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A new solution from CerebrumX Lab., Inc. and Roadside Telematics Corporation aims to provide emergency responders with traffic data and real-time crash data.
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This collaboration with Azuga will strengthen its fleet tracking platform with CerebrumX's AI-powered Augmented Deep Learning Platform.
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The new technology takes the traditional dashcam to the next level with annotation labeling, which uses AI flagging to assign risk level to recorded events.
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The company introduces a new predictive-AI technology subscription service for its channel partners and small to mid-sized fleets looking to optimize their driver and road safety needs.
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Customers of ELMS' electric delivery vans and trucks will leverage Nauto’s predictive-AI fleet safety platform across various use cases and industries, such as parcel delivery, telecom, utilities, hauling, and e-commerce.
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Before this achievement, the vehicle was able to autonomously complete all operations that are performed daily by a commercial fleet driver.
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The automaker believes its new safety package will reduce fatalities and accidents overall.
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Nauto says collision avoidance and safety automation features enable more effective risk mitigation for drivers and fleet managers.
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The AI-enabled capabilities trigger notifications and real-time alerts for pedestrian collision, speeding over the posted limit, progressive fatigue and drowsiness, and intersection violations.
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The company’s platform collects information from real-time HD video feeds, sensors and data entry workflows and then applies machine learning to identify areas for improvement.
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