Acceed's Dust and Temperature Resistant NRU-160-FT Edge AI System

[Ahmet Ö.]

## Acceed's Robust NRU-160-FT Edge AI System

Acceed has introduced the NRU-160-FT edge AI computer, designed for industrial and outdoor conditions, resistant to dust, heat, and vibration. This system enables data analysis directly at the point of processing in applications such as robotics, automation, transportation, and construction machinery.

### Superior AI Processing Power

• Powered by NVIDIA Jetson Orin modules, the NRU-160-FT supports Orin NX and Orin Nano options.
• It offers AI performance up to 100 INT8 TOPS.
• It can process 18 Full HD video streams simultaneously and provides low power consumption (approximately 25 W).
• Thanks to CUDA and Tensor cores, neural network models can be run on the device in real-time.

### Fanless, Reliable Cooling

• The system features a special fanless and filterless conduction cooling design.
• This design dissipates heat to the outside of the casing, enabling stable operation in enclosed or sealed environments.
• The operating temperature range is between –25°C and +70°C without performance degradation.

### Industrial Connectivity and Sensor Integration

• The NRU-160-FT is suitable for camera and sensor integration in mobile and industrial applications.
• It supports up to six GMSL2 cameras and multiple Gigabit Ethernet ports (including PoE-enabled IP cameras).
• This is ensured by robust M12 connectors.
• Pre-installed drivers are available for common image sensors.

### Power Management and Mobility

• A wide input voltage range of 8 to 35 V is suitable for vehicle use.
• It offers automatic power on/off control via the vehicle's ignition switch.
• It supports communication modules such as 5G via CAN-FD, RS-232, mini-PCIe, and M.2 expansion slots.

### Compact Design and Flexible Installation

• With dimensions of 199 × 136 × 49 mm, it is suitable for installation in confined spaces.
• It can be mounted within enclosed housings, with heat dissipation provided through the outer surface.
• It can be used in areas such as construction and agricultural machinery, autonomous vehicles, logistics systems, and road infrastructure monitoring.

### Operational Efficiency and Cost Advantage

• The fanless design and low power consumption save energy.
• It reduces operating costs with a longer system life and low maintenance requirements.

### Sectoral Importance and Future Outlook
The NRU-160-FT reflects the trend of edge AI systems that can operate reliably in harsh field conditions. By bringing real-time data processing to the source, it reduces latency and speeds up response times in industrial and mobile applications. With the increasing demand for real-time analysis and autonomous systems, robust edge computers will form an important bridge from the lab to the field.