Drone-Based Tactical Vehicle Classification & Border Surveillance System
A lightweight aerial surveillance system that classifies armed and civilian vehicles in real time using onboard edge AI processing.
- Computer vision
- EdgeAI
- Defense Tech
- Drone Analytics
- Deep Learning
- Embedded Systems
- YOLOv8
- Hailo SDK
- Hailo8L
- CSI Camera
- python
- Embedded AI
- Edge Computing
- Drone Vision Systems
Project Overview
This system is designed for autonomous aerial monitoring and tactical vehicle classification in border and surveillance environments. Mounted on a drone with an onboard CSI camera and Hailo8L accelerator, the platform processes live aerial feeds in real time to identify and distinguish armed vehicles from civilian vehicles with low-latency inference.
The solution combines lightweight edge AI deployment with optimized detection pipelines for field-ready performance. Video feeds are processed directly on the onboard hardware, enabling fast decision-making and live monitoring through connected goggles without dependency on cloud infrastructure.
Key Capabilities
- Real-time aerial vehicle classification
- Onboard edge inference using Hailo hardware
- Drone-integrated live surveillance pipeline
- Low-latency tactical monitoring system
- Optimized YOLOv8 deployment for embedded devices