Motive Launches New Edge AI Capabilities to Help Prevent Collisions and Capture Critical Incidents in Real-Time

Executive Summary

Press Release Groundbreaking new accurate AI models can detect signs of fatigue and eating, plus capture low-severity collisions often missed by telematics SAN FRANCISCO – May 12, 2026 – Motive, the AI platform for physical operations, today announced AI-powered Fatigue Detection, AI-powered Eating Detection, and AI-powered Collision Detection as part of a set of new AI Driver Safety capabilities designed to detect early signs of unsafe driving and capture low-severity collisions such as sideswipes and fender benders often missed by telematics alone. The new AI models are designed to give organizations earlier visibility into risk and can help teams respond to incidents and resolve claims faster. Distraction and fatigue are leading causes of preventable collisions, yet many high-risk behaviors go undetected until after an incident. Fatigue alone accounts for over 100,000 crashes, 800 deaths, and 50,000 injuries annually. Without real-time visibility into unsafe behaviors, safety teams lack the context to intervene early and coach effectively. When incidents do occur, telematics often miss low-severity collisions, which complicates claims, delays response, and increases liability. “Distraction and fatigue are among the most preventable causes of collisions, but they’re also the hardest to catch early,” said Hemant Banavar, Chief Product Officer at Motive. “The risk shows up first in subtle behaviors, like eye rubbing or small lapses in attention, that most systems miss. Motive detects those signals in real-time and filters out false positives, so teams can act on real risk before it turns into a collision.” Motive brings detection, validation, and action together into a single system to give organizations earlier visibility into risk. New AI-powered Driver Safety capabilities include: AI-powered Fatigue Detection: Built on escalating risk signals, Motive connects six key indicators, including face rubbing, stretching, eye rubbing, yawning, lane swerving, and mi