Enabling Seamless Vehicle Diagnostics and Telematics with Cavli C10QM Cellular IoT Modules

Case Study Overview

A prominent organization operating in the automotive domain leverages our technology to deliver advanced vehicle connectivity, real-time data acquisition, and intelligent analytics. By integrating our solution, they have enhanced their ability to monitor fleet performance, optimize routing efficiency, and ensure predictive maintenance, ultimately improving operational productivity and customer satisfaction.

Fleet operators require continuous visibility into vehicle health, location, and sensor telemetry to optimize maintenance and minimize downtime. Onboard units must stream engine diagnostics, tire pressure, fuel levels, and performance metrics in real time—enabling predictive alerts before faults occur. Cavli’s C10QM module (LTE Cat 1/2G, optional eSIM, integrated GNSS, Yocto Linux SDK with FOTA, Arm A7 @ 1.3 GHz, 256 MB RAM/512 MB ROM, LGA) embeds seamlessly into telematics control units. Its reliable cellular link and GNSS positioning feed data to cloud dashboards via Cavli Hubble, where operators monitor fault codes, schedule service visits, and analyze usage patterns. This end-to-end solution transforms maintenance cycles from reactive to proactive—reducing unplanned repairs, extending vehicle lifespans, and improving fleet availability.

Building on these foundational strengths, the C10QM module automatically performs intelligent network handovers between LTE and 2G to maintain uninterrupted connectivity, even in areas with fluctuating signal strength or dense urban canyons. This guarantees continuous telemetry streaming critical for real-time decision-making. By prioritizing uplink performance, our solution maintains sub-100 millisecond latency to ensure prompt detection of fault codes and immediate alert dispatch, enabling rapid response to emerging vehicle issues. Embedded machine-learning algorithms analyze sensor data on-device, forecasting component degradation and triggering maintenance alerts before failures occur, reducing costly downtime and optimizing workshop scheduling.