Vision-Based Safety

Vision-based AI

Seeing Clearly: Ethical Leadership in Vision-Based AI

As I stood before a room full of eager minds at a job fair last year, I was struck by a question from a young developer:  “How can we ensure our AI innovations are ethical and fair?”  This question has lingered with me, not just because of its complexity, but because it underscores the very […]

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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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