Press Release
ACROSSSER & Nota AI Showcase Hardware-Aware AI at Embedded World 2025

Smarter road safety with Nota AI’s Driver Monitoring System powered by NVIDIA Jetson Orin NX on ACROSSER edge AI computing. 

  ACROSSER Technology , a global leader in edge computing platforms and embedded computers, today announced a strategic partnership with  Nota AI , a leading AI company specializing in AI model optimization and on-device AI solutions across various industries, including transportation, IoT, mobile, robotics, and beyond. To be showcased at Embedded World 2025 in Nuremberg from March 11–13, Nota AI’s state-of-the-art  Driver Monitoring System (DMS)  powered by the  NVIDIA Jetson Orin NX  platform on  ACROSSER EAC-30N  enables safer and smarter transportation with efficient AI models for edge AI applications.

Nota AI’s Compact and Cost-Effective DMS 
Lightweight and efficient, Nota AI’s DMS is designed to make advanced driver monitoring technology more accessible and affordable. At its core is  NetsPresso® , a hardware-aware AI model optimization platform for superior AI performance on embedded hardware. Nota AI provides professional AI services and licenses its software development kits (SDKs) for seamless integration of fully packaged DMS solutions in automotive and fleet management.

NVIDIA Jetson Orin NX
By pairing Nota AI’s compact DMS algorithm with the NVIDIA Jetson Orin NX’s 6/8-core Arm® Cortex®-A78AE v8.2 64-bit CPU, this solution delivers high performance at a low cost, making AI-powered driver monitoring accessible for a wide range of applications.

NVIDIA’s Jetson Orin NX is a powerful, energy-efficient AI computing platform designed for real-time edge AI applications such as driver monitoring. Nota AI’s DMS harnesses trailblazing AI capabilities to analyze driver behavior with low latency and high accuracy, making it an ideal solution for fleet management, autonomous vehicles, and smart transportation.

  • Powerful AI Processing – Up to 100 TOPS of AI performance enables real-time driver behavior analysis for enhanced safety and operational efficiency.
  • Energy Efficient – Designed for embedded systems, Jetson Orin NX provides AI acceleration while maintaining low power consumption, crucial for in-vehicle applications.
  • Edge AI Optimization – With high-speed inference capabilities, the platform ensures instant detection of driver fatigue, distraction, and risky behaviors.
  • Seamless Integration – Supports multiple camera inputs and sensor fusion for enhanced monitoring accuracy in diverse driving environments.

 

Nota AI x ACROSSER Edge AI Devices
Building on the successful deployment of Nota AI’s DMS with ACROSSER edge computing solutions at Smart Nation Malaysia, the partnership is now set to expand on a global scale. At Embedded World 2025, visitors will experience firsthand how next generation AI-powered driver monitoring takes road safety and operational efficiency to an unprecedented level.

All Roads Lead to Embedded World 2025
Experience Nota AI’s DMS in action at Embedded World 2025:

  • Live demonstrations showcasing AI-powered driver behavior detection.
  • Groundbreaking edge AI solutions optimized for smart transportation.
  • Expert discussions on the future of AI-driven mobility.

To schedule an appointment with us during Embedded World 2025 or request a free ticket to join us, contact us at  sales@acrosser.com

About ACROSSER Technology
Founded in 1987, ACROSSER Technology is a trusted partner for industries such as manufacturing and transportation seeking reliable, rugged, and high-performance industrial computing solutions to accelerate growth and efficiency. The company’s innovative embedded computers help customers globally to streamline R&D and achieve market leadership while empowering an intelligence-driven future through edge computing.

About Nota AI
Nota AI® (Nota Inc.) is a leading AI technology company specializing in on-device generative AI and AI model optimization, empowering devices with high-performance AI capabilities through our proprietary NetsPresso® platform.

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