SafeRide Technologies announced that CAN Optimizer, its machine-learning-based data-compression software for connected vehicles, has been validated by multiple leading OEMs and Tier 1 suppliers and is ready for production.
Vehicle CAN data has “immense untapped value” for vehicle-health monitoring, predictive maintenance, vehicle-performance optimization, driver-behavior analysis and more, according to SafeRide.
“Legacy telematics solutions collect little information from vehicles and rely on restricted computational power,” the company asserted in a news release. “As a result, OEMs receive limited and filtered information about their fleets, resulting in suboptimal operational performance.”
While uploading raw CAN data to the cloud can enable advanced data services, the process consumes a significant amount of costly bandwidth and storage. Based on customer case studies, SafeRide’s CAN Optimizer dramatically decreases the bandwidth needed by providing a 96% reduction in data size, according to the company.
“Existing telematics solutions use low-bandwidth data plans and provide limited data capabilities to OEMs and fleet managers,” said Yossi Vardi, SafeRide’s CEO and co-founder. “CAN Optimizer dramatically extends the value of existing telematics solutions without the need for hardware changes, while still maintaining the same, or lower, data cost.”
The CAN Optimizer library was integrated and validated on several leading telematics chipsets, including the STMicroelectronics Telemaco3P, and consumed a fraction of the available processing power and memory of these devices, according to the company.