Demonstration of technology to identify the movement in a city

Important results from the project

In line with the goals, we have learned a lot about the technical conditions, properties and handling of the data sets in order to understand the potential of scalability. In joint workshops, we identified which areas and analyzes were most interesting, which was a guide in the further work. In the spring of 2023, Problem Owners was provided with an appreciated PowerBI-application connected to our analysis platform that demonstrated how different types of data can be made available and analyzed.

Expected long term effects

Our product & market position has been strengthened during the project. The close cooperation with the Problem Owners has brought us closer to their needs and questions. 3 important break-throughs: Better at capturing movement with the stop-motion method. An ML method for identifying vehicle types. An analysis platform with automated data import and API outputs. During the project, we have had meetings with potential customers, which led to commercial projects, new applications & about 20 leads.

Approach and implementation

Throughout the project, we had meetings every 2 weeks to keep dialogue & pace up. The project had 4 phases: Understanding- We interviewed the Problem Owners and held workshops to understand questions and needs. Learning- We familiarized ourselves with the data and shared a number of analyzes with data from Tre and Östgötatrafiken. Integration- The analysis platform was created and we matched what we learned with the needs. Execution- Analysis work was finalized and the PowerBI-application was created.