Nanoveu (ASX: NVU) has announced the successful results of the Embedded AI Systems (EMASS) ECS-Dot Chipset (ECS-Dot) in a comprehensive fall detection evaluation.
The ECS-Dot achieves up to 90x lower power consumption compared to traditional “always-on” systems.
A comparison survey identified traditional always-on systems consumed approximately 10mW of power, compared with ~0.5mW used by Optimised Power Management Systems and just 0.112mW from EMASS’s ECS-Dot Chipset.
The ECS-Dot also executes its accurate fall detection AI model in just 1ms.
The results demonstrate the comparative advantages of EMASS ECS-Dot to address the increasing demand for energy-efficient, AI-capable chip solutions in a number of growing global markets.
The technology is poised to transform markets, such as fall detection systems for the elderly.
The global fall detection systems market is projected to reach approximately US$748.40 million by 2030 driven by factors such as the increasing elderly population, rising adoption of mobile-based solutions for personal safety, and advancements in wearable technology.
Traditional fall detection systems involve placing sensors on areas of the body such as the chest or wrist to detect sudden movements or impacts indicative of a fall.
These systems often rely on continuous monitoring and are required to perform energy expensive computations in order to distinguish falls from other events.
This can result in significant energy consumption and limits the practicality for sustained, long-term fall detection surveillance in battery-powered devices.
The proprietary ECS-Dot Chipset’s low power consumption and stable operations could pose a massive boon for the industry.
“These breakthrough results showcase how the ECS-Dot Chip, when used with advanced AI data processing and modern memory technologies can deliver practical, energy-efficient solutions for various real-world challenges,” Professor Mohamed M. Sabry Aly, Founder of EMASS, said.
“These results move us closer to our goal to develop and commercialise highly efficient semiconductor solutions that allow for seamless integration of AI into everyday life, improving both functionality and sustainability and opening multiple large unmet market opportunities for our proprietary technology.”
