OPEN CV DASHBOARD
OCT 2025
A three-in-one computer vision dashboard combining face detection, animal herd detection, and universal object detection with counting in a unified interface.
OVERVIEW
A multi-mode computer vision application that consolidates three detection capabilities — face detection, animal herd detection, and universal object detection with counting — into a single interactive dashboard.
THE IDEA
Build a practical computer vision interface that demonstrates multiple detection modes in a single, unified application rather than three separate isolated tools.
WORKFLOW
KEY FEATURES
- 3-in-1 unified computer vision platform
- YOLOv8 universal object detection with live item counting
- Animal herd tracking and live monitoring module
- Dlib facial analysis and landmark detection
- Unified mode-switching dashboard interface
ENGINEERING APPROACH
Each detection module operates as an independent processing pipeline within the Flask backend. YOLOv8 handles high-throughput object detection and counting, Dlib performs facial landmark analysis, and OpenCV provides frame capture and geometric preprocessing.