Part-time Master Thesis: Visual End of Stair Recognition with ML and AI

at Scewo in Winterthur CH

Short Description

The goal here is to use our camera in the back to detect when a stair is finished. We would like to create a small neural net that can be taught to recognize what a stair is an what not. There are many special cases when reaching the top and there could be lying objects around. The algorithm still has to detect with 99.999% certainty that the stairs are finished. On this technology we could then build up to start detecting steps when driving in balancing mode. This will be much more difficult and does not have to be scope of the thesis. 


Context

Wheelchair driver...

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Published at 07-06-2019
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