Cortex (A Smart-Device Hub)
Jason Smith and Noah Hendershott
Faculty Advisor: Philip J Bernhard, Dept. of Computer Science, Florida Institute of Technology
Abstract
Motivation
Features
Results
Design
Future work?!
Limitations/improvements
Cortex is an innovative smart home hub aimed at automating household processes by utilizing users' mobile phones for location tracking within the home through Bluetooth Low Energy (BLE) technology. Cortex uses a suite of sensors hosted on ESP32 chips to optimize and improve the performance of smart devices in the home. The sensors collect data from the users smartphone and relay it to the hub device to triangulate the users location within their own home.
When attempting to calibrate devices to the Cortex environment we tested with:
We found that though each device has its own signature most devices within the same line are exceedingly similar.
Future work for Cortex will focus on enhancing the system's capabilities and addressing current limitations. This includes exploring alternative methods for location tracking, such as Ultra-Wideband (UWB) technology, to improve accuracy and overcome BLE connection constraints. Additionally, expanding compatibility with a broader range of IoT devices will increase the system's versatility and user appeal. Research into machine learning algorithms for personalized automation recommendations based on user behavior and preferences will further elevate the user experience. Lastly, optimizing the system's hardware and software components for reduced latency and lower costs will make Cortex a more accessible and marketable solution for smart home automation.
All of these households have devices with more potential. Everyone who has lights that can be activated remotely could benefit from Cortex, everyone who has a smart lock can benefit from Cortex, anyone who wants their smart devices to work with them to improve their lives can benefit from Cortex.