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Maxim Integrated teams up with Xailient to provide IoT face detection


Maxim Integrated teams up with Xailient to provide IoT face detection
Maxim Integrated Products and Xailient, a company focused on artificial intelligence (AI) for the edge, have announced that Maxim’s MAX78000 neural-network microcontroller is able to detect and localise faces in video and images using Xailient’s proprietary Detectum neural network.
Xailient’s neural network draws 250x lower power (at just 280 microJoules) than conventional embedded solutions, and at 12 milliseconds (ms) per inference, the network performs in real time and is faster than the most efficient face-detection solution currently available for the edge.
Battery-powered AI systems that require face detection, such as home cameras, industrial grade smart security cameras and retail solutions, require a low-power solution to provide the longest possible operation between charges. ....

Robert Muchsel , Shivy Yohanandan , Xailient Detectum , Integrated Products , Maxim Integrated , Maxim Integrated Fellow , ஒருங்கிணைந்த ப்ராடக்ட்ஸ் , மாக்சிம் ஒருங்கிணைந்த ,

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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