DRONAKSH
DRONAKSH—where Drone meets Rakshak—is your vigilant guardian in the sky. This AI-powered swarm system redefines public safety through real-time threat detection, swift alerts, and smart aerial protect
视频
技术栈
Python
Java
IoT
HTML
CSS
JS
Drone
Twilio
描述
DRONAKSH is a swarm drone-based surveillance system powered by AI to ensure real-time threat detection in crowded environments.
It can:
Detect weapons, violence, smoke, and abnormal crowd behavior
Provide 360° aerial coverage, eliminating blind spots
Send instant alerts to authorities for faster response
Operate autonomously over large areas using smart coordination
本次黑客松进展
24-Hour Hackathon Progress: Dronaksh
Goal - Build an AI-powered drone system for real-time surveillance – crowd monitoring, fight detection, and smoking detection.
Hardware (0–6 hrs)
- Assembled custom drone (frame, motors, Pixhawk, telemetry, camera).
- Configured autonomous path planning using *Mission Planner*.
AI Integration (6–12 hrs)
- *Crowd Monitoring*: YOLOv8 for real-time crowd detection.
- *Fight Detection*: Action recognition model for violent activity.
- *Smoking Detection*: Custom model to detect smoking behavior.
System Integration (12–18 hrs)
- Live drone video feed connected to AI pipeline.
- Detections mapped with GPS and logged in real-time.
Communication (18–22 hrs)
- Built *WhatsApp chatbot* using Twilio:
- Sends alerts (fight/smoke/crowd).
- Shares drone location.
- Supports admin commands.
Final Testing (22–24 hrs)
- Full demo: Autonomous drone flight + real-time detections + chatbot alerts.
- Simulated scenarios tested successfully.
Deliverables Achieved:
✔ Drone hardware + flight path planning
✔ 3 AI models integrated
✔ Real-time alerts via WhatsApp
融资状态
Bootstrapped Idea