POPTELEMETRY QUANTUM AI ECU
Edge computing telemetry hardware processing multi-channel sensor arrays at 10,000 samples per second with on-board predictive vehicle dynamics estimation.
EDGE COMPUTING IN HIGH-G MOTORSPORT
Modern racing produces more data than can be transmitted over legacy RF links in real time. The PopTelemetry Quantum AI ECU processes 240 distinct analogue and digital telemetry channels directly at the edge, utilizing custom neural network weights pre-trained on tens of thousands of track laps.
Predictive Slip & Thermal Modeling
By computing instantaneous tyre carcass deflection, brake rotor infrared temperatures, and wheel angular acceleration differences, the ECU predicts loss of mechanical grip 80 milliseconds prior to physical onset. This enables micro-modulations to torque vectoring controllers and active suspension dampers, elevating corner apex stability.
| Processing Benchmark | Metric |
|---|---|
| Neural Inference Engine | 32 TOPS INT8 Edge Compute Core |
| Sensor Polling Rate | 10 kHz Synchronous |
| Data Storage | 1 TB NVMe Solid-State Ruggedized Array |
| Connectivity | Dual 5G Ultra-Low Latency + Gigabit CAN-FD |
| Chassis Enclosure | CNC Billet Aluminum (IP68 Waterproof) |
INTEGRATION SDK
Supplied with full Python, C++, and MATLAB/Simulink APIs for rapid integration into existing team telemetry suites.
Request SDK Documentation