Automated FNOL? Whatsopp With That Bro?

Yes, that cheesy headline was a play on sopp+sopp, the accident management company, who have teamed up with video telematics specialist VisionTrack to launch an auto FNOL service for commercial fleets. That is handy you may well think. Using the latest advances in artificial intelligence (AI) and computer vision, the solution will help to validate driver welfare, streamline claims handling and reduce insurance costs. We all know a settled claim is one where the meter has stopped ticking, so if you can complete the process more accurately, and faster, it’s all good.

“Auto FNOL is going to play an important role moving forward, helping our fleet customers to take control of the claims management process and support their duty of care commitments,” explains Callum Langan, Commercial Director at sopp+sopp. “We will gain faster, more accurate reporting, enabling us to reduce unreported incidents and safeguard driver wellbeing. The technology will also achieve cost savings through improved third-party capture rates and liability decision-making, including the evidence needed to challenge alleged and fraudulent incidents.”

Auto FNOL will automatically generate a first notification of loss report in the event of a collision detected by the commercial vehicle’s connected camera system. VisionTrack’s Autonomise.ai IoT platform has been integrated with sopp+sopp’s accident management software, enabling the seamless transfer of data. The report will combine critical information from both systems including time, location, g-force, impact speed, video footage and vehicle details, as well as being overlayed with details such as weather and traffic conditions.

Autonomise.ai will enable precise incident detection and automated post analysis, without the need for human intervention, to establish the severity of an event, remove false positives and determine if any immediate action is required. This process will take advantage of ground-breaking computer vision innovation as well as object recognition that uses deep learning algorithms to train the IoT platform to automatically identify vehicles, people, tailgating and crashes. With accuracy levels already exceeding 98.0%, it will be possible to effectively detect, track and alert on collisions.

Richard Kent, Sales Director of VisionTrack commented: “No large fleet has the time and resources to manually review every triggered event, so automated post analysis of uploaded footage cuts through the noise to accurately determine when a collision has occurred. This joint solution delivers high levels of accuracy and insight, creating an automated process that will allow sopp+sopp to achieve and truly take advantage of auto-FNOL.”

About alastair walker 8709 Articles
20 years experience as a journalist and magazine editor. I'm your contact for press releases, events, news and commercial opportunities at Insurance-Edge.Net

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