Motive
Enhancing fleet safety: Motive launches AI features to combat distracted and drowsy driving in Mexico

Motive introduces new AI capabilities to improve driver safety in Mexico

Feb. 18, 2025
With the introduction of Motive’s AI-powered Drowsiness Detection and AI-powered Forward Collision Warning to the Mexico market, safety managers can address driver fatigue and other unsafe behaviors to improve overall fleet safety.

Motive recently announced new AI capabilities designed to address one of Mexico’s most pressing road safety challenges: distracted and drowsy driving. With the introduction of Motive’s AI-powered Drowsiness Detection and AI-powered Forward Collision Warning to the Mexico market, safety managers can address driver fatigue and other unsafe behaviors to improve overall fleet safety.

“Our people are our most valuable asset, and we need business partners that understand that,” Arturo Sánchez, founding partner of Autotransportes Pilot, said. “Motive helps us minimize risk and improve safety by enabling us to track drivers' rest periods and understand their operational status, including the surrounding environment. With Motive as our primary partner for safety and GPS tracking, we can assure our employees, partners, and their families that we are committed to their safety and well-being.”

Driver fatigue is a critical road safety risk in Mexico. Nearly half of the traffic collisions reported by the Mexican Institute of Transportation in 2023 were due to driver actions, including distracted and drowsy driving. Long hours on the road, exacerbated by labor shortages, push drivers to dangerous limits, resulting in risky behaviors such as crossing into oncoming traffic, unsafe lane changes, and fatal collisions.

“Our customers have shared that driver drowsiness is one of their top safety concerns,” Omar Camacho, general manager of Motive Mexico, said. “Motive’s new AI capabilities empower organizations in Mexico to tackle their most pressing safety challenges right away. These life-saving alerts give drivers and safety managers the tools they need to prevent accidents and save lives.”

See also: Motive launches feature to help fleets identify missed fuel savings

Available with dual-facing AI Dashcams, Motive’s new AI-powered Drowsiness Detection combats driver fatigue by detecting early and advanced signs of drowsy driving, including frequent yawning and when drivers' eyes are closed. When fatigue indicators are observed:

  • Drivers receive real-time in-cab alerts directing them to take a break
  • Safety managers are notified to quickly contact drivers and reinforce recommended breaks
  • If a driver begins to fall asleep, in-cab alerts are triggered to wake them to prevent a serious collision

Motive’s new AI-powered Forward Collision Warning helps prevent rear-end collisions, which are often caused by distracted or drowsy driving. Available with all Motive AI Dashcams, the new safety capability accurately detects when a driver approaches another vehicle ahead of them too quickly. By calculating speed, distance, and time to impact, it provides critical alerts that prompt drivers to brake. Motive said that forward collision warnings help reduce collisions by 27%, giving drivers the time they need to brake and avoid incidents.

In addition to AI-powered Drowsiness Detection and AI-powered Forward Collision Warning, Motive's AI Dashcam detects other coachable unsafe behaviors that include cellphone usage, unsafe lane change, close following, and speeding. Motive said its AI Dashcam generates alerts related to six unsafe driving behaviors three to four times more than similar solutions, providing customers with the visibility needed to prevent accidents and ensure their team arrives home safely. The company claims that its AI Dashcam can help customers achieve up to an 80% reduction in accidents, a 30% reduction in accident-related costs, and a 21% reduction in insurance costs.

About the Author

Jenna Hume | Digital Editor

Digital Editor Jenna Hume joined FleetOwner in November of 2o23 and previously worked as a writer in the gaming industry. She has a bachelor of fine arts degree in creative writing from Truman State University and a master of fine arts degree in writing from Lindenwood University. She is currently based in Missouri. 

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