Phone or IoT motion sensors verify crashes on-device and deliver location, speed, and g-force through crash APIs so insurers can dispatch help and open claims immediately.


Operators responsible for drivers, insured vehicles, smartphones, IoT devices, crash scenes, emergency services, roadside providers and insurer response teams cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
Automatic Vehicle Crash Detection and Emergency Assistance combines connected field data with application software. Phone or IoT motion sensors capture impact, g-force, speed, location, time and driver context during a suspected vehicle crash. On-phone algorithms verify the crash and CMT services deliver critical incident details through crash APIs, including location and intensity. Response teams contact the driver, dispatch suitable emergency or roadside assistance and initiate digital first notice of loss when appropriate.
Teams configure the monitored assets, users, and operating rules. Phone or IoT motion sensors capture impact, g-force, speed, location, time and driver context during a suspected vehicle crash. Smartphones, connected vehicles and supported IoT tags use configuration-specific network paths; no single exact transport applies to the full workflow. On-phone algorithms verify the crash and CMT services deliver critical incident details through crash APIs, including location and intensity. Response teams contact the driver, dispatch suitable emergency or roadside assistance and initiate digital first notice of loss when appropriate.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
Faster help: Alerts response teams within seconds of a verified crash.
Better dispatch context: Matches assistance to crash intensity and precise scene location.
Earlier customer contact: Lets insurers reach drivers when support is most needed.
Lower claim leakage: Encourages prompt use of coordinated assistance and in-network services.
Detects suspected impacts from smartphone or supported IoT-device sensors.
Applies local crash algorithms before sending an incident alert.
Reports supported location, time, driver, intensity, speed and g-force details.
Sends verified event information into the customer response system.
Supports emergency-service and roadside-assistance decisions.
Lets insurers begin customer outreach and first notice of loss promptly.
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