IGEN’s Driver Telematics Signature Patent Is Accepted By United States Patent Office
IGEN Networks Corporation, a leading innovator of cloud-based and Internet of Things (IoT) solutions for the protection and management of mobile assets, announced the acceptance of its Patent Application No. 16/387,858 – “Method and System for Creating Driver Telematic Signatures” by the United States Patent Office (USPTO).
The Digital Telematics Signature (DTS) is comprised of proprietary algorithms designed to measure driver behavior for both commercial and consumer markets regardless of the data sources. Whether driving in high-density traffic or at high speeds over the expressway, the data is normalized across a relatively large sample to create a consistent and accurate driver profile based on actuarial metrics. With programmable weighting of driving events such as speed, sudden-braking, harsh-turns, traffic flow, and vehicle profiling, a “DTS” or weighted score is created over an extended period-of-time.
“The premise for this patent is to establish an industry standard for assessing driving behavior regardless of its data source, whether it’s a commercial truck driver, a teenage driver, or an autonomous vehicle using AI imaging, our algorithms will normalize the multitude of driving data to derive a unique signature or score for the driving patterns of a commercial or consumer automotive vehicle,” said Neil G. Chan, CEO of IGEN Networks Corporation.
Recommended AI News: Nureva HDL200 Audio Conferencing System Certified for Barco ClickShare Conference
IGEN’s Next-Generation Platform incorporates the DTS algorithms for both commercial and consumer markets. Built on Amazon’s Web Service (AWS) infrastructure and based on state-of-the-art coding methodology, the Next-Generation Platform leverages Facebook and Google design techniques to present a seamless user interface regardless of access methods including smartphones, tablets, desktops, and third-party application environments. The AWS infrastructure offers reliability, security, and scalability to support millions of users or assets and an Application Programming Interface (API) friendly environment that adapts to a broad range of data sources to support the changing needs of consumer and commercial customers.
Recommended AI News: NTT Research and Tokyo Institute of Technology Target Two Applications for CIM