Smart Water Purifier and Dispenser for Averting Spread of COVID-19 Infection—Machine Learning Approach
| Autor: | G. Sailaja, Mahaboob Shaik, Mohammed Arshad |
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| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
Computer science business.industry media_common.quotation_subject Control (management) Smart water Machine learning computer.software_genre User requirements document Microcontroller Filter (video) Quality (business) Water quality Artificial intelligence business computer media_common |
| Zdroj: | Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic ISBN: 9789811654107 |
| DOI: | 10.1007/978-981-16-5411-4_8 |
| Popis: | Recent pandemic made everyone health-conscious and more particularly about hygienists in food and drinking water. The general water purifier and dispenser only control the purity in one way or another but not according to individual user requirements. Moreover, the available water dispensers are not self-officiated to dispense the water without a manual touch of the user. It is worthwhile to note that, based on the user's age and gender, the purity or quality of the water has to be consumed to assist their metabolism and growth. Hence, in this dossier, a novel water purification system is presented wherein the microcontroller identifies the user age and gender by executing relevant machine learning algorithm and selects the appropriate filter configuration to dispense desired water quality. Furthermore, the pandemic has made us learn about social distancing and disinfection, this is applicable for water dispensers also. Hence, a dispensing system that dispenses the water based on the tumbler shape/size, which is accomplished by executing relevant machine learning algorithm. |
| Databáze: | OpenAIRE |
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