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Aperia brings machine learning to tires


ATLANTA, Ga. – Aperia Technologies’ new Halo Connect is using the power of machine learning to help fleets “virtually eliminate” unplanned tire-related downtime.

The system builds on the company’s Halo tire inflator, incorporating a retrofittable sensor that feeds data into Aperia’s analytics platform.

“The hardware, the sensors are not where the secret sauce is,” CEO Josh Carter says, referring to the value of guidance developed by the underlying machine learning and algorithms.

Tire-related issues are ranked by severity and combined with maintenance recommendations, helping to prevent failures associated with leaks and under-inflation.

Instead of waiting for a tire pressure monitoring system (TPMS) to sound the alarm about a tire that drops as low as 70 psi, it’s designed to tell if a tire at 99 psi is slowly losing air because of a puncture, Carter explains.

“We all envision a day when there are no tire-related roadside events.”

The algorithms draw on about 1.5 billion km of existing on-road experience with the Halo system.

Dozens of fleets have been testing Halo Connect over the last six months. Full production is set for this fall.


John G Smith

John G Smith

John G. Smith is the editorial director of Newcom Media's trucking and supply chain publications -- including Today's Trucking, trucknews.com, TruckTech, Transport Routier, Canadian Shipper, Inside Logistics, Solid Waste & Recycling, and Road Today. The award-winning journalist has covered the trucking industry since 1995, when he was named the editor of Truck News and led the development of trucknews.com. Since then he has been a contributing editor to industry publications across North America, served as a frequent speaker on industry topics, and been honored for his coverage of business and technical matters alike.
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