Building an Image-classification Library for Deep-learning Algorithms
The purpose of BILDA is to improve the detection rate of the detection algorithm we use.
Until now, the detection rate has been too low for it to be possible to use only analyzes from the algorithm.
This means that a third party must manually verify data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images,
it is expected that the detection rate can be improved with up to 95% accuracy,
which will drastically reduce resources spent on manually verifying the data.
Zero Emission Last Miles Aviation
ZELMA aims to develop new knowledge in the interspace of long haul and last mile logistics and carry out novel, smart unmanned net zero emission aviation solutions by developing, testing and piloting RPA’s (Remotely Piloted Aircrafts) communication and big data technologies.
The project will contribute to new knowledge and services related to net zero carbon emission of connecting last mile drone delivery hubs and solving interconnected logistics.