MOPRIM develops proprietary AI and machine learning algorithms for advanced movement recognition of people, vehicles and their mobility in smart cities. MOPRIM’s data-as-a-service solution is especially suitable for gathering and analyzing any movement related data using smartphones or wearables.
We use many mobile applications which would work much better if they could utilise the motion sensor data more accurately. For example in mobility applications, knowing the transportation mode at certain point of time will be important piece of information to give better guidance to commuter about modality options available.
Wearables with motion sensing capabilities will create a big market for various applications. Already now we have fitness applications which can recognise walking and running pretty accurately. In the near future, they can also tell much more about your golf swing or tennis serve based on the motion data produced.
Need to utilise the motion data creates also huge potential for big data. Smart cities want more accurate information how people are actual using the transport infrastructure and insurance companies and car fleet owners are interested in people’s driving behaviour. In latter case, better drivers will get discounts on their insurance or rental fees.