Maxim, Aizip Partnering to Develop IoT Person Detection Device

By Perry Cohen

Associate Editor

Embedded Computing Design

April 22, 2021

News

Maxim, Aizip Partnering to Develop IoT Person Detection Device
(Image courtesy of Maxim Integrated)

Maxim Integrated and Aizip announced the 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.

According to a company press release, this is 100x lower than conventional software solutions and the most efficient IoT person-detection solution available.

Due to its low-power network, the device has longer operation for battery-powered IoT systems that require human-presence detection.

 Furthermore, the MAX78000 executes AI inferences at less than 1/100th the energy of conventional software solutions to improve run-time for battery-powered edge AI applications. Additionally, the VWW network is part of the Aizip Intelligent Vision Deep Neural Network (AIV DNN) series for image and video applications.

Aizip says it was developed with its design automation tools to achieve more than 85% human-presence accuracy.

For more information, visit www.maximintegrated.com

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San Jose, CA 95134

Perry Cohen, associate editor for Embedded Computing Design, is responsible for web content editing and creation, podcast production, and social media efforts. Perry has been published on both local and national news platforms including KTAR.com (Phoenix), ArizonaSports.com (Phoenix), AZFamily.com, Cronkite News, and MLB/MiLB among others. Perry received a BA in Journalism from the Walter Cronkite School of Journalism and Mass Communications at Arizona State university.

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