One year after announcing the acquisition of Reality Analytics, Inc. (Reality AI), a leading embedded AI provider, Renesas Electronics Corporation announces its progress in offering Artificial Intelligence (AI) and Tiny Machine Learning (TinyML) solutions provided up-to-date information about
On June 9, 2022, Renesas announced that it would acquire Reality AI in an all-cash transaction. Reality AI’s wide range of embedded AI and TinyML solutions for advanced non-visual sensing in automotive, industrial and commercial products are well-matched with Renesas’ embedded processing and IoT products. They provide machine learning with advanced signal processing mathematics, enabling fast and efficient machine learning inference that fits on small MCUs and more powerful MPUs. A software environment built to support the entire product development lifecycle, Reality AI Tools® enables users to automatically explore sensor data and generate optimized models. Reality AI Tools includes analysis to find the best sensor or combination of sensors, where to place sensors, automatic generation of component specifications, and a model function that is fully explainable in terms of the time/frequency domain. It contains.
In just one year since its introduction, Renesas has provided a wide range of solutions based on Reality AI technology. The following products will be announced at Renesas Booth #945 at the Sensor Converge Trade Show, June 20-22 at the Santa Clara Convention Center.
Reality AI Tools are tightly integrated with Renesas compute products and natively support all Renesas MCUs and MPUs with a built-in part picker engine. There is also support for automatic context switching between Reality AI Tools and Renesas’ flagship embedded development environment, e2Studio.
RealityCheck™ Motor Toolbox, an advanced machine learning software toolbox, uses electrical information from motor control processes to enable the development of predictive maintenance, fault detection, and smart control feedback without the need for additional sensors. increase. This enables early detection of small fluctuations in system parameters that indicate maintenance issues or anomalies, reducing downtime. The software works seamlessly with Renesas MCUs, MPUs, and motor control kits, and is fully integrated with Reality AI Tools to create, validate, and deploy sensor classification or predictive models at scale. This feature is a toolchain built on ready-to-use predictive models by using the Reality AI toolchain for developers.
The RealityCheck™ HVAC Solution Suite is a vertically integrated solution suite for the HVAC industry. The solution includes hardware and firmware reference designs, a set of pre-trained ML models that can be leveraged in product design, and a clear overview of model training, customization, and field testing to meet specific product requirements. It is a comprehensive framework that includes processes that are This advancement has greatly improved the efficiency of HVAC systems.
The Automotive SWS Solution Suite uniquely combines both hardware and software to provide a new level of protection for your occupants. The suite comes with a MEMS microphone array integrated into the component or placed on the roof. Flexible geometry automotive MCUs run AI detection and location software on inexpensive hardware. AI models accurately detect and classify various threats at distances of 1.5 km for sirens, over 35 m for cars, trucks, and motorcycles, and 10 m for bicycles and joggers. Localization is provided through AI models that calculate angles of arrival, estimate distances, and detect whether threats are approaching or moving away.
Customers in a wide range of industries adopt Renesas AI solutions for a variety of applications. For example, ITT Goulds Pumps Inc. implements data analytics using Renesas AI technology. “The unique capabilities of Renesas AI technology allow us to develop machine diagnostics that effectively identify equipment faults caused by high vibration and temperature,” said Brad DeCook, research and development director for monitoring and controls at the company. I was able to do it,” he said.
Sairesh Chittipedi, executive vice president and general manager of Renesas Embedded Processing, Digital Power and Signal Chain Solutions Group, said: “The addition of Reality AI’s unique and powerful technology to our portfolio will enable our customers to process and react to information faster and more accurately with fewer computing and power resources than ever before. will be.”
