An AI solution to identify birds, drones and lasers with Oak-D Lite camera.
The project is working with our model trained with Roboflow to recognize birds, drones and lasers.
You can use our model or train one of your own with Roboflow.
We used the library RoboflowOak in our implementation.
Clone this repository and open Terminal/CMD in the projects folder. Then run this command:
pip install -r requirements.txt
To run the program use:
python main.py
To use your own model, edit main.py and set the following variables (API key can be found in your Roboflow workspace setttings):
model_name = "[Roboflow-Project-Name]"
model_version = "[Trained-Model-Version]"
private_api_key = "Private-API-Key-From-Roboflow-Project-Settings"
confidence_level = The threshold confidence level from which the program should show detected object - should be a Float.
scale_factor = The preview window will be the model_resolution*scale_factor