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Firms Team for Low Power IoT Person Detection


Firms Team for Low Power IoT Person Detection
7 days ago
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 ....

United States , Aizip Intelligent Vision Deep Neural Network , Maxim Integrated , Visual Wake Words , ஒன்றுபட்டது மாநிலங்களில் , மாக்சிம் ஒருங்கிணைந்த , காட்சி எழுந்திரு சொற்கள் ,

Companies team to provide lowest-power IoT person detection


Companies team to provide lowest-power IoT person detection
Maxim Integrated Products and Aizip Inc have announced that Maxim’s MAX78000 neural-network microcontroller detects people in an image utilising Aizip’s Visual Wake Words (VWW) model at only 0.7mJ of energy per inference. This is 100 times lower than conventional software solutions and the most economical and efficient IoT person-detection solution currently available. The low-power network offers longer operation for battery-powered IoT systems that need human-presence detection, including building energy management and smart security cameras.
The MAX78000 low-power, the neural-network accelerated microcontroller executes AI inferences at lower than 1/100th the energy of conventional software solutions to significantly increase run-time for battery-powered edge AI applications. The mixed precision VWW network is part of the Aizip Intelligent Vision Deep Neural Network series for image and video applications a ....

Robert Muchsel , Bruno Olshausen , Aizip Intelligent Vision Deep Neural Network , Aizip Inc , Maxim Integrated Products , Visual Wake Words , Maxim Integrated , Professor Bruno Olshausen , மாக்சிம் ஒருங்கிணைந்த ப்ராடக்ட்ஸ் , காட்சி எழுந்திரு சொற்கள் , மாக்சிம் ஒருங்கிணைந்த ,

Maxim Integrated Teams with Aizip to Provide Lowest-Power IoT Person Detection


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
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. ....

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