Lab Notes: Augmented Reality with the Microsoft HoloLens

Lab Notes: Augmented Reality with the Microsoft HoloLens

While wearable technology usually calls to mind devices such as smartwatches and fitness trackers, one exciting new avenue of research is augmented reality glasses. Virtual reality (VR) takes the user to a whole new virtual space, but augmented reality (AR) instead aims to enhance the real world by providing software interactions with physical things, through mediums like phone screens or glasses. This allows for a whole new approach to user interfaces, because programs can now interface with the real world in more meaningful capacities.

Lab Notes: Exploring the AWS DeepLens

Lab Notes: Exploring the AWS DeepLens

In the last two months, Amazon released their new machine learning camera to the public, the AWS DeepLens. The DeepLens is a unique video camera because it carries an onboard Intel Atom processor, meaning that not only can it run a full OS (it runs Ubuntu 16.04 by default), but it can also process video in real time using a machine learning model deployed to it over Amazon Web Services.

Lab Notes: Data Collection with Bluetooth Thermometers

Lab Notes: Data Collection with Bluetooth Thermometers

The advent of Bluetooth Low Energy (BLE) devices has allowed for the addition of wireless capability to low-powered devices, and expanding the possibilities for the Internet of Things. Because BLE was part of an update to the Bluetooth Standard in 2011, new code had to be written to support devices that utilized the technology. The Generic Attribute Profile (GATT) specification allows for a standardized method of accessing data from BLE devices, and libraries have been written to support this data collection in various languages. By using this technology, we explored the possibility of creating a “smart” kitchen, such that we could wirelessly receive temperature readings from a variety of Bluetooth thermometers.

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