Our Project

LED-Lux is a smart lighting system designed around the human circadian rhythm. The LEDs will cycle through different colors and temperatures of light according to what the body expects at that time of day. In hospitals, patients can go multiple days without direct sunlight. With LED-Lux implemented, the more natural light better regulates a patient’s circadian rhythm by giving them a more restful sleep and making them more alert while awake.

LED-Lux will be designed to be scalable. The smart light system will be comprised of a node-mesh network of lights, where each light is connected together sending and receiving data from a hub. This allows the system to span the entire hospital, ensuring that everyone gets the more natural light.

LED-Lux will be fully customizable. A user-friendly web application will allow users to adjust the spectrum based on what light works best for them. The node-mesh network will also allow users to group lights together, creating separate lighting zones. Users will also be able to create schedules, allowing the lights to work in time with their routine.

All designed to make life a little brighter.

Our Team

Meet the designers re-thinking modern lighting.
Even Hill
Even Hill

Electrical And Computer Engineer

Evan Hill studies Electrical/Computer Engineering, works as a Resident Assistant at Calvin College, and has interests in LED implementations and lighting spectral systems.

Melanie Fox
Melanie Fox

Mechanical Engineer

Melanie Fox, the sole Mechanical Engineering major, has a biotechnology minor and is interested in the effects sleep and circadian clocks have on the human body.

Anna Little
Anna Little

Electrical and Computer Engineer

Anna Little is a Computer/Electrical Engineering major with a minor in mathematics who specializes in the mechanics of ZigBee communication and the software programming of ZigBee modules.

Reuben Lewis
Reuben Lewis

Electrical And Computer Engineer

Reuben Lewis studies Electrical and Computer Engineering major at Calvin College with minors in German and Computer Science. One of his interests is capabilities and applications of machine learning and vision.

1712 Knollcrest Circle SE Grand Rapids, MI
E-mail: reuben.lewis@outlook.com Phone: (616) 526-6500