Amazon launched its DeepLens camera in 2017. The camera is built with an aim of allowing developers to incorporate their very own AI backed deep learning algorithms. In other words, the DeepLens camera is more of a Raspberry Pie for AI developers. Amazon has finally launched the DeepLens deep learning camera for the U.S based developers.

amazon's deeplens camera offers a glimpse at how ai can better human lives - amazon deeplens

DeepLens sports a 4-Megapixel camera and comes with 8GB of internal memory alongside a microSD card slot. The list of other hardware on the DeepLens includes 2D microphone array, Intel Atom processor, USB ports and also micro HDMI ports. The camera offers direct integration with AWS Greengrass, Gluon machine learning library and also the SageMaker. Needless to say, the DeepLens recognizes objects, characters, and activities.

Technology is only useful as long as it helps the mankind solve real-world problems. Sachin Solkhan, a Software Engineer has made use of the Amazon DeepLens and has chiseled out a device that will help people with memory loss. The idea was conceived and implemented as a part of a hackathon, wherein the developer got early access to the DeepLens.

DeepLens along with the customized algorithms and platform is capable of making life easier for patients suffering from memory loss. Sachin’s DeepLens offering makes use of artificial intelligence and identifies things and objects with the onboard camera. The modus operandi involves storing photographs of family and friends (via Amazon cloud service.) Moreover, the DeepLens is also capable of recording interactions. Once the AI recognizes the person it will issue a verbal prompt. The device is already being tested out by Sachin and his family.

This particular project is a sample of how Artificial Intelligence and Deep Learning can be used to better human lives. At this juncture, the healthcare industry is said to be underserved when it comes to AI innovations and companies like Alphabet and Google are bullish about the same.

Was this article helpful?