Real-time UVA Antidron Detection with Drone Type Recognition
Budget: €10,000 – €20,000 EUR
Real-time UVA Antidron Detection with Drone Type Recognition
Description:
Develop software for real-time detection and recognition of drones using UVA (Unmanned Aerial Vehicle) technology. The software should be able to identify drones and differentiate them from other objects such as birds.
Software Features:
Detection of drones and differentiation from birds and other objects.
Real-time visualization using UI as a radar with 360° detection capability.
Displaying detected drones as rectangles with descriptions of the drone type or "undefined".
Ability to zoom in on a specific drone and subsequently track it.
Option to set a perimeter for triggering alarms.
Activation of alarms in case a drone is detected within the perimeter.
Monitoring the flight of drones and issuing warnings.
Hardware Specifications:
Computational unit: Nvidia Jetson Nano.
Input from PTZ camera with a resolution of 4MP and an infrared module.
Option for measuring the distance to the drone using a laser.
Acceptance Criteria:
The software should be capable of detecting drones with a minimum size of 30 cm.
The system should be able to simultaneously detect and display multiple drones.
Recognition of drone types from a drone database.
The UI will display a radar view and allow user interaction.
Clicking on a drone will switch the system to tracking mode and zoom in on that drone.
Alarm triggering should be reliable and effective.
Documentation should include installation instructions, user manual, and technical documentation.
Source code should be well-commented and structured.
No use of the YOLO framework.
Experience and references required
Description:
Develop software for real-time detection and recognition of drones using UVA (Unmanned Aerial Vehicle) technology. The software should be able to identify drones and differentiate them from other objects such as birds.
Software Features:
Detection of drones and differentiation from birds and other objects.
Real-time visualization using UI as a radar with 360° detection capability.
Displaying detected drones as rectangles with descriptions of the drone type or "undefined".
Ability to zoom in on a specific drone and subsequently track it.
Option to set a perimeter for triggering alarms.
Activation of alarms in case a drone is detected within the perimeter.
Monitoring the flight of drones and issuing warnings.
Hardware Specifications:
Computational unit: Nvidia Jetson Nano.
Input from PTZ camera with a resolution of 4MP and an infrared module.
Option for measuring the distance to the drone using a laser.
Acceptance Criteria:
The software should be capable of detecting drones with a minimum size of 30 cm.
The system should be able to simultaneously detect and display multiple drones.
Recognition of drone types from a drone database.
The UI will display a radar view and allow user interaction.
Clicking on a drone will switch the system to tracking mode and zoom in on that drone.
Alarm triggering should be reliable and effective.
Documentation should include installation instructions, user manual, and technical documentation.
Source code should be well-commented and structured.
No use of the YOLO framework.
Experience and references required