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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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AI Regulatory Divide EU vs. US

Navigating the AI Regulatory Divide: Insights and Strategies for Businesses in the EU & US

As artificial intelligence (AI) continues to drive innovation across industries, the regulatory landscape is struggling to keep pace. Businesses operating in the AI space are caught between divergent regulatory approaches, particularly between the European Union (EU) and the United States (US). Understanding these regulatory frameworks and devising strategies to navigate them is crucial for success

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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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