BANF uses AI to track tire data across vehicle fleet

LAS VEGAS — BANF has developed a tire-monitoring system it claims is capable of gathering and disseminating thousands of data points per second in a real time.

The aim of the system is optimizing safety and "improving fuel-efficiency on a massive scale" for commercial vehicle fleets, according to Ron Lee, BANF vice president and head of business.

BANF, headquartered in Seoul, South Korea, with offices in San Francisco and China, held demonstrations of its two-part system at its CES 2025 booth at the Venetian Resort Las Vegas in January.

The BANF System gathers data on tire pressure and temperature, tire wear, wheel alignment, lug nuts status, tire load and road conditions in real-time, Lee said. It uses artificial intelligence (AI) to predict critical events as well as creating a live view of fleet operations.

Lee said current tire pressure monitoring systems (TPMS) are limited in the data they can gather because they operate on coin battery cells.

"If they try to do that high-frequency sampling and then try to apply AI on top of that, it'll die in a day," Lee said.

The BANF System comprises two parts: the iSensor installed on the inside on the tire, and the Smart Profiler installed on the vehicle.

The iSensor gathers the data. It features a 3-axis acceleration sensor, TPMS and low-energy Bluetooth functionality. It has been tested for vibration, water proofing and shock resistance, Lee said, and it was IP67 certified for 100,000 miles. The sensor captures data as the tire rotates and relays it to the profiler.

The Smart Profiler is connected to the vehicle battery to wirelessly charge the iSensor, and it is also a data transmitter. The technology is referred to as "edge AI," or AI used to process data directly on a local device.

The result is a real-time interface fleet managers can track on a computer.