Advanced embedded artificial intelligence (AI) and tiny machine learning (TinyML) solutions for small microcontrollers (MCUs) and microprocessors (MPUs) with Reality AI tools.
Renesas Electronics Corporation has provided an update on the advancements it has made in the field of artificial intelligence (AI) and tiny machine learning (TinyML) solutions since the acquisition of Reality Analytics, Inc. (Reality AI), a prominent provider of embedded AI technology. One year ago the acquisition was driven by the compatibility of Reality AI’s diverse range of embedded AI and TinyML solutions, particularly in the realm of advanced non-visual sensing for automotive, industrial, and commercial products, with Renesas’ existing offerings in embedded processing and the Internet of Things (IoT). Within a mere year following the initial announcement, Renesas has successfully introduced an extensive array of solutions using Reality AI technology. These include Reality AI Tools, RealityCheck Motor Toolbox, RealityCheck Heating, Ventilation, and Air Conditioning (HVAC) Solution Suite and Automotive Safety Warning System (SWS) Solution Suite.
According to the press release issued by the company, the solutions integrate machine learning capabilities with advanced signal processing algorithms, enabling efficient and rapid machine learning inference on small microcontrollers (MCUs) as well as more powerful microprocessors (MPUs). The company claims that within AI Tools, users can leverage analytics to identify the most suitable sensor or combination of sensors, determine optimal sensor placement locations, and automatically generate component specifications. The press release highlights that the HVAC Solution Suite provides an all-in-one solution for the HVAC industry. It includes a hardware and firmware reference design, pre-trained machine-learning models, and a streamlined process for model training, customization, and field testing. The company says that the Automotive SWS Solution Suite features an integrated Microelectromechanical Systems (MEMS) microphone array and efficient automotive MCUs with AI detection and localization software. AI models accurately detect and classify threats, including sirens (1.5km), vehicles (35m+), bicycles, and joggers (10m), providing precise localization.
“We believe the convergence of AI and IoT is creating a significant inflexion point as customers increasingly move intelligence to the endpoint,” said Sailesh Chittipeddi, Executive Vice President and General Manager of Renesas’ Embedded Processing, Digital Power and Signal Chain Solutions Group. “The addition of the unique and powerful technology from Reality AI into our portfolio enables our customers to process and react to information faster, more accurately, and with fewer compute and power resources than ever before.”
