What the system can do
- Detect birds in the danger zone in the air and on the ground
- Determine parameters: distance to birds, direction of movement, number, size, actions of birds on the ground and in the air
- Automatically give a signal if the birds are in the danger zone
- Display the image on the operator's monitor
We used the programming language - Python and C++. Machine learning libraries - Tensor Flow, Keras, Numpy, pandas, as well as web interface building tools - are HTML and C.Project nuances
For the system to work, it is important to consider three points:
need to install cameras with the ability to view the runway;
power supply for cameras at the mounting point;
Internet at a speed of 1 Gbps at the server installation point.
The second nuance: so far the system works only in clear weather. At night or in heavy fog, a regular camera does not notice objects, but this is solved by using cameras with a thermal imager.Development
At the next stages, we plan to add the ability to scare away birds using ultrasound.