorFlow and OpenCV APIs for real-time face detection through webcam input.
Integrated Flask as a lightweight backend to serve video frames and process detection results in real-time.
Designed a clean and responsive web UI to visualize bounding boxes and detected faces directly in the browser.
Technical Highlights & Outcomes
Used TensorFlow for face recognition and OpenCV for video frame processing.
Built Flask-based backend to stream real-time video detection.
Interactive web interface to view live bounding boxes.
Lightweight deployment suitable for browser access.
Full Technology & Tooling Stack (6)
TensorFlowOpenCVPythonFlaskHTMLJavaScript