Eta Compute’s Low Power AI Vision Board Accelerates Design, Test, and Deployment of Transformative Embedded Vision Solutions

Eta Compute’s Low Power AI Vision Board Accelerates Design, Test, and Deployment of Transformative Embedded Vision Solutions

Eta Compute and Edge Impulse will co-host a free webinar on March 31 to demonstrate the powerful advantages of the AI Vision Board and Edge Impulse’s embedded machine learning workflow.

WESTLAKE VILLAGE, Calif., March 10, 2021 – Eta Compute Inc., the leader in energy-efficient endpoint AI solutions for intelligent sensing anywhere, announced its integrated, ECM3532 AI Vision Board, the lowest power embedded vision board that helps developers accelerate time to market. The board makes it possible to deploy vision applications that last for years on a single battery. The development community is invited to see the AI Vision Board in action at our free webinar with Edge Impulse on March 31.

“With computer vision, devices can understand the world around them, enabling them to be more capable, safer, easier to use and more autonomous,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “But vision algorithms are very compute-intensive, and the power consumption required to deliver the necessary processing performance has made these capabilities impractical for many potential applications.  We applaud Eta Compute’s innovation and collaboration with other Edge AI and Vision Alliance companies, which is making vision feasible in many new power-sensitive applications.”

Eta Compute’s ECM3532 AI Vision Board’s small form factor (1.5”x1.5”), embedded battery and low-power IoT/Bluetooth Low-Energy connectivity make it ideal for prototyping, field testing, and deployment of AI embedded vision applications. Its ultra-low-power operation eliminates barriers with traditional, tethered solutions or boards that have extremely limited battery life and high-power consumption. The board includes three sensors (ambient light, microphone, accelerometer/gyroscope), a low power Himax HM0360 camera, and an expansion connector. The AI Vision Board is the second in a growing family of boards, modules, and systems designed by Eta Compute.

“Eta Compute delivers one of the most integrated platforms for the development of sophisticated,

Evan Petridis Joins Eta Compute as Chief Product Officer and
Executive Vice President of Systems Engineering

Mr. Petridis will drive the company’s systems solutions strategy to develop innovative
products that help unlock the full potential of the IoT and deliver AI anywhere.

– Eta Compute Inc., the leader in energy-
efficient endpoint AI solutions for intelligent sensing anywhere, announced that Evan Petridis
joined the company as Chief Product Officer and Executive Vice President of Systems
Engineering. Mr. Petridis will lead Eta Compute’s systems solution strategy and help define and
develop a portfolio of innovative products that leverage the company’s low-power endpoint AI
technology.
“Mr. Petridis will be a tremendous asset to Eta Compete as we develop market-leading
intelligent sensing solutions that combine our TENSAI® platform and edge AI processors from
our partners,” said Ted Tewksbury, CEO of Eta Compute. “His deep expertise in IoT and
systems architecture and his experience working with industry leaders strengthen the breadth and
depth of our team.”
Mr. Petridis has a diverse and extended history of developing systems, from networking to tiny
IoT sensing devices. Most recently he worked as Executive Vice President of Engineering at
Enlighted Inc. (now part of Siemens Building Technologies) where he spearheaded all
development and production activities for the company’s end-to-end IoT systems. While there,
he oversaw one of the largest commercial IoT systems, with millions of deployed sensors and
cloud infrastructure for multiple applications. Earlier in his career he was Co-founder and Vice
President at Atmosphere Networks which was acquired by Ditech Communications Corp. where
he continued as Vice President of Engineering.
Mr. Petridis serves as an advisor and board member to a number of global technology
companies. He earned his bachelor’s degree with First Class Honors from the University of
Western Australia, Perth, Australia.

Eta Compute Closes $12.5 Million Series C Funding Led By Synaptics

Eta Compute expands its focus to ready-to-deploy, system-level solutions and announces strategic partnership with Synaptics

Eta Compute Inc., the leader in energy-efficient endpoint AI solutions for intelligent sensing anywhere, announced it closed its Series C funding of $12.5 million, bringing the company’s total funds raised to $31.9 million. The round was led by Synaptics Incorporated along with participation from existing investors. Satish Ganesan, Chief Strategy Officer at Synaptics will join the Eta Compute Board of Directors.

