Having an accessible building is an important metric many architects and building administrators try to optimize. Our goal is to have a dual solution to the two problems every successful accessible building has to achieve. The first being able to track and manage who, when, and where people of disabilities are interacting with the building. The second is to provide amenities to assist and remedy some of the problems that might arise for their specific disability.
What it does
Our solution helps improve accessibility at a micro and macro level. We provide analytics and tooling that can help detect and notify where and when people of disabilities are using our service. Using alerts and a dashboard page we provide metrics that give a building administrator the tools to accurately map out the usage, needs, and patterns of people with disabilities. We can also send alerts during times of high stress, such as with large gatherings.
How we built it
Our project blends hardware and software. On the hardware side, we used technologies like RFID, Arduinos, voice to text hardware, and motors to showcase ways to better improve accessibility. On the software side, we used full-stack website development with technologies like Vue, MongoDB, Express, and Node to manage the different API’s and services we used.
Challenges we ran into
Wifi quickly became one of our biggest challenges. We could not use certain ports, use SSH, and risk getting kicked out every 10 minutes. We ended up using hotspots and some clever hosting tricks to be able to manage our servers and continue with our project.
We also lacked the necessary power to fully rotate a heavy motor. We had to innovate and use different methods to be able to achieve the goal.
Accomplishments that we're proud of
We finished and submitted the project. Having so many moving pieces we risked the possibility of one of the parts failing and the entire project becoming stalled. Thankfully, everyone on the team was able to do their piece and we were able to merge everything successfully without any problems.
What we learned
The hardware people on our team learned the software side and vice versa.
What's next for Handetect
We provided a great framework for future innovation. We would love to build more complicated hardware that can fully utilize all the amazing metrics and data we gathered.