With edge AI technologies today, embedded computing platforms are integrated into vehicles to enable intelligent decisions and functions with automation applications for safer and efficient operations. However, there are several in-vehicle condition challenges when integrating an computer, such as electrical power source, operating temperature, shock and vibration.
Neousys designs and manufactures rugged embedded and GPU-aided computers. With core expertise in mechanical and thermal designs, we offer rugged embedded GPU solutions ranging from NVIDIA Jetson SoM to NVIDIA RTX series professional cards for AI in-vehicle applications.
Neousys Platforms for ADAS and Autonomous Driving
We offer embedded computers and an all-in-one rugged HPC solution for sensing, perception, and planning for autonomous driving solutions.
Sensing
NRU series fanless edge AI computers are powered by NVIDIA Jetson SoM and support GMSL/ GMSL2 automotive cameras that can act as camera sensor hub to gather synchronized sensor data from automotive GMSL cameras, Lidar, and GPS.
Perception
Nuvo-8x08GC series rugged GPU computers support high-end NVIDIA RTX 30 series/ RTX A6000/ A4500 GPU to provide real-time inference for multiple AI models, such as pedestrian detection, lane detection or vehicle movement prediction.
Planning
Fanless embedded computers powered by Intel CPU as in-vehicle controllers to provide inference analytics and rule-based decisions.
All-in-one Rugged Edge HPC Solution
Neousys' rugged HPC edge server - RGS-8805GC features an AMD EPYC server-grade CPU with up to 64 cores, 128 threads, and supports an NVIDIA® RTX A6000, RTX 3080, or Tesla T4. And by adding on a Neousys PCIe-GL26, the frame grabber card, it can act as a camera sensor hub by connecting to six GMSL2 automotive cameras for sensing.
More than just a frame grabber card, the PCIe-GL26 can also harness the 21TOPS of AI analytic processing power of NVIDIA® Jetson Xavier™ NX for perception. The RGS-8805GC addresses the need for processing multiple complex AI modules while still offering plenty of computing for planning and SLAM.(Learn More)
IP67 Waterproof Rugged Computers for Extreme Conditions
Designed for extreme environments, the IP rated computers feature stainless steel chassis, M12 connectors, and support NVIDIA® RTX A2000/ Tesla T4 and Intel® 9th-Gen Core™ for AI inference applications.
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Fanless Embedded Computers for Off-road Vehicles
Ranging from Intel® 12th-Gen Core™, Intel® Atom® to NVIDIA® Jetson SoM, Neousys computers feature fanless wide-temperature operations, from -25°C up to 70°C. With wide-range DC input, M12/ RJ45 Gigabit PoE+ connectors, and expansion for wireless communication modules, they are ideal for aftermarket in-vehicle applications.
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Neousys Countermeasures and Product Features
Temperature
Best-in-class thermal design. Guaranteed wide temperature operation and optimum system performance for field deployment.
Shock & Vibration
Comprehensive mechanical design and patented damping bracket to withstand intensive shock and vibration conditions.
Power
Accepts 8 to 48V wide-range DC input for in-vehicle deployments. Supports patented SuperCAP UPS to prevent power interruptions and outages.
Dust, Water, Salinity
IP67 and IP65 fanless rugged computers endure climatic conditions and are ideal for modern edge applications.Download Our Case Study eBook
Find out how our customers successfully implement Neousys platforms into their autonomous industrial vehicles:
- Autonomous Agriculture Tractor
- Autonomous Landmine Detection & Marking Vehicle
- Autonomous Cleaning Vehicle
- Autonomous Middle Mile Delivery Truck
- Autonomous Mining Truck
- Long-haul Autonomous Semi-trailer
On-demand Webinar:
Industrial Vehicles Empowered by GPU/Non-GPU Aided Edge Computers – Challenges, Insights, and Applications
Discover our lineup of embedded systems that struck the right balance between design challenges, computation performance, pricing, longevity and time to market. In this video you will learn:
- What are the challenges of industrial vehicle deployment
- Why Neousys embedded computing design benefit industrial vehicle applications
- How to select an in-vehicle GPU/ Non-GPU aided edge computer for your application
2022 Edge AI GPU Computing Platform (NEW!)
