video telematics

Why 2D bounding boxes fail at intersections: A geometric approach to Stop Sign Violations

If you handle camera data from commercial vehicles operating in dense urban areas, you know how fragile visual triggers can be. A delivery van approaches a standard intersection. The on-device neural network spots the stop sign, tracks it for a few seconds, and generates an event clip. But when your operations team reviews the video, […]

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A dashcam view of a city street with complex Peregrine.ai technology overlays. Blue boxes detect multiple cars, and a distinct red box highlights a cyclist with a high 92% risk score circular overlay. Large text across the top discusses moving beyond the pilot in video telematics strategy and moving beyond G-force.

Moving beyond the pilot: Why your video telematics strategy is trapped by G-force

If you run a tier-one telematics service or manage a specialized commercial fleet, you have likely sat through a dozen presentations about “AI-powered video telematics.” You might even have run a pilot project with a few connected dashcams. Yet, when you look at the industry at large, a frustrating reality emerges: most fleet operators are

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Webfleet selects Peregrine.ai as their exclusive Video Telematics partner

Webfleet and Peregrine.ai collaborate on Visual Intelligence solution

Amsterdam, 16 September 2025 – Webfleet, Bridgestone’s globally trusted fleet management solution, and Peregrine.ai, a Berlin-based startup transforming mobility through AI-powered vision systems, today announced the launch of a next-generation driver assistance solution. This solution sets a benchmark for fleet safety and is easily retrofitted into any commercial vehicle via an over-the-air update – regardless of make, model

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Peregrine.ai and Linqo Launch AI-Powered Video Telematics Solution for European Fleet Market

BERLIN & VILNIUS, May 14, 2025 —Peregrine.ai and Linqo GmbH have partnered to launch a fully integrated video telematics system, combining Peregrine’s edge-based computer vision software with Linqo’s established fleet management platform. The joint solution delivers real-time visual intelligence for commercial fleets across Europe, enhancing driver safety, operational efficiency, and compliance from day one. At

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Why Rideshare Drivers Across Europe Should Embrace Dashcams

A Tale of Two Continents: Dashcams in the U.S. vs. EU In the United States, dashcams have become nearly standard equipment for rideshare drivers — and with good reason. American Uber and Lyft drivers quickly learned that having video evidence can make or break the outcome when something goes wrong. Whether it’s a collision, a

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AI at the Edge Transforms Fleet Safety Technology with Video Telematics

Fleet Safety Technology: AD Technology on Fleet Dashcams

In today’s dynamic world, fleet safety technology is a critical concern for fleet managers and drivers alike. Our innovative software solution elevates outward facing fleet dashcams beyond just recording devices, transforming them into intelligent systems capable of understanding and interpreting the road. Leveraging environmental perception, computer vision, and data fusion with Inertial Measurement Units (IMUs),

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AI contextual awareness for fleet dashcams to understand scene complexity and reduce false positives.

Vision-Based Safety: Reducing False Positives Generated by Fleet Dashcams with Cloud AI

In our last blog post, we delved into the transformative benefits of leveraging AI at the edge, exploring how it brings intelligence closer to devices and processes. Building on that discussion, we now turn our attention to another dimension of technological innovation: the integration of cloud computing in tandem with fleet dashcams and Computer Vision

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AI at the Edge Transforms Fleet Safety Technology with Video Telematics

Vision-Based Safety: AI at the Edge in Video Telematics

In the fast-evolving world of fleet management, video telematics has emerged as a game-changer. This cutting-edge technology combines video data and vehicle telemetry to offer comprehensive insights into fleet operations. As we navigate through the details of this technology, it’s crucial to weigh its advantages against its concerns. Let’s investigate how AI at the edge

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