Buying something from the grocery store that you had at home can be frustrating. KitchenLens helps users manage their ingredient inventory using cameras inside the user’s fridge to upload what it sees to a server. On the server, computer vision techniques identify what ingredient was purchased. Afterward, the ingredient shows up in the user’s mobile app which tells the users which recipes are ready to make, or suggests where to find missing ingredients. KitchenLens automates the manual task of maintaining kitchen inventory without sacrificing accuracy.

The 1000-series oscilloscope is a staple of education, hobbyist, and small business sales for test equipment manufacturers. To meet the low cost expected in this market segment, manufacturers restrict key features such as bandwidth, memory depth, and update rate. ThunderScope is a disruptive competitor with flexible bandwidth, orders of magnitude more memory, and over one million waveform updates per second. It achieves these goals by offloading the oscilloscope’s processing, memory, and interface to the user’s computer, greatly reducing total system cost.

People are busy in their lives, whether it's school or work and this may leave their pets unattended to at home. Owners need a way to feed their pets without hiring a pet sitter. This project’s objective is to design a system that will feed and monitor their pets. The product is an embedded system connected to a software application that allows remote interaction with the physical system through an application. Our system will offer essential features at a low cost compared to existing offerings.

The COVID-19 pandemic has not only cast a blinding spotlight on the importance of online video conferencing tools, but it has also exposed the flaws of current solutions. Phrases like ‘Zoom fatigue’ have become a part of our everyday vocabulary. Meetcha is a secure video conferencing application offering features missing in existing solutions, enabling more collaborative and organized meetings. It integrates a collaborative whiteboard to emulate a real meeting room and the ability to automatically transcribe meetings.

Uncontrolled forest fires are some of the world’s most devastating, yet common disasters. FLARES is a solution that uses a distributed sensor network to effectively and efficiently detect wildfires. By using an alert based notification system and low power communication protocols, each node is able to accurately report fires for extended periods of time. With its emphasis on efficiency, scalability, and cost, FLARES provides a universal solution for conservationists to quickly detect and prevent forest fires.