What
This project is for implementation of an autonomous intelligent vacuum cleaner with Indoor Air Quality sensor for measurement of IAQ score and displaying it prior to mopping operation in both dry and wet mode also IAQ score post completion of mopping operations.
Why
This will allow data to be captured which could provide insights into how effective the operation was and also whether motors and vacuum suction specifications were suitable for such operations, this test data could be used to develop more efficient and effective autonomous intelligent vacuum cleaners.
Indoor air quality (IAQ) is the air quality within and around buildings and structures. IAQ is known to affect the health, comfort, and well-being of building occupants.
How:
Radar will provide the map of the surrounding for autonomous navigation and saving the data in memory. IAQ sensors for feedback mechanisms to control the parameters of motors for both wet and dry mode. IAQ sensor will capture CO, VOCs, CO2, Ozone, Atmospheric particulate matter data and this data will be saved in the memory for further processing. Application will provide a dashboard for IAQ score and the relative path of the autonomous vacuum cleaner to the surroundings, this will allow inputs to the device to take necessary directions to achieve the goal of cleaning the floor and Air efficiently.
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