… In this study, we aimed to perform object recognition of discarded digital cameras by applying
image recognition using template matching and OCR processing. Template matching is a …

… Image recognition is a technique to recognize images by capturing real-life images through
… for recyclable solid waste studied in this paper can classify solid waste efficiently and …

… Therefore, this article uses deep learning methods to study efficient waste image recognition
for recyclable waste sorting. Technically, a waste image recognition model has been …

… Manual sorting is tedious and not an efficient approach as … in waste streams thus enabling
efficient recycling. If the model … well-known technique used in object recognition. One of such …

… tactile sensing data for later material recognition. Chitta et al. [… tactile sensing data for
object recognition. All the above … To accelerate computation efficiency, we take an average of …

… a new automated recycling system framework. An efficient object recognition approach is …
objects. A deep learning approach was also used with a modified LeNet model for waste …

… Intelligent recognition of waste categories is a prerequisite for sorting and recycling. …
This paper designed a lightweight and efficient waste image classification model based on …

… The main topics discussed in this book are object recognition … sensor object recognition
system for electronics recycling. … sensing modalities for recognition of electronic components, …

… Overview of the YOLO-GS Framework We aim to build an ultralightweight and efficient
object detection network for the dish detection task of the empty-dish recycling robot. Therefore, …

… Currently, recycling educators lack an efficient and cost-… recycling programs. Thus, we
will test the performance of multiple state-of-the-art object recognition models on our recycling …