SAN PEDRO GARZA GARCÍA, NL – Reducing road accidents and highway robberies to zero may seem like a utopia, but for Motive México it is an achievable goal if the transportation industry fully embraces artificial intelligence.
This was the point made by Omar Camacho, CEO of Motive Mexico , during the workshop on AI and Technology for a Safe, Smart, and Profitable Fleet, as part of ETYL 2025, where he shared worrying data and concrete solutions to address the sector’s main challenges.
“Freight transport represents nearly 5% of the national GDP, but theft alone generates losses equivalent to 0.5% of the total, in addition to the human and operational costs involved,” Camacho said.
He explained that a robbery occurs on the country’s highways every 24 minutes , and 40% of them originate from within organizations , reflecting the urgency of integrating more predictive and less reactive technologies.
At the same time, road safety is experiencing alarming deterioration. Mexico is now the country with the second-highest growth in road accidents worldwide.
“These are tragedies we can prevent. AI can reduce accidents by up to 80% in less than a year,” the executive emphasized.
Camacho explained that Motive develops its technology based on Computer Vision , a branch of AI that “allows systems to see, understand, and react to their environment accurately and in real time.”
In practice, this translates into a “ digital copilot ” capable of detecting distractions, drowsiness, or risky behavior, alerting the driver in seconds, and generating information for personalized training.
“Cell phones have become an epidemic of distractions. A digital copilot doesn’t tire, isn’t distracted, and can save lives,” Camacho said.
He also shared examples of how Motive’s systems learn from thousands of hours of video to identify complex human signals such as fatigue and microsleeping.
During the session, attendees—representatives of transportation and freight companies—shared experiences that reflect current gaps in visibility, monitoring, and emergency response .
They agreed that, despite the use of cameras and GPS, the processes remain manual and reactive.
“We face thefts even with cameras installed, but if the video isn’t uploaded to the cloud, we have no evidence or defense,” commented one participant.
Camacho emphasized that Motive’s vision goes beyond traditional tracking or telemetry .
“The fleet must be understood as an interconnected ecosystem. It’s not enough to know where the truck is, but why it’s there, what conditions it faces, and how to make the operation more productive in real time,” he said.
The Motive Analytics platform integrates data on fuel consumption, operator behavior, maintenance, and safety, with the ability to answer natural questions like, “How many kilometers did we drive this month?” or “Where is the diesel consumption abnormal?” , providing immediate insights for decision-making.
In addition, the company is promoting modules for digital document management and regulatory compliance , such as the monitoring of pipelines and hydrocarbon transport required by the Energy Regulatory Commission, in order to prevent fuel theft and ensure full traceability.
“Technology alone doesn’t change reality; it does when it connects with people. Every driver, every unit, and every piece of data is part of an ecosystem where artificial intelligence can save lives, protect assets, and build more humane transportation,” he asserted.
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