Netradyne Adds New Detection Features to Driveri Platform
Photo: Netradyne
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Photo: Netradyne
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Netradyne has added three new artificial intelligence deep-learning features to its Driveri platform, including Traffic Light Detection, Relative Speed Determination and Pedestrian Identification.
The Driveri platform is designed to detect and analyze on-vehicle video with artificial intelligence to help drivers and fleets improve performance and understand driving conditions.
The new features are said to provide fleet managers and drivers with greater driving situational visibility:
Traffic Light Detection – through the accurate detection and recognition of traffic lights, fleets gain valuable insight into their routes, capturing a more robust driving view in the absence of an inertial-based trigger
Relative Speed Determination – Driveri analyzes every minute of every driving hour – computing the vehicle’s speed against the flow of traffic – providing visibility into potential unsafe speed variances based on road conditions
Pedestrian Identification – expanding on Netradyne’s comprehensive deep learning portfolio, the platform can now detect proximity of pedestrians to the vehicle, improving risk analysis
The Fleet Safety Management Center lets fleet managers instantly access video events that have been transmitted based on preconfigured parameters. In addition, EventAccess gives fleet managers the ability to remotely access video events that are stored on the Driveri platform. EventAccess also provides fleets the ability to respond to immediate inquiries regarding claims and customer service requests.
Fleet Managers can query the Driveri dashboard and search video events by driver, vehicle, date, time and location. Results are displayed in an easy-to-view interface, allowing for quick responses and immediate inquiry resolution.
“Through the application of Deep-Learning, fleets are provided with a wider view into the driving environment, allowing for more complete context around the conditions that the fleet is operating under and ultimately making the fleet safer in those driving conditions,” said Avneesh Agrawal, Netradyne’s co-founder and CEO.
Related: NetraDyne Builds Artificial Intelligence into Camera-Based Safety System
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