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Firms Team for Low Power IoT Person Detection

Maxim Integrated has announced that its 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, says Maxim.

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.

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.

Maxim Integrated | www.maximintegrated.com

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Firms Team for Low Power IoT Person Detection

by Circuit Cellar Staff time to read: 1 min