Smart Tyres
Lupital

Based on deep learning-based multi-sensor algorithm fusion technology for temperature, pressure, vibration, and wheel speed, real-time perception of the safety status of tires throughout their entire life cycle is achieved.

It fully adopts the new generation of low-power, low-latency, high-concurrency BLE5.0 communication technology to achieve stable acquisition of all vehicle signals without single host coverage.

Based on a self-developed tire vibration dynamics model and integrating vibration data analysis from over 200,000 tires throughout their entire lifecycle, an effective big data model for tire risk identification combining theory and AI has been constructed.

Through vibration analysis and algorithm modeling, complex working conditions such as dryness, slipperiness, and ice and snow are identified, enabling intelligent vehicles to achieve tactile perception and assist driving safety decisions.

It supports CAN bus interface to achieve the integration and collaboration of real-time tire data with active safety systems such as ABS and ESP.

An efficient asset management and risk warning platform that supports the storage and display of multi-dimensional big data such as fleet vehicles, tires, and travel trajectories. It can also provide personalized platform design and optimization services according to needs to continuously improve system performance.