Industry reports indicate that by 2025, all new cars sold will be connectivity-enabled. Today drivers are willing to pay an additional price to get in-car technology that they want. The recent surveys also indicate that majority of drivers are specifically interested in receiving vehicle health reports on demand.
However, most OEMs – even those already manufacturing connected cars - simply don’t have the means, talent, organizational skills, or fast-moving culture to build new connected car features in-house on their own at the pace of consumer demand.
Building a new connectivity-enabled feature in a vehicle is about accelerating innovation at the intersection of engineering, IT and data analytics. When these skills cannot be quickly mobilized in-house, the challenge is to forge an engagement partnership with a technology firm with deep engineering expertise to come up to speed rapidly, especially for components or in new areas that require fast time-to-market.
Infosys partners with vehicle manufacturers to leverage opportunities that lie at the cyber-data-physical intersection, by building robust solution architectures for comprehensive offering features around connected cars.
Implement a data hub-based solution, from Infosys, leveraging Apache STORM for real-time ingestion of data along with Document DB on MS Azure to processes large volumes of vehicle event information. Process real-time vehicle performance data from TSC Event Hub. Identify maintenance or malfunction events based on defined criteria and generate vehicle health reports in real-time. The scale-out architecture of the data hub platform reliably processes complex events in real-time and can be set to integrate with telemetry data from all the cars you manufacture across the globe. Via TSC and CIT, it captures latitudes, longitudes, altitudes, gyro and acceleration thresholds, along with trip time and trip information. This can also provide vital information - like acceleration and gyro thresholds, crash intensity and the like - to insurance companies so they can establish driver patterns and develop risk scoring too.