Telit Cinterion Powers FleetSafe.ai AI Video Telematics

Telit Cinterion has announced that its NExT™ IoT eSIM solutions are powering FleetSafe.ai’s artificial intelligence (AI) video telematics deployment in the 2026 British Truck Racing Championship (BTRC). The partnership is intended to demonstrate how commercial fleets can scale real-time, data-intensive applications across demanding, high-vibration motorsport environments.

Real-Time Video Streaming and Multiprofile Connectivity
The updated video telematics platform developed by FleetSafe.ai requires continuous, high-bandwidth data transmission and reliable network connectivity under varying environmental and track conditions. The deployment highlights how fleet operators can leverage real-time video analytics to monitor driver behavior and enable response times during on-track incidents.

Within the championship, each racing truck is outfitted with FleetSafe.ai’s AI-powered in-cab and external cameras. These components provide continuous monitoring of driver behavior and fatigue alongside live video streaming and telemetry diagnostics. To stream large volumes of video data across changing locations, the system integrates Telit Cinterion’s NExT IoT eSIM, which incorporates multiprofile technology. This allows the eSIM to dynamically switch between alternative network operator profiles based on geographic location, predefined automated rules, and commercial cost metrics to preserve an uninterrupted data flow.

Centralized Management and Scalable Fleet Operations
FleetSafe.ai manages the hardware infrastructure through the NExT connectivity management platform, a cloud-native connectivity and eSIM management portal. The portal provides the technical team with a single, centralized control plane for end-to-end operational visibility across the complete tournament deployment.

The centralized platform provides real-time access to several core operational data points:

The platform utilizes policy-driven remote activation protocols and automatically issues alert logs upon detecting anomalous data consumption parameters, supporting automated fleet operations. By leveraging this unified commercial and technical framework, FleetSafe.ai avoids managing multiple regional SIM vendors, specific Access Point Names (APNs), and disjointed regional carrier contracts, reducing system integration complexity while accelerating deployment scaling.

Additional Context
This section details technical specifications not included in the original news release.

Industrial video telematics platforms running edge-computed AI algorithms rely on robust cellular connectivity to process and stream high-definition video feeds. In high-speed automotive and motorsport environments, a single cellular carrier profile is prone to frequent dropped connections and packet degradation caused by localized cell tower handoff latency and terrain shielding. Embedded SIM (eSIM) architectures address this vulnerability by replacing physical plastic SIM cards with an integrated circuit chip soldered directly onto the device's printed circuit board, conforming to GSMA M2M or IoT technical specifications.

The underlying software mechanism depends on Remote SIM Provisioning (RSP) capabilities governed by secure Subscription Manager Data Preparation (SM-DP) and Subscription Manager Secure Routing (SM-SR) servers. When a telematics control unit encounters low signal-to-noise ratios or a high block error rate (BLER) on a primary carrier network, the onboard connection rules trigger an automatic profile swap.

The eSIM switches its active international mobile subscriber identity (IMSI) profile within seconds without mechanical intervention, authenticating against a new carrier's core network. Concurrently, the video transmission protocol adapts its bitrate dynamically using H.265 (HEVC) compression or AV1 encoding paired with Secure Reliable Transport (SRT) or Real-Time Messaging Protocol (RTMP) data streams, minimizing latency over cellular bands while maintaining video frame clarity for remote automated diagnostics.

Edited by Romila DSilva, Induportals Editor, with AI assistance.