Multi agent Collaborative UAV System for Surveillance
The popularity of UAVs have lead to a broad spectrum of applications in human society, from retail to environmental problems high flexible visual data encourages drones to be a preferred product for crowd surveillance and disaster management. In our project we will develop a framework comprising two
2025-06-28 16:34:12 - Adil Khan
Multi agent Collaborative UAV System for Surveillance
Project Area of Specialization Artificial IntelligenceProject SummaryThe popularity of UAVs have lead to a broad spectrum of applications in human society, from retail to environmental problems high flexible visual data encourages drones to be a preferred product for crowd surveillance and disaster management. In our project we will develop a framework comprising two drone such that the drones cover the target area optimally by keeping maximum distance between each other with permissible overlap in field-view.
Project ObjectivesOur objective is to implement a simple reinforcement learning algorithm on the multi-robot or multi-agent system.
Project Implementation MethodIn the first phase we assembled two Quads. We used Pixhawk flight controller and Raspberry pi 3b for processing purpose.
We calibrated our Quads using Mission Planner software.
We set up an environmental set up consisting of 13x9x11 cuboid arena. X, y, z coordinates from cameras placed in arena will be sent to the Quad. The Quad will use these coordinates to alter its position.
Benefits of the ProjectIn the current era UAVs attracted much attention in both civil and military applications. These days Unmanned Aerial Vehicle (UAV) are used in many applications such as home security, crowd surveillance, livestock monitoring, wild fire mapping, disaster management, civil security etc.
Technical Details of Final DeliverableWe will create an environmental setup consisting of 13x9x11 cuboid arena. Three IP cameras will be placed in the arena, which will monitor the x, y, z coordinates of the Quad. These x, y, z coordinates will be sent to Quad in real time. By the help of these coordinates, Quad will alter its position.
We have assembled two Quads using Pixhawk Flight controller and Raspberry pi to send commands to Pixhawk. Both Quads will fly and cover the field autonomously
Final Deliverable of the Project Hardware SystemCore Industry SecurityOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78160 | |||
| Pixhawk (version2.4.8) | Equipment | 2 | 9500 | 19000 |
| ESC (30A) | Miscellaneous | 8 | 1000 | 8000 |
| Frame (480 mm) | Equipment | 2 | 1350 | 2700 |
| Battery & Charger | Equipment | 2 | 8500 | 17000 |
| RC (model FS T-6) | Equipment | 1 | 6500 | 6500 |
| Propeller | Miscellaneous | 12 | 75 | 900 |
| Angle bars and associated equipment | Equipment | 1 | 12060 | 12060 |
| Wifi IP camera | Equipment | 4 | 3000 | 12000 |