RedfoxID
Quantum Hybrid

Quantum HYBRID combines multiple sensor technologies (loops, piezos, LiDAR) affording system designers greater flexibility in meeting customer specifications. The first HYBRID sites have been in full revenue since early 2023.

Quantum HYBRID provides a safe migration path from axle based classification to overhead shape based classification systems with fully quantifiable revenue risk.

≥99.96 detection and up to 99.8% axle classification for a LiDAR/piezo hybrid solution

Shape based classification accuracy depends on class table requirements

Quantum HYBRID Features

Supported lane types

Quantum Hybrid

Common Features

Quantum HYBRID projects underway

219 lanes installed in Ohio, 150+ lanes in Texas.

This is a loop based system, but uses LiDAR for roof and maximum height and as a backup system should the loops enter a degraded state.

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