Cattle Detection (Surat Municipal Corporation)
Real-time cattle detection to prevent road accidents and track missing livestock
Project Overview
This project was initiated through a collaboration between the Surat Municipal Corporation (SMC) and SVNIT's research laboratory. Our team developed an innovative solution for real-time cattle detection using computer vision and deep learning technologies, addressing a significant urban management challenge.
Project
Working Demo
Code base
Project Background
The Urban Challenge
Indian cities face unique challenges with stray cattle, including:
Traffic Safety Issues
Increased accident risks during peak hours
Unexpected road blockages
Night-time visibility concerns
Public Health Concerns
Sanitation issues in urban areas
Disease transmission risks
Food safety concerns near markets
Resource Management Challenges
Manual monitoring inefficiencies
Delayed response times
Strain on municipal resources
Project Objectives
Primary Goals
Develop an automated cattle detection system
Enable real-time monitoring through existing infrastructure
Create a scalable and maintainable solution
Technical Objectives
Achieve >90% detection accuracy
Process video feeds in real-time (25+ FPS)
Track timestamps of the detected
Minimize false positives
Create an intuitive user interface