With AML100, the company claims to enable system designers to leverage the features of Renesas MCU without facing a battery life trade-off
Aspinity, a leading player in analog machine learning processing, recently announced that it has joined the Renesas Preferred Partners Program and has released its AB2 AML100 Application Board. It noted that the board expedites the development of power-constrained always-on AI products that use the AML100 analog machine learning processor and Renesas’ Quick-Connect IoT platform or other development platforms with an Arduino Uno Rev3 connector. The company mentioned that the near-zero power AML100 analog machine learning processor has been developed using Aspinity’s proprietary analogML core and consumes 15µA for sensor interfacing, signal processing, and decision-making completely within the analog domain.
It is learnt that the first demonstration of an Aspinity board within the Renesas Quick-Connect IoT platform will be shown in the Renesas booth at Embedded World 2023. It will feature the AML100 board connected to the Renesas EK-RA6M3 evaluation kit in the Quick-Connect IoT platform, which, as per the company, will deliver a high accuracy, ultra-low power glass break detection solution.
The official note explained that the system consumes <45µA when in always-listening mode, keeping the high-performance Renesas RA6M3 MCU in its deep sleep mode unless a glass break is detected. It claims that by keeping the Micro Controller Unit in sleep mode for the 99.9+% of the time that there’s no glass break, the AML100 significantly extends battery life for glass break sensors and the system still achieves the accuracy required for critical security applications.
Senior VP, CSMO and head of the Global Sales & Marketing Unit at Renesas, Chris Allexandre said, “System designers are continuously searching for faster ways to develop new and innovative IoT products. Our collaboration with Aspinity allows designers to add new features to their next-generation power-constrained products without compromising the performance of MCUs. We are excited to continue to work with Aspinity on providing ultra-low power solutions for the myriad of always-on applications that require both high performance and extended battery life.”
The CEO and founder of Aspinity, Tom Doyle commented that consumers are no longer willing to trade battery life for high performance – particularly in portable IoT products that are mounted in hard-to-reach locations and/or are used to keep their home smart, safe, and secure. Excited to join the Renesas Preferred Partners Program and demonstrate the first collaboration between the companies at Embedded World, Doyle added, “Together, we open a new capability for system designers to incorporate power intelligence into products while still taking advantage of the high performance and rapid prototyping capability that they rely on from Renesas MCUs and the Quick-Connect IoT platforms.”
2015-born Aspinity, Inc. is a leading designer and developer of analogue processing chips aimed to enable power-intelligent and energy-efficient products. Aspinity’s software programmable analogML core claims to deliver analog event detection, eliminate the power penalty of moving irrelevant data through the digital processing system and more.
The Renesas Preferred Partners Program is a global network of system solution providers working with Renesas to deliver optimized engineering value-added solutions for customers designing with Renesas products.
