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The Rise of DaaS in Telematics: How Fleets Are Monetizing Video Data with Visual SLAM

Data Services, Vision-Based AI /

When we founded Peregrine in 2018, my co-founders and I had just spent years working on self-driving car initiatives across Silicon Valley and Europe. Looking at the broader mobility landscape, we noticed a glaring disconnect: commercial vehicles were being outfitted with cameras at a rapid pace, yet those cameras were fundamentally “dumb.” They were defined […]

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Comparison of expensive LiDAR hardware versus Peregrine Visual SLAM software on a standard camera. We are living through a pivotal moment in machine perception. For the last decade, the prevailing wisdom in autonomous driving and advanced robotics was simple: if you want a machine to truly understand the 3D world around it, you need LiDAR.

Visual SLAM vs. LiDAR: Achieving Spatial Intelligence Without the Hardware Tax

Labs /

We’ve all seen the prototype vehicles outfitted with spinning laser arrays on their roofs. They are engineering marvels, spinning tens of thousands of dollars’ worth of delicate hardware to generate precise, dense point clouds of their environment. In a controlled R&D setting with unlimited budgets, LiDAR is spectacular. But the real world doesn’t operate on

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Multitask Neural Networks: The Hidden Power Behind AI’s Most Advanced Visual Systems

Vision-Based AI /

When you look at a photograph, your brain instantly recognizes faces, objects, and even the depth and context of the scene. How can AI achieve the same level of understanding? The answer lies in multitask neural networks (MTNNs)—a powerful tool revolutionizing how machines interpret the world. Whether enabling autonomous vehicles to navigate, enhancing smart surveillance,

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AI at the Edge Transforms Fleet Safety Technology with Video Telematics

Fleet Safety Technology: AD Technology on Fleet Dashcams

Vision-Based Safety /

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

Vision-Based Safety /

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

Vision-Based Safety /

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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