Mouser Highlights Power Management as a Key Enabler for Industrial Edge AI

Power system design is one of the biggest challenges for engineers as manufacturers start to use AI on machines, production lines and industrial assets located in the field. To help engineers create reliable power architectures for industrial edge AI applications, Mouser Electronics has combined its AI Resource Hub with its Power Management Resource Hub.

Edge AI is a type of AI that processes data in real-time, at the point of data creation – within the machine, in the sensor or in the industrial equipment. AI inference is a continuous process in applications like predictive maintenance, machine vision, anomaly detection and smart sensing, which may be in hard-to-reach or less dependable locations. This generates very dynamic power demands, which were not designed for by the conventional embedded systems.

Mouser’s resource hubs offer engineers technical information on AI development as well as power management. The resources feature articles, white papers, eBooks and practical design examples related to TinyML, AI in microcontrollers, power management ICs, battery-backed designs, energy harvesting, solar-powered edge systems, and DC microgrid design.

The platform also includes focus on challenges encountered in real-life industrial deployment. Engineers will have access to information on how to manage variable loads, multi-rail power systems, voltage protection for AI equipment, and battery-powered or off-grid automation system reliability. These power-related factors are increasingly important as more industrial AI applications shift from pilot projects to production, aiming to deliver reliable performance in the field.

The project is part of a larger movement in industrial automation. Although most of the discussion on AI is about algorithms and computation, there are several supporting technologies which are becoming vital to the successful deployment of AI, including power electronics, energy management and system reliability. Edge AI is spreading through factories, warehouses, utilities and critical infrastructure, and good power architecture is as vital as the AI models to reliable, production-ready industrial intelligence.