Low-Power IoT Person Detector For Battery-Powered Edge AI Applications 

It brings human-figure detection to IoT image and video at just 0.7 mJ per inference – a 100 times improvement By leveraging Aizip’s Visual Wake Words (VWW) model, Maxim Integrated’s low-power, neural-network microcontroller, the MAX78000 can now execute AI inferences at less than 1/100th the energy of conventional software solutions, improving run-time for battery-powered edge […]

The post Low-Power IoT Person Detector For Battery-Powered Edge AI Applications  appeared first on Electronics For You.



from Electronics For You https://ift.tt/3d9CwTF
Electronics, Electrical

Comments

Popular posts from this blog

Understanding Reliability In Bluetooth Technology

JOB: Manager- Expert Technical Support At Schneider Electric

An Origami-Based Haptic Device To Enhance Virtual Reality Experiences