Motive, a US-based software company, has launched AI Dashcam Plus, a device designed to detect risks in real time and reduce collisions in commercial fleets, according to a company press release.
The dash cam combines advanced AI processing, dual forward-facing cameras, and hands-free communication in a single unit.
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Powered by the Qualcomm Dragonwing™ QCS6490 processor, the device can run more than 30 AI models simultaneously, Motive said, offering three times the processing power of competing dash cams. Its stereo vision system uses two synchronised lenses to improve depth perception, which the company says supports more accurate forward-collision and lane-departure alerts.
Shoaib Makani, Motive’s co-founder and chief executive, said the system enables organisations to respond faster to unsafe driving behaviours. “We’ve added three times more compute, created the first AI dash cam with stereo vision, and added hands-free communication, all in one system, so organisations can detect more risks and act faster,” he said.
The device also incorporates automated number plate recognition, advanced sensor fusion, and AI-powered alerts for unsafe driving. Motive highlighted that its unified hardware design reduces installation time, improves connectivity, and ensures collision footage uploads reliably. Its Android-based platform allows over-the-air AI updates and optimises processing workloads across the device’s CPU, GPU, and DSP.
Analysts have noted the growing importance of AI in fleet safety. Beatriz Minamy, principal analyst at S&P Global Market Intelligence, said, “AI-powered solutions that enable real-time coaching, automated in-cab alerts for unsafe behaviours and proactive risk detection are becoming central to how fleets strengthen safety and accountability.”
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By GlobalDataAccording to Motive estimates, the company’s AI dash cams have helped prevent over 170,000 accidents and saved around 1,500 lives in North America since 2023. An internal study commissioned by the company indicated fleets using the system have reduced collisions by approximately 80% and accident-related costs by 63%, reflecting potential savings for fleet operators and insurers.
