Automatic Trash Recognition System Using Artificial Intelligence and Machine Learning for Avoid Covid -19

Abstract

The covid-19 period that emerged in March 2020 is still a big problem in various countries to date, the impact is quite large and has resulted in several sectors of the country s economy paralyzed, currently the government is trying to prevent it in various ways, starting with healthy socialization to implementing scale lockdown with\xa0 limited namely between regions and cities, the spread of Covid which starts only through the air turns into spread through objects around us, so that spraying is often carried out by infecting or using a hand sanitizer, the two methods are currently unable to fully address prevention Covid but by reducing the spread so that it doesn’t spread again, the most important thing is how we can live healthy and clean, in this study one of the prevention steps is to use smart waste technology which is expected enable prevent the spread of Covid -19 and declare Specify the waste into two categories of metal and non-metal, this is condition because Covid itself can spread through the air, especially through garbage, this technology uses the help of electronic sensors and computerized technology where the type of waste will be classified and then sorted with a conveyor machine so that non-waste organic matter doesn’t experience decomposition and spreads viruses, the accuracy of the reading from this sensor depends on the amount of training data used, while the processing of waste images uses Neural-Network and artistic intelligence algorithms with an accuracy of reading data up to 95%.