Efficient Waste

Efficient waste management is a crucial research area aiming to optimize waste sorting, collection, and processing through technological advancements. Current research heavily utilizes computer vision, employing deep learning models like CNNs, GANs, and Mask R-CNN, often combined with sensor fusion (RGB-D cameras, LiDAR, tactile sensors) for improved object detection, classification, and robotic manipulation. These efforts focus on improving accuracy, speed, and resource efficiency in real-world settings, such as automated sorting facilities and smart bins, with the ultimate goal of reducing environmental impact and promoting circular economy principles. The development of robust, scalable, and resource-efficient solutions holds significant potential for improving waste management practices globally.