Connected operations company Samsara has introduced a dash camera that uses artificial intelligence to improve driver and fleet safety. By embedding the latest A.I. and machine learning technology in the camera system, Samsara gives customers the tools to enhance fleet safety and reduce accident-related costs, according to the company.
Unlike traditional dash cams, which only capture video when associated with a harsh event such as aggressive braking or cornering, Samsara’s new cameras use computer vision to interpret road scenes, detect rolling stops, read speed limits, and identify dangerous driving behaviors such as distraction or tailgating.
Samsara’s software distills hours of video footage into the most critical events, preventing drivers or fleet managers from being burdened by data overload. With real-time processing, Samsara can proactively alert drivers in the cab, and provide fleet managers with instant, actionable information to better coach their drivers.
“These new cameras will allow us to be more proactive in regards to overall fleet safety,” said Whitney Pence of Northwest Cranes, an Oklahoma-based transportation and logistics company that uses Samsara to manage its 300-vehicle fleet. “We will be able to better identify areas for driver coaching and additional training to ensure safety in all aspects of our jobs.”
Saleh Elhattab, Samsara’s safety product group manager, stated: “Our mission is to solve the tough problems our customers face no matter the size of their fleet. With the new dash cam, we’ve applied cutting-edge AI developments to the challenge of improving fleet safety while still keeping the tech accessible.”
The new cameras are part of Samsara’s broader investments in artificial intelligence. The company plans to develop additional AI-driven features, which will be released to customers as over-the-air software upgrades at no additional cost, and will double its engineering teams in San Francisco, Atlanta, and London over the coming year. The dash cameras ship to customers this month.
Originally posted on Government Fleet