PROBLEM:
Ultraviolet germicidal irradiation (UVGI) is a disinfection method that uses short-wavelength ultraviolet (ultraviolet C or UV-C) light to kill or inactivate microorganisms by destroying nucleic acids and disrupting their DNA, leaving them unable to perform vital cellular functions. UVGI is used in a variety of applications, such as food, air, and water purification. Recent studies have shown that UV short-wave radiation is capable of eliminating COVID-19, MERS, and SARS viruses at the hospital level, thus improving the cleanliness of the intensive care area, general medicine rooms and individual rooms, so there should be some small or medium-sized robot that help us to do this task at home.
SOLUTION:
Smart UV Robot has the following advantages:
- This project is an open source, cost effective, and energy efficient UV curing tool that can easily be fabricated in remote areas. Cheap, easily built manufacturing tool allow them to provide better aid in poverty.
- The device is an autonomous robot, so we avoid exposing people to unwanted infections in areas that can be sanitized.
- The autonomous robot is small in size and can therefore be used in homes without any problem.
- This robot obeys voice commands, so we can adapt it for people with disabilities.
Smart UV Robot version 1, is cost-effective robotic solution for surface sanitization, and this technology include:
- Hardware such as Amazon Alexa, Tesla coil, Reflector, distance sensors, and UV lamp; and
- Software: Neural Networks, PID Controller, and OpenCV.
Currently, Smart UV Robot version 2 is in development, and possibly would include: more battery power, more number of UV lamps, better reflector design, robotic arm, and two modes of operation: a) for people with visual disabilities, and b) another type of disability.
Potential consumers would be residential homes or apartments. It can even be used in schools and small offices.
I have attached three images and a short video where you can see in action the Smart UV Robot version 1.
Video
Voting
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ABOUT THE ENTRANT
- Name:Guillermo Perez
- Type of entry:individual
- Software used for this entry:Neural Networks, Arduino IDE, PID Controller, Python and OpenCV.
- Patent status:none