InferSens to Introduce Ultra-Low-Power Edge DL Sensor Solution with Syntiant Technology

Battery-Powered Sensor with Embedded Syntiant NDP120 Neural Decision Processor to Enable Highly Accurate On-Device Processing for Commercial and Industrial Applications

InferSens CTO Jonathan Peace to Present First Application for Legionella Water System Monitoring at the tinyML EMEA Innovation Forum 2022 in Cyprus


Cambridge, U.K., and Irvine, Calif., October 11 – InferSens today announced the first application of its game-changing sensor technology, which brings sophisticated deep learning to extremely low-power sensors and opens a raft of new, at-the-edge, data-rich sensor applications, which were previously hard or even impossible to address.


Deep learning (DL) is the leading field of artificial intelligence (AI) research - whereby algorithms learn patterns in data without explicitly being programmed to do so. Historically, these types of algorithms for rich sensor data have been processed in the cloud, creating problems of data fidelity, privacy, latency - and above all, energy consumption. Attempts to solve this, by moving DL to the edge, have necessitated the use of local power sources that greatly hinder wide scale sensor deployment.


InferSens’ sensor technology uses state-of-the-art silicon, leading-edge DL models and innovative mechanical- and systems-engineering to break the logjam of power consumption vs. performance and bring to market the first of a new generation of smart sensors for the built environment and beyond.


The silicon is an ultra-efficient next-generation neural accelerator - the Syntiant NDP120 Neural Decision Processorä - which uses at memory compute and natively processing neural network instructions for enhanced data optimization, enabling InferSens to achieve on-device deep learning processing at only 1% of the power required by traditional processors.


The NDP120 can run multiple AI algorithms simultaneously at under 1mW, among other sensor and voice applications, and is designed to natively run multiple deep neural networks on a variety of architectures, such as CNNs, RNNs and fully connected networks.


Syntiant CEO, Kurt Busch, said: “We are delighted to be working InferSens to deploy cloud-free sensor solutions with our edge AI processor technology. The NDP120 delivers 25x the tensor throughput than our first-generation neural network, enabling highly accurate sensor processing with near-zero power consumption.”

The first product release of InferSens’ sensor technology - planned for Q1 2023 - is a low-cost, battery-powered, water flow and temperature sensor for monitoring and detecting Legionella risk in water systems. It can be quickly and easily attached to any pipe without any cutting or plumbing required. It is initially aimed at the commercial and public sector property market (7.6million properties in the UK alone) - where regulation demands that owners monitor the risks of Legionella - the cause of a potentially fatal form of pneumonia contracted via contaminated water.


InferSens CEO, Colin Payne said: “We have been developing our deep tech sensor technology since 2017, with the future of on-device deep learning in mind, which is why we’ve been able to achieve pole position with this revolutionary technology. Ahead of the formal product launch, we are engaging with customers for pilots, under commercial agreement, from a range of sectors including universities, hospitals, commercial offices, hotels and other property owners and operators.”


He continued: “The technology has very significant potential in multiple other practical uses such as multi-factor building occupancy, combined air quality and compound sensing for buildings and smart cities, and other applications where low power, rich data and smart sensing requirements converge. We are looking forward to bringing to market an exciting portfolio of products in due course.”


CTO Jonathan Peace will be presenting the technology and the first application at the tinyML EMEA Innovation Forum 2022 in Cyprus on 11th October 2022.


About InferSens

InferSens is a deep tech company focussed on transforming sensor technology. Based in Cambridge, UK, InferSens brings sophisticated deep learning models to extremely low-power sensors, opening a raft of new data-rich sensor applications that were previously hard or even impossible to address. The sensor technology leverages a new wave of ultra-efficient next-generation neural accelerator silicon, which takes, clusters and classifies data at a very fast rate, enabling InferSens to achieve on-device deep learning processes at almost 1% of the power required by traditional processors. Earlier this year, InferSens raised $1million to accelerate the core capability development of its deep tech sensor technology from a mix of strategic and tech investors, including the RO Group, Oxford Innovation Fund and a number of influential serial entrepreneurs.More information on the company can be found by visiting www.infersens.com or by following InferSens on Twitter @InferSens or LinkedIn.


About Syntiant

Founded in 2017 and based in Irvine, California, Syntiant Corp is a leader in delivering end-to-end deep learning solutions for always-on applications by combining purpose-built silicon with an edge-optimized data platform and training pipeline. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for edge AI applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Robert Bosch Venture Capital, the Amazon Alexa Fund and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com or by following Syntiant on Twitter @Syntiantcorp or LinkedIn.

PRESS CONTACTS


For Syntiant:


George Medici

gmedici@pondel.com


For InferSens:


Carole Ayemaung

carole.ayemaung@cofinitive.com

Recent Posts

See All