the user account according to the material. The developed hardware includes electronic devices that can be connected to the Raspberry Pi such as camera, LCD screen, LED, IR LED, breadboard and jumper cable. During the development of the software required for the recognition of the materials, 845 pictures including paper, glass and plastic materials were prepared within the scope of the study and 662 of them were used for training on the Tensorflow object recognition library. The OpenCV computer vision library has been loaded into the Raspberry Pi so that the materials can be detected in real-time by the developed hardware and the obtained object recognition model can be used on the hardware. Finally, the system has become works in real-time by fixing the developed hardware on boxes dedicated to the relevant materials. To verify that the system is working properly, some waste has been thrown into the boxes and the results are displayed on the LCD screen.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.