Excelfore has announced the eDatX platform for big data driven AI (Artificial Intelligence) learning in fields of error detection, predictive analytics, and advanced algorithm development. The eDatX platform seamlessly integrate with eSync Compliant automotive OTA and data gathering pipelines.
When combined they create a secure service-oriented architecture to unlock data from any number of sensors and controllers in the connected car. Making the data accessible can drive improved vehicle health and accelerate feature development.
The new eDatX platform enables cloud-based remote evaluation of data gathered across geographically distributed development teams.
Shrinath Acharya, CEO at Excelfore, said: “Handling data effectively can lead to multimillion-dollar savings in accelerated development of many advanced automotive technologies such as electric vehicle powertrain optimisation, and can serve as an essential foundation for HPC (High Performance Computing) for ADAS (Advanced Driver Assistance Systems) and autonomous driving. The eDatX platform provides the data aggregation capabilities needed to deliver successful, cost-effective projects.”
The platform includes eDatX in the cloud with:
It also includes an in-vehicle eDatX service for:
The eDatX platform is cloud agnostic and can work with any major commercial cloud service.
The new platform can aggregate data gathered from a wide range of sensors, which for vehicles could include streaming cameras, lidar and radar, telematics speed and geo-locational data, and external and internal temperatures, g-force/acceleration, rotational torque, rotor position, AC current, DC voltage, fuel-air oxygen levels, hydraulic pressure, and bus/network traffic and protocol errors as well.
The eDatX platform may also be applied in industrial and smart building applications, where typical sensors could include photo / light detectors, occupancy sensors, air quality and internal temperature sensors.