Computer Vision News - September 2016

We asked Rijnders about the algorithm techniques which are most suited to solve these problems. In his view, you cannot use the traditional methods of algorithms such as DCT or FFT. There are lots of problems with aliasing, periodic data repeating, how to normalize this data, how to make the high frequency data relevant, or how to avoid an input that is a power of 2. To solve all of these things, they converted differently to the frequency domain. Rijnders and his team worked for two years to create their tool chain and platform. Last summer they started to go often to the Silicon Valley and ask the industry what their problems were. Obviously, they have a lot of things that need to be solved and reportedly reception was very good. They clearly want to specialize in quickly creating new solutions for the industry (during the initial phase of Cogisen, they also worked with a Formula 1 racing team): basically, being asked to invent technology and quickly come back with solutions . Now they concentrate mostly on customers in Silicon Valley, who ask them to create technology in an accelerated way using their platform to solve problems they have. Up until now, Rijnders claims there hasn’t really been a problem that they haven’t been able to solve for Silicon Valley. Now that they have the structure to do an accelerated type of prototyping for the invention of new technologies, their next step is to provide a product technology, not just an accelerated prototyping for new technologies. They want to open an office in the United States (in the Silicon Valley), close to the customers. Secondly, they would like to have the structure to push these new technologies forward to real products in an accelerated fashion. The time is probably coming for them to do series B funding with an American investor or, even better, with an industrial partner who will help raise their app Sencogi to the next level. I asked Rijnders if his work at Ferrari had any influence on his management style at Cogisen. His first hand testimony of the great years of the Italian Scuderia deserve to be told in first person. So here is his reply: “ I have to say that, when I was at Ferrari, it was really a dream team with Ross Brawn, Jean Todt, Marco Fainello . We had a top team. Everyone’s opinion was respected. The information flow was open. Everyone knew what the others were up to, but nobody interfered with the work of the other. If you were an electronics expert, you needed to know what was happening with the tires. If you were a tire expert, you needed to know what was happening in aerodynamics. If you were in aerodynamics, you needed to know what was happening in the chassis. Everyone would know what the others were up to, but nobody would interfere with their work. People were not afraid to share information. Often, if the work culture is not correct, then people will not share information to protect themselves and their work from future problems or politics. There was none of this. Everyone was 100% open . Computer Vision News Application 11 “At Ferrari, everyone was 100% open!” Application