Telematics Solutions: Powering Connected Mobility

An extensive portfolio of Telematics Products powering various connected automotive applications including fleet management, predictive maintenance, asset tracking, automotive diagnostics while also enhancing safety and experience.

Electric Vehicle Telematics

Telematics in electric vehicles track real-time data on battery health, charging, energy consumption, and driving patterns. iWave offers advanced telematics solutions with edge processing, wireless connectivity, and over-the-air (OTA) updates for vehicle components, optimizing performance and enhancing driver insights. An extensive portfolio of feature rich Telematics solutions from iWave enables edge processing of the data with a plethora of wireless connectivity options.

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Off-Road Machinery and Heavy-Duty Trucks

Telematics in heavy-duty trucks and off-road machinery provides real-time tracking of vehicle location, fuel consumption, engine performance, maintenance needs, and operator behavior. It enables fleet optimization, reduces downtime, improves safety, and enhances operational efficiency across challenging work environments. The Rugged Telematics Device  is a ruggedized IP67 Solution with 3 CAN Ports, LTE Cat-4 and Wi-Fi connectivity, external antennas and robust security features.

V2X: Safety and Connectivity

Vehicle-to-Everything (V2X) communication enables vehicles to exchange data with infrastructure, other vehicles, pedestrians, and networks in real-time. This technology enhances road safety, improves traffic efficiency, supports autonomous driving, and enables smarter, more connected transportation ecosystems with advanced wireless connectivity.The iWave V2X On-Board Unit and Road Side Unit is built with the necessary connectivity options to power such V2V, V2I and V2N use cases.

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Predictive Maintenance in Automotive

Powerful and compact Telematics Connect Hub with Linux and edge processing capability powers more intelligence on the automotive edge. Edge processing enables real-time data analysis directly on vehicle systems, allowing immediate detection of potential mechanical issues before they escalate. By processing sensor data at the source, edge computing reduces latency, enhances diagnostic accuracy, and enables proactive maintenance strategies that minimize vehicle downtime and optimize overall performance.

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