The standard way, till now, for users of the RideView platform has been to integrate our secure RESTApis into their existing end-user dashboards, adding a layer of video and associated analytics on top of existing telematics data and workflows.

The correct choice of dashcam hardware is the key first step to building a video telematics solution that meets the needs of end-users.

The roll-out and extensive coverage of 4G networks globally have been one of the key tailwinds pushing the connected vehicle ecosystem forward, including the adoption of video telematics.

LightMetrics’ advanced video telematics platform RideView is enabled through the combination of an SDK running on an edge device, and backend API services running on the cloud.

The fastest-growing segment in aftermarket telematics is video telematics, riding strong tailwinds.

As a video telematics platform evolves, there is a tendency to obsess about adding new features that will, purportedly, add more value to the end-user.

The generation of data at scale, and the actionable insights that one can derive from them, have revolutionized industries and business across a wide spectrum of the digital economy.

Cameras are fast becoming ubiquitous in commercial fleets, especially from a driver exoneration point of view.

Any discussion on the uses of AI in most domains is dominated by a very technology-centric perspective, with the benefits seen as overwhelming and indisputable, and the embrace assumed to be inevitable.