“We are delighted and privileged to have Satish as the newest member of the Eta Compute board,” said Dr. Ted Tewksbury, CEO of Eta Compute. “He brings a wealth of strategic, business and technology experience and we look forward to collaborating with Synaptics to address the multi-billion dollar opportunity in Edge AI.”

Additionally, Eta Compute announced a co-development and co-marketing partnership with Synaptics. The partnership gives Eta Compute access to Synaptics’ just announced ultra-low power Katana Edge AI SoC, and Synaptics access to Eta Compute’s TENSAI® Flow software and neural network compilers, models and AI applications. The joint partnership accelerates the introduction of innovative ultra-low power audio- and vision-based edge AI solutions for smart home consumer IoT markets, and for smart industrial IoT (IIoT) applications in buildings, factories, and cities.

“Synaptics continues to aggressively expand into high growth markets and applications in the IoT space,” said Satish Ganesan, Chief Strategy Officer at Synaptics. “Eta Compute is a recognized leader in energy-efficient edge inferencing. The combination of Synaptics’ low power Katana Edge AI SoC coupled with Eta Compute’s power optimized machine learning compiler and software enables us to deliver the industry’s most power-efficient AI solutions at the edge.”

Earlier this year, Eta Compute introduced TENSAI®, the world’s most energy efficient endpoint AI platform, consisting of the ECM3532 neural sensor processor, the TENSAI

Eta Compute Will Demo Person Detection and People Counting in milliwatt At The 2020 Embedded Vision Summit

Virtual interactive event provides a first-look at the TENSAI Platform and People Detection and People Counting demo; allows attendees to text or chat 1-1 with Eta Compute experts.

WESTLAKE VILLAGE, Calif., September 1, 2020Eta Compute Inc., a company dedicated to delivering machine learning to low power IoT and edge devices using its revolutionary TENSAI® Platform, announced it will exhibit at the 2020 Embedded Vision Summit, the premier event for innovators adding computer vision and AI to products.

This year’s Summit will be 100% online, allowing attendees to watch presentations, engage with speakers, visit the virtual exhibit hall, view live product demos on a seamless virtual platform. The event takes place September 15, 17, 22, and 24, 2020, from 9:00 a.m. to 2:00 p.m. PT,

Eta Compute’s Interactive Virtual Booth will feature its TENSAI® Platform that enables ultra-low power machine vision for edge devices. The TENSAI Platform includes the recently launched TENSAI Flow software and neural network compiler, which enables seamless development for machine learning applications in IoT and low power edge devices.

Leveraging TENSAI Flow and its neural network compiler, Eta Compute will demonstrate three uniquely optimized vision algorithms using low power CMOS image sensors:

  • CIFAR10 object detection algorithm: Compared to direct implementation on a competitive device Eta Compute’s CIFAR10 neural network improves energy per inference to a staggering 200x factor.
  • Person detection algorithm: Detect people in 3mW and 0.5 inference per second.
  • People counting algorithm: Count people in less than 5mw and 1 inference per second.

All three neural networks are optimized for efficiency and memory usage and can run on an ultra-low power TENSAI Neural Sensor Processor from Eta Compute.

The people detection and people counting networks are typically used in space utilization and social distancing monitoring in office buildings and retail stores. This type

Eta Compute Introduces TENSAI® Flow, Enables Seamless Development of Machine Learning Applications in Low Power IoT Devices, from Concept to Firmware

Eta Compute’s TENSAI Flow and neural network compiler helps developers accelerate time-to-design, giving them an edge to bring innovative, intelligent products to market quickly.

WESTLAKE VILLAGE, Calif., August 4, 2020Eta Compute Inc., a company dedicated to delivering machine learning to low power IoT and edge devices using its revolutionary TENSAI® Platform, announced its TENSAI®  Flow software. The software suite complements its existing development resources and enables seamless design from concept to firmware, speeding the creation of machine learning applications in IoT and low power edge devices.

“Neural network and embedded software designers are seeking practical ways to make developing machine learning for edge applications less frustrating and time-consuming,” said Ted Tewksbury, CEO of Eta Compute. “With TENSAI Flow, Eta Compute addresses every aspect of designing and building a machine learning application for IoT and low power edge devices. Now, designers can optimize neural networks by reducing memory size, the number of operations, and power consumption, and embedded software designers can reduce the complexities of adding AI to embedded edge devices, saving months of development time.”

