Hello everyone! Last few weeks we’ve been working on something completely different than computer vision. At the end of previous sprint we decided that it would be wise to start working on different solutions, since it would simply be too hard. A demand from the Port of Amsterdam is that we implement an idea that uses Google Glass. That is why we started this sprint implementing one of our previous ideas; redesigning the workflow of the checklist so that it is usable with Google Glass. Read more
It’s been a while! Don’t worry, we’re still alive. Let’s catch up! Last Sprint, Sprint 2, was all about computer vision. We chose to continue with recognizing traffic signs. Our idea was to automatically detect broken, dirty, crooked, or bent traffic signs. We would mount a camera to the car of the manager of the public space so that the analyst could pay attention to the road. For the detection of traffic signs in the video feed from the camera we needed a computer vision application. Read more
Last Thursday (March 5th) we finished our first ‘real’ sprint. It was the day we had the sprint review with our assigner, the Port of Amsterdam. During that review, we presented our findings and ideas, just like we’ve done the day before during the peer pitch. This blog post will explain our insights using graphics created by Sanjay (Click the images for a bigger version). Read more
Hi there! Do you still remember our previous blogpost? We elaborated a bit upon the current processes of assessing different situations. We also stated that we have some ideas on how to integrate smart eyewear into those processes. We found out that a big part of artificial intelligence (AI) can help with this proces. In some articles on similar projects, we saw a potential application for AI. Normally, AI refers to ‘making computers think’. A lot of work on AI really focuses on making the computer think like a human. But how can this contribute to our project? Read more
