Visual detection project, using high-tech artificial intelligence systems, was developed to detect aircraft's tilt, upwards-downward and orientation angles without the need for any external sensors or Global Positioning System (GPS).
Automatic control of aircraft by artificial intelligence in case of Global Positioning System loss or sensor failure
Warning system when aerial vehicle exceeds given orientation angle limits and, when needed, enabling pilot to take over the control of UAV.
Continuous learning and progressing artificial intelligence model
Improvement of the model with data gathered from sensors during flight
In this project, it is aimed to identify the objects identified by the image data obtained from the UAV's tail camera. Latest deep learning technology models have been applied.
In this project, the aim is to detect and track the objects and data identified with the help of the high resolution image data received from gimbal
It is intended to assist the landing of the UAV using images with the Visual Landing System.
UAVs use conventional positioning systems to detect their position in the world. Thanks to the Landmark Recognition project, UAVs will gain the ability to calculate their position according to known marked locations, to navigate without the support of Global Positioning System and other similar systems.