Maladrone is a cutting-edge solution that leverages drone-mounted cameras and advanced computer vision to detect mosquito breeding sites. It plays a crucial role in targeted mosquito control efforts, ultimately reducing the spread of mosquito-borne diseases. Key features include real-time detection and geo-referencing of breeding sites.
- Real-time Detection: Maladrone provides instantaneous identification of mosquito breeding hotspots.
- Geo-Referencing: Precise coordinates of breeding sites are captured and transmitted in real-time.
- Automated Alerts: Stakeholders receive automated alerts and notifications for prompt response.
- Data-Driven Insights: Maladrone generates data-driven insights for control strategies and efficient resource allocation.
Here is a demonstration of Maladrone in action.
Maladrone incorporates the following technologies and frameworks:
- DJI Mobile SDK: Software Development Kit for integrating DJI drone capabilities into the Maladrone application.
- YOLO v5 Object Detection Framework: YOLO (You Only Look Once) is used for efficient real-time object detection.
- TensorFlow Lite: Utilized for model optimization, ensuring efficient and fast inference on drone-mounted devices.
- Main Office: Nairobi Garage, Ngong Rd
- Phone: +254745051091 / +254715743449
- Email: [email protected]
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