Data Aggregation Platform for Automotive Industry
Fremont, California – Excelfore announces 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.
The platform includes eDatX in the cloud with:
- Flow control to manage data input from thousands of vehicles
- Real-time stream processing
- Data lake storage with statistical aggregation
- APIs for reporting and visualization of data
- APIs for access and integration with AI Machine Learning engines
It also includes an in-vehicle eDatX service for:
- Integration with the OTA data pipeline for authentication, provisioning and registration
- Rules-based data management based on flow control policies
- Centralized and distributed rolling buffers for data from multiple sensors and ECUs
- In-vehicle data stores for multiple sensors and ECUs
- Data granularity management during ingestion and post-storage
- Policy-based data granularity management to adapt to sporadic or lost network connections
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.
