PET-Bottle-Recognizer: A Machine Vision Recognition of Polyethylene-Terephthalate Based- Bottle for Plastic Waste Classification and Recycling
PET-Bottle-Recognizer: A Machine Vision Recognition of Polyethylene-Terephthalate Based- Bottle for Plastic Waste Classification and Recycling
C. Cunanan
Abstract
Recycling of waste materials has been important and well known for the benefits of the environment or economic reasons. The industry still demands efficiency in detecting waste bottles in the surroundings. In this study, the researcher proposed a waste bottle detection system to identify an object such as a waste bottle that was thrown in the surroundings. The proponent used mean average precision (mAP) to evaluate the performance of the model. Upon testing the researcher obtained an accuracy of 100% for the detection of images that was fed in the system. To evaluate the model, the model obtained an accuracy of 85.70% which is good enough. The researcher concluded that the system is efficient in detecting waste bottles. This study is promising to reduce waste in the environment.
