Automotive
Vehicle-Road-Cloud
Vehicle-Road-Cloud
ESWIN Computing’s RISC-V based Vehicle-Road-Cloud solutions integrate intelligent connectivity and edge intelligence modules, delivering efficient and reliable vehicle-road collaborative services for smart transportation systems, propelling urban mobility toward a smarter, smoother, and safer future.
Vehicle-Road-Cloud
Deep Customization
Deep Customization
Leverages RISC-V computing architecture for hardware-level deep customization tailored to specific requirements.
High-Efficiency Computing
High-Efficiency Computing
Delivers 20TOPS AI computing power under low power consumption, handling diverse Vehicle-Road-Cloud tasks.
Real-Time Communication
Real-Time Communication
Features high peak data rates and ultra-low system latency, enabling millisecond-level response for seamless traffic data interaction.
High Integration
High Integration
Integrates multiple built-in modules and peripheral components, helping customers enhance their overall competitiveness.
Smart Connectivity

Smart Connectivity

With 5G small cell and C-V2X (Vehicle-to-Everything) communication technologies (V2V, V2I, V2P, V2N), it enables full-scale interconnection among vehicles, infrastructure, pedestrians and networks.
Integrates 64-bit RISC-V processors with 4G/5G/V2X wireless communication, offering high-speed, low-latency connectivity.
C-V2X system latency <20ms, ensuring safe and efficient vehicle-road collaborative communication.
Innovatively applies 5G reconfigurable SDR (Software-Defined Radio) technology to meet multi-frequency, multi-bandwidth, and wide-coverage connectivity demands.
Edge Intelligence

Edge Intelligence

Develops MEC (Multi-Access Edge Computing) hardware terminals based on RISC-V architecture, leveraging low-power, high-performance scalability, and modular design.
Utilizes open-source instruction sets for flexible adaptation to diverse roadside computing needs.
Delivers 20TOPS AI computing power under low power consumption, ideal for smart traffic signal optimization and vehicle-road collaborative computing.
Supports scalable instruction sets with task-specific acceleration (e.g., AI inference, video analytics, sensor data processing) to boost energy efficiency.
Provides a complete toolchain compatible with Debian, Ubuntu, OpenKylin OS, streamlining software deployment for roadside units.