Accident management company Sopp+Sopp has teamed up with video telematics company VisionTrack to launch an auto first notice of loss (FNOL) service for commercial fleets.
Using artificial intelligence (AI) and computer vision, the solution 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 internet of things (IoT) platform has been integrated with Sopp+Sopp’s accident management software to enable the transfer of data.
Callum Langan, commercial director at Sopp+Sopp, said: “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.
“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.”
The report will combine 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 help enable incident detection and automated post analysis to establish the severity of an event and determine if any immediate action is required.
This process will utilise object recognition that uses deep learning algorithms to train the IoT platform to automatically identify vehicles, people, tailgating and crashes.
Richard Kent, sales director at VisionTrack, said: “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.”
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