2017
DOI: 10.2139/ssrn.3126098
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Smart Dustbin-Garbage Monitoring System by Efficient Arduino Based

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“…For developers, performing machine learning ondevice can help improve latency, privacy, connectivity, Power consumption. [2] Mobile Nets are efficient Convolutional Neural Networks for Mobile Vision Applications. Mobile Nets are based on a streamlined architecture that uses depth wise separable convolutions to build light weight deep neural networks [3] MobileNets is a class of neural, convolutional network designed by Google researchers.…”
Section: Discussionmentioning
confidence: 99%
“…For developers, performing machine learning ondevice can help improve latency, privacy, connectivity, Power consumption. [2] Mobile Nets are efficient Convolutional Neural Networks for Mobile Vision Applications. Mobile Nets are based on a streamlined architecture that uses depth wise separable convolutions to build light weight deep neural networks [3] MobileNets is a class of neural, convolutional network designed by Google researchers.…”
Section: Discussionmentioning
confidence: 99%