Insurance companies now get access to over forty reference points for vehicular incidents at all speeds, plus the increased ability to identify fraud, especially at those difficult to capture low speeds.
Reconstructing a crash by reading incident reports is a challenging task. With the release of SDK 8, Sfara provides the tools to better review the data leading to an incident, as well as identify fraud, even at low speeds.
Sfara’s new adjustor-focused collision insights provides over forty points of reference for a crash, giving adjusters and managers the ability to quickly view data points, timelines, maps and direction of impact.
Plus, Sfara is introducing declared and flagged anomalies for better identification of fraud. Anomaly detections are incidents captured by phone sensors but determined not to be a crash by Sfara’s technologies. Flagging these incidents makes it possible to review and compare reported incidents or discovered dents and scratches to actual data.
Claims adjusters can now compare an incident report to flagged anomaly data without having to search through raw data feeds. If an incident is reported during a timeframe with no crash declaration or flagged anomaly data, there is reason to suspect fraud.
Sfara’s SDK 8 also introduces a Flutter plugin so companies can easily integrate Sfara’s crash detection services into any Flutter-based app. It also contains improvements to sfara’s groundbreaking Zero MotionTM crash detection and driver attribution feature.
As always with Sfara’s smartphone-based solutions, no additional hardware or installations are required by the end user.
For more information, contact [email protected]