The Real-Time Edge Intelligence Solutions Handbook
A Practical Framework for Building Commercial Edge Systems based on Physics and Mathematics
The Real-Time Edge Intelligence Solutions Handbook defines a new design workflow for intelligent edge systems, extending today’s Edge AI capabilities into a more disciplined and reliable engineering approach. At its core is Real-Time Edge Intelligence (RTEI) — a framework that unifies deterministic DSP, intelligent data-conditioning, and modern AI workflows into a single, coherent methodology that moves beyond traditional design paradigms. RTEI emphasizes predictable behaviour, interpretability, and standards-aligned design, reflecting the needs of compliance-driven sectors shaped by ISO and IEC requirements.
Built upon the expertise of industry experts with a strong track record of delivering commercial-grade systems, this handbook provides software and system architects, product designers and researchers with a state-of-the-art overview of design methods, toolchains and workflows for building robust, explainable, and verifiable Real-Time Edge Intelligence solutions on Arm-based processors.
Deterministic DSP & Signal Processing
Design of stable, interpretable signal-processing chains that provide reliable features for real-time embedded systems.
Embedded AI & Machine Learning
Integration of data-driven models with engineered features to enable adaptive, context-aware behaviour under controlled conditions.
Hardware, Tools & Deployment
Implementation on Arm Cortex-M platforms using professional design tools, CMSIS-DSP, and CMSIS-NN for real-time embedded deployment.
Standards, Validation & Applications
Engineering workflows aligned with IEC/ISO requirements, demonstrated through real-world case studies in medical, industrial, and smart-grid systems.
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