Today’s modern world increasingly relies on smart and real-time solutions. Vision AI applications like smart cameras, retail analytics, machine vision for inspection, and security are some of the many applications that can benefit from a compact and ready-to-use development platform designed to bring these innovations to market seamlessly.

The requirements for today’s microcontrollers are increasing, with growing demands for improved power efficiency, real-time networking capabilities, and reliable processing and compatibility for vision and audio tasks. Applications relying on these must often shift away from traditional MCUs and toward modern microcontrollers that are capable of handling higher-performance computing, AI acceleration, and more.

Today, there is a continuous need for low-power wireless connectivity solutions that can provide energy efficiency and high performance in demanding applications, ranging from smart homes and lighting to portable medical devices and AI/ML. These solutions are often faced with performing complex tasks while supporting communication protocols reliably and flexibly.

Today’s advanced motor control technologies, ranging from industrial to smart city and smart home applications, can benefit from an efficient and robust platform that combines rapid prototyping capabilities with integrated hardware and software solutions.

Mouser Electronics, Inc. will be located at Booth #5239 during Automate 2025, May 12 through 15, at the Huntington Place Convention Center in Detroit, Michigan, showcasing innovations in industrial solutions. Visitors will learn from Mouser experts as they provide the series, Empowering Innovation Together, examining topics affecting engineering design.

Next-generation energy systems demand advanced solutions capable of delivering efficient power conversion, reliable system performance, and exceptional thermal stability, all in a compact and accurate design for modern power semiconductor technologies.

Today’s developers are expected to bring the power and performance of machine learning to the edge. This is possible with the help of a development platform capable of evaluating and prototyping applications like edge computing, industrial automation, smart devices, and automotive applications, which increasingly demand use cases like low power consumption and machine learning acceleration.