A privacy-compliant AI-application was developed by DataJiro to analyse the data and eventually to detect fraudulent behaviour. While the authorities had access to the video material, geo-location data and time stamps, still no reliable information was available about the actual length of the trips.
Analysing the video material the exact time and location when passengers enter and leave the taxi vehicle defining the start and end of the trip, could be identified. Having this data available, the actual trip length as well as the most efficient route could be automatically calculated. Comparing the actual trip length with the most efficient route, fraudulent behaviour could be detected.
Moreover, a score based on the ratio of short vs. long-distance trips was consequently revealed for each of the analysed taxis. Taxis with a higher ratio of long distance trips were identified as potential incompliancy cases.
In addition to identifying fraudulent behaviour, the application can generate various reports on each vehicle's travel duration, passenger count, routes, efficiency, and compliance with traffic rules.