MIT Solve

Solution & Team Overview

Solution name:

IOT Indoor Radar & Far-UVC Lighting for Air & Surface Disinfection

Short solution summary:

Indoor Radar Augmented Far-UVC Lighting for Real Time, Data Driven, Human Safe Air & Surface Disinfection

In what city, town, or region is your solution team based?

Indianapolis, IN, USA

Who is the Team Lead for your solution?

Paul Shen
Team Lead, Uvoria Labs
MS Electrical Engineering, Stanford University
Former MD Candidate, Indiana University School of Medicine

Which Challenge Area does your solution most closely address?

Respond (Decrease transmission & spread), such as: Optimal preventive interventions & uptake maximization, Cutting through “infodemic” & enabling better response, Data-driven learnings for increased efficacy of interventions

What specific problem are you solving?

Global infectious diseases including COVID-19, TB, influenza and MRSA spread via contaminated air and surfaces. Yet age old mitigation measures like social distancing, ventilation and surface cleaning have proven sadly inadequate in this pandemic. In our digital age, there's also a paucity of real time data and data driven interventions in indoor spaces. Our solution not only gathers highly granular indoor behavioral data via indoor radar but more importantly responds with human safe far-UVC germicidal lighting to stop transmission right at the source.

Who does your solution serve, and what needs of theirs does it address?

Our solution applies to anyone in indoor spaces (especially close quarters) by directly mitigating airborne and fomite transmission of illnesses.

What is your solution’s stage of development?

Proof of Concept: A venture or organisation building and testing its prototype, research, product, service, or business/policy model, and has built preliminary evidence or data

More About Your Solution

Please select all the technologies currently used in your solution:

Artificial Intelligence / Machine Learning
Behavioral Technology
Big Data
GIS and Geospatial Technology
Imaging and Sensor Technology
Internet of Things
Software and Mobile Applications

What “public good” does your solution provide?

We'll deliver systems design white paper, at-cost open source hardware (indoor radar equipped far-UVC lamps), open source firmware (API for controlling and networking the lamps), open source software (sensor & data fusion algorithms for contamination estimation & optimal control).

How will your solution create tangible impact, and for whom?

Our solution will decrease mortality & morbidity by reducing airborne & fomite transmission of infectious diseases. This environmental health benefit applies to all, but especially the elderly, the hospitalized, and the immunocompromised.

How will you scale your impact over the next one year and the next three years?

Challenge is scaling the hardware & evolving the software. Our goal is to distribute millions of sensor networked far-UVC lamps in coming years. By itself far-UVC is a game changer that will attract big brands & OEMs. Our role is to focus on integrating radar sensor modules & control software into far-UVC products entering the market. We'll facilitate this by open sourcing our hardware, firmware, & software, encouraging a unified standard & open platform for people around the world to innovate and drive down costs.

How are you measuring success against your impact goals?

The scale metric is the number of sensor networked lamps deployed. The performance metric is the airborne and fomite transmissible disease incidence in facilities outfitted with our lamps, with similar facilities serving similar populations in nearby geographies as controls.

In which countries do you currently operate?

China
United States

In which countries do you plan to deploy your solution within the next 3 years?

China
India
Japan
United Kingdom
United States

If your solution has a website or an app, provide links here:

https://uvorialabs.com/pages/prototype

More About Your Team

Partnership & Growth Opportunities