Some of the key objectives of the SMART project included the design of a modern, scalable architecture and implementation and further development of the system. The SMART system is developed by a well-functioning team operating across organizational boundaries in seamless and straightforward cooperation.
We’ve brought in a broad range of experts: the development of the SMART system is handled by two full stack developers, but the comprehensive development has also made use of data scientists, mobile application developers, UI designers, and embedded systems experts.
Prioritizing the user and environment in product development
In addition to continuous development, we’ve also assisted Europress in separate product development projects. The skills of our data analysts and embedded systems experts came in handy in a project that successfully developed a machine learning-based prediction model. The learning algorithm predicted when the waste compactor would fill up, making it possible to empty the container at exactly the right time.
Used by garbage truck drivers, among others, the SMARTwaste mobile app lets the user know where a waste compactor is, how full it is, and when it will fill up. The application is a joint effort by Vincit’s service designers, UI designers, and application developers.