The TULIPP solution aims to fill this processing gap by using its good performance to weight and power consumption to weight figures.
In this UAV use case we plan to use computer vision algorithms such as depth estimation and obstacle detection to evaluate the surroundings and make the UAV more intelligent.
Medical X-Ray Imaging
Reduce radiation dose by 75%
In the Tulipp project our aim is to try and reduce the level of radiation by 75%. As a result of this, more powerful image processing will be required in order to still be able to see many of the small details in the human body that are crucial during surgery. Since most operating rooms are small, the device needs to be small and mobile. A system that integrates the processing close to the sensor would be ideal to help reduce extraneous wires.
Advanced Driver Assistance
Safer driving experience
ADAS vision systems require real time, low latency processing, at high to very high computational load. They need to be robust and reliable, and will often be treated as safety critical systems. The Tulipp project addresses all these questions – by offering a toolset and standardization, it will help the designers to focus on the image processing application rather than platform details.