SensorMoto launches TrailerShield damage detection system for trailers

Avatar photo

SensorMoto has introduced TrailerShield, a new sensor-based system designed to detect trailer and container damage in real time and help fleets identify when and where impacts occur.

The patented technology uses electronic ribbon sensors installed along key structural areas of a trailer or container — including the front, rear, side rails, and radius corners — to monitor for impact events. When a G-force or collision is detected, the system automatically records the incident location and time and alerts fleet personnel.

SensorMoto device
(Photo: SensorMoto)

SensorMoto says the system is designed to help carriers quickly determine fault, initiate claims sooner, and reduce downtime associated with unidentified trailer damage.

TrailerShield can integrate with existing fleet telematics platforms and can also trigger trailer camera systems to capture video when an impact event occurs.

According to the company, freight equipment damage remains a widespread issue across the logistics sector. The U.S. fleet includes about 2 million tractor-trailers and roughly 37.5 million containers, and many experience damage early in their lifecycle. SensorMoto estimates the industry loses about $1.8 billion annually due to damage incidents where the cause or responsible party cannot be determined.

“By capturing critical incident data at the moment it occurs and delivering it to the right stakeholders, fleets can hold responsible parties accountable, accelerate repairs, and dramatically improve asset utilization,” the company said in a release.

The company will show the product for the first time at the upcoming Technology & Maintenance Council meetings of the American Trucking Associations in Nashville next week.

Avatar photo


Have your say


This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances.

*