In Bringing Intelligence to the Edge: Designing Industrial IoT Applications with TinyML, six thought leaders from Mouser and Renesas offer in-depth insights into how machine learning can be used to enhance the design of industrial IoT (IIoT) solutions. The ebook includes eight articles covering topics such as AI in IoT endpoints, machine vision processing, and endpoint AI in embedded vision applications.

The rapid advancement of IoT technologies has improved productivity and quality of life both at home and in the workplace. For IIoT applications, the introduction of AI and machine learning will lead to new use cases and fundamentally change how engineers design new solutions. The application of AI and machine learning is especially promising for highly constrained environments, now known as TinyML. Increased use of AI in IIoT design will result in devices that are less dependent on external systems, enabling them to make decisions without external input or assistance. TinyML will also allow IIoT devices to process large datasets, leading to greater efficiency and new applications.

The ebook includes quick links to a range of Renesas Electronics products, focusing on microcontrollers (MCUs) and microprocessors (MPUs). These include the entry-level, high-precision RZ/V2L AI MPUs, the RA4E1 MCU group for connectivity and security, the RA6M3 MCU group designed for low power consumption and efficiency, and the RA4M3 MCU group, which offers a balance between performance and cost-effectiveness.