MAX78000 AI microcontroller and Aizip's Visual Wake Words model bring human-figure detection to IoT image and video at just 0.7 mJ per inference - a 100 times improvement
SAN JOSE, Calif., April 19, 2021 - Maxim Integrated Products, Inc. (NASDAQ: MXIM) and Aizip Inc., a company focused on artificial intelligence (AI) for applications in the Internet of Things (IoT), today announced that Maxim Integrated's MAX78000 neural-network microcontroller detects people in an image using Aizip's Visual Wake Words (VWW) model at just 0.7 millijoules (mJ) of energy per inference. This is 100 times lower than conventional software solutions, and the most economical and efficient IoT person-detection solution available. The low-power network provides longer operation for battery-powered IoT systems that require human-presence detection, including building energy management and smart security cameras.
For details about Maxim Integrated's MAX78000 microcontroller, visit http://bit.ly/MAX78000Detection
For details about Aizip's VWW model, visit https://www.aizip.ai
Download a high-resolution image at http://bit.ly/DetectionPhoto
Watch a video demonstration of the IoT person-detection network at http://bit.ly/DetectVideo
The MAX78000 low-power, neural-network accelerated microcontroller executes AI inferences at less than 1/100th the energy of conventional software solutions to dramatically improve run-time for battery-powered edge AI applications. The mixed precision VWW network is part of the Aizip Intelligent Vision Deep Neural Network (AIV DNN) series for image and video applications and was developed with Aizip's proprietary design automation tools to achieve greater than 85 percent human-presence accuracy.
Extended Battery Life: Efficient AI model and low power microcontroller system-on-chip (SoC) reduce inference energy to 0.7 mJ, allowing 13 million inferences from a single AA/LR6 battery.
Cost-Effective Intelligence at the Edge: Extreme model compression enables accurate smart vision with a memory-constrained, low-cost AI accelerated microcontroller and budget-friendly image sensors. Commentary
"The combination of Maxim Integrated's ultra-low power chip solutions and Aizip's compact AI models is an important development that will enable many novel and exciting applications in the IoT world," said Professor Bruno Olshausen at UC Berkeley, a highly recognized expert in neural computation/neural network models who also serves as an advisor to Aizip.
"The MAX78000 architecture, toolchain, and example code and models made it easy to get started and hit our accuracy, latency and power targets on schedule," said Yuan Lu, Co-Founder and President, Aizip. "Aizip was quick to exploit our per layer quantization capability to reduce weight storage and achieve a compact, energy-efficient model for human detection. I look forward to working with them on future projects," said Robert Muchsel, Maxim Integrated Fellow and architect of the MAX78000 microcontroller.
Availability and Pricing
The MAX78000 microcontroller and MAX78000EVKIT# evaluation kit are available now at Maxim Integrated's website and through authorized distributors. The MAX78000 is $8.50 (1000-up, FOB USA) and the evaluation kit is $168.00.
AIV DNN series models, tools and services are available directly from Aizip.
About Maxim Integrated
Maxim Integrated, an engineer's engineering company, exists to solve the designer's toughest problems in order to empower design innovation. Our broad portfolio of high-performance semiconductors, combined with world-class tools and support, delivers essential analog solutions including efficient power, precision measurement, reliable connectivity and robust protection along with intelligent processing. Designers in application areas such as automotive, communications, consumer, data center, healthcare, industrial and IoT trust Maxim to help them quickly develop smaller, smarter and more secure designs.
Aizip, Inc., develops AI models for IoT applications. Based in Silicon Valley, Aizip provides design services with superior performance, quick turnaround time, and excellent ROI. Their models can be used in a wide range of applications for an intelligent, automated, and connected world.
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