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A processing-in-pixel-in-memory paradigm for resource-constrained

A processing-in-pixel-in-memory paradigm for resource-constrained
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Smart Building Designs Spur Demand for IoT Solutions

Smart Building Designs Spur Demand for IoT Solutions
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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 developed wi

United statesAizip intelligent vision deep neural networkMaxim integratedVisual wake wordsஒன்றுபட்டது மாநிலங்களில்மாக்சிம் ஒருங்கிணைந்தகாட்சி 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 and was de

Robert muchselBruno olshausenAizip intelligent vision deep neural networkAizip incMaxim integrated productsVisual wake wordsMaxim integratedProfessor bruno olshausenமாக்சிம் ஒருங்கிணைந்த ப்ராடக்ட்ஸ்காட்சி எழுந்திரு சொற்கள்மாக்சிம் 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.

United statesRobert muchselBruno olshausenGayle bullockAizip intelligent vision deep neural networkAizip incPrnewswire maxim integrated products incMaxim integrated products incIntegrated productsMaxim integratedVisual wake wordsBattery lifeEffective intelligenceProfessor bruno olshausenMaxim integrated fellowSilicon valley