BlueOS
Custom embedded operating system built on Yocto Project, engineered for AI integration and industrial computing excellence. Optimized for real-time performance and seamless AI framework deployment.
Discover BlueOSBuilt for AI. Engineered for Industry.
BlueOS is our custom embedded operating system specifically designed to power the OmniCore Q series and other AI-driven industrial computing solutions. Built on the robust foundation of the Yocto Project, BlueOS combines the flexibility of open-source Linux with our proprietary optimizations for AI workloads.
Unlike generic embedded systems, BlueOS is purpose-built for industrial AI applications. Every component—from the kernel to the application layer—is optimized to deliver maximum performance for neural network inference, computer vision processing, and real-time decision-making in manufacturing environments.
Our operating system seamlessly integrates with Hailo AI accelerators and other NPU hardware, providing low-level drivers and optimized libraries that enable developers to deploy AI models with minimal latency and maximum efficiency.
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Powered by Yocto Project
The Yocto Project provides the foundation for BlueOS, ensuring a reliable, maintainable, and customizable embedded Linux distribution. This industry-standard framework allows us to create a minimal, optimized OS footprint while maintaining full control over every component.
By leveraging Yocto Project's build system, we can precisely configure the kernel, select only necessary packages, and optimize the entire software stack for our specific hardware platforms. This results in a lean, fast-booting system that consumes minimal resources while delivering maximum performance.
Our custom Yocto layers include:
- Optimized kernel configuration for real-time performance
- AI framework integration layers (TensorFlow Lite, ONNX Runtime)
- NPU driver support and optimization
- Industrial communication protocol stacks
- Security hardening and update mechanisms
BLUEOS FEATURES
AI-FIRST ARCHITECTURE.
BlueOS is designed from the ground up for AI workloads. With native support for TensorFlow Lite, ONNX Runtime, and optimized NPU drivers, deploying AI models is seamless and efficient. The OS includes pre-configured AI runtime environments that eliminate setup complexity.
REAL-TIME PERFORMANCE.
Built with PREEMPT_RT kernel patches and optimized scheduling, BlueOS delivers deterministic real-time performance critical for industrial automation. Low-latency interrupt handling ensures AI inference happens within strict timing constraints.
Custom Kernel Optimizations
Kernel tuned specifically for AI workloads with optimized memory management, I/O scheduling, and CPU frequency scaling.
NPU Integration
Native support for Hailo-8 and other AI accelerators with optimized drivers and runtime libraries for maximum throughput.
Security Hardened
Built-in security features including secure boot, encrypted storage, and regular security updates for industrial environments.
Industrial Protocols
Pre-integrated support for Modbus, Profinet, OPC UA, and other industrial communication standards.
OTA Updates
Over-the-air update system for remote maintenance and feature deployment without production downtime.
Developer Tools
Comprehensive SDK with debugging tools, profiling utilities, and documentation for rapid application development.
TECHNICAL SPECIFICATIONS
BASE SYSTEM.
- Linux Kernel 6.x (PREEMPT_RT)
- Yocto Project (Kirkstone/Dunfell)
- Systemd or custom init system
- Minimal footprint (~200MB base)
- Fast boot time (< 10 seconds)
AI FRAMEWORKS.
- TensorFlow Lite 2.x
- ONNX Runtime
- OpenVINO (Intel platforms)
- Hailo Runtime SDK
- Custom AI inference APIs
Contact Us
Interested in BlueOS for your industrial AI project? Let's discuss your requirements.
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Our team can provide detailed technical specifications, licensing information, and customization options for BlueOS tailored to your specific industrial computing needs.
Phone
+886-910922676
Address
362-364 Minzu 1st Road, Sanmin District, 807 Kaohsiung City, Taiwan