Single-person R&D focused on autonomous systems for UAVs that run in real time on affordable (~$150) hardware to detect and track objects.
Detection model demo
We like to show the results each time we have progress, so this is latest demonstration.
5GHz WiFi Broadcast HAT
An open-source 5GHz WiFi Broadcast HAT for FPV video transmission and long-range communications.
- Chipset: RTL8812EU in a BL-M8812EU2 module
- Frequencies: 5.15 to 5.85 GHz
The KiCad design files, driver information, and safety notes are available in the GitHub repository.
Contact
Send me DM on X: @roman_koshchei. We would be interested to talk with:
- potential investors or partners
- cool engineers of any kind
Drone Avoidance Module
Automatically maneuvers a UAV away from a drone approaching from behind. When a rear-facing camera detects the drone with high confidence, the module steers the UAV away from it. The video shows the system being tested in simulation.
The estimated price is $250-300, including a single-board computer, daylight camera, and all software. It may be lower when buying electronics in bulk.
Tools
Here are some Open Source tools we developed for ourself. You can check them out:
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YOLO Auto Annotation creates YOLO dataset from specified images using Moondream AI model to find bounding boxes for your classes. It reduces time required to go through images and annotate them yourself.
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YOLO Dataset Visualizer allows to scroll through dataset and see bounding boxes on images. You can remove image from dataset if bounding boxes are incorrect. I use it after Auto Annotation to remove occasional mistakes.