Eta Compute’s TENSAI Flow software de-risks development by quickly confirming feasibility and proof of concept. TENSAI Flow enables seamless development for machine learning applications in IoT and low power edge devices. It includes a neural network compiler, a neural network zoo, and middleware comprising FreeRTOS, HAL and frameworks for sensors, as well as IoT/cloud enablement. 

“In order to best unlock the benefits of TinyML we need highly optimized hardware and algorithms. Eta Compute’s TENSAI provides an ideal combination of highly efficient ML hardware, coupled with an optimized neural network compiler,” says Zach Shelby, CEO of Edge Impulse. “Together with Edge Impulse and the TENSAI Sensor Board this is the best possible solution to achieve extremely low-power ML applications.”

The TENSAI Flow exclusive

Eta Compute Introduces The Industry’s First Integrated, Ultra Low Power AI Sensor Board for Machine Learning At The Edge

Eta Compute will host a free online workshop with Edge Impulse on July 14 for designers working on low power machine learning applications.

WESTLAKE VILLAGE, Calif., June 23, 2020Eta Compute Inc., a company dedicated to delivering machine learning to IoT and edge devices using its revolutionary TENSAI Platform, announced the debut of the world’s first integrated, ultra low power AI Sensor Board, the ECM3532 AI Sensor Board. Designed specifically for machine learning at the edge, the board reduces the initial phase of smart sensor development using its TENSAI SoC, including feasibility, proof of concept, and board design, from several months to weeks or even days.

The company also announced it is hosting a free online workshop with Edge Impulse July 14, 2020. The first 50 qualified developers planning or working on projects will receive a complementary ECM3532 AI Sensor Board. Developers should apply on the Eta Compute web site here. The board can be purchased through Digikey.

“Our fully integrated ECM3532 AI Sensor Board reduces risk, complexity, and costs for developers creating low power smart sensors and accelerates their time to proof of concept,” said Ted Tewksbury, CEO of Eta Compute. “For the first time, they can rely on a single, fully integrated board complemented by Edge Impulse’s comprehensive SaaS development platform to drive innovative IoT solutions to market.”

“Designing low-power devices with embedded machine learning has been a huge challenge,” said Zach Shelby, CEO of Edge Impulse. “The new Eta Compute AI Sensor Board opens up endless application possibilities for developers without compromising on power consumption, and with full support on Edge Impulse we reduce development time to days instead of months.”  Its small form factor (1.4 inch x 1.4 inch), the embedded battery socket and Bluetooth connectivity with the

AI Sensor Board Webinar

Register now to our virtual workshop with Edge Impulse on July 14 2020!

Webinar Description

Teaching your sensors new tricks with Machine Learning

Ultra-low power or detecting complex events, pick… Both?! When we think about machine learning we think of data centers full of servers, crunching numbers. But machine learning is just as useful on small devices: it lets you draw conclusions directly on the sensor thus lowering power consumption, and detect much more complex patterns without explicit programming. In this hands-on workshop we’ll use Eta Compute’s ultra-low power ECM3532 AI Sensor board together with Edge Impulse’s embedded machine learning platform to build battery-powered applications that can detect vibrations, audio signals, or perform anomaly detection on realtime sensor data.

Webinar on July 14, 2020 at 8:00 AM PST, with Edge Impulse and Eta Compute. Presentation by Jan Jongboom, CTO of Edge Impulse

If you would like a board to use during the webinar, they will be available on Digikey at the below link:

https://www.digikey.com/en/supplier-centers/eta-compute

*** In regards to the free board drawing, the 50 winners have already been selected.

Eta Compute Named in Forbes top IoT Startups 2020

Eta Compute has been able to adapt quickly to the COVID-19 hard reset by offering a variety of licensing models designed to meet the unique needs of each industry they serve.

Louis Columbus, Forbes Senior Contributor

Use the below link to view the full story. Eta Compute is labeled number 6 in the top 20.

https://www-forbes-com.cdn.ampproject.org/c/s/www.forbes.com/sites/louiscolumbus/2020/05/25/the-top-20-iot-startups-to-watch-in-2020/amp/