Duration
Ongoing
Status
In Development
Team
Individual
Type
AI/ML
Project Overview
Developing an AI-powered drone vision system that processes real-time camera feeds for object detection and tracking.
Detailed Description
This advanced drone vision system enables autonomous aerial surveillance and monitoring. It processes live video feeds to detect and track objects in real-time with high accuracy and efficiency.
Key achievements: - Integrated YOLO v5 for real-time object detection - Achieved 60 FPS processing on edge devices - Implemented Vision-Language Models for scene understanding - Supports multiple UAV platforms
Applications include environmental monitoring, security surveillance, and autonomous navigation in challenging environments.
Challenge
Optimizing model performance for real-time processing on resource-constrained drone hardware.
Solution
Implemented model quantization and pruning techniques for efficient edge deployment.
Technologies & Skills
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