Different types of waste can be identified according to predetermined specifications as guide data that is further processed using image processing software object detection methods based on mobile SVD. Based on
During the first stage of the monitoring system, all incoming waste loads are inspected on the weighbridge at the point of entry to MRFs. Trained weighbridge operators monitor each truckload of waste that enters the MRFs to ascertain the suitability of the materials for processing. The waste loads...
Solid waste bin level detection using gray level co-occurrence matrix feature extraction approach This paper presents solid waste bin level detection and classification using gray level co-occurrence matrix (GLCM) feature extraction methods. GLCM parame... M Arebey,MA Hannan,RA Begum,... - 《Jour...
UniSort PR EVO 5.0® For sorting using NIR technology - detection of chemical composition (e.g. in plastics) product link UniSort Black For sorting using NIR technology - detects black and dark objects product link STEINERT KSS® | CL ...
The curse of dimensionality faced by the FNNs can be addressed by the CNNs, a specialized deep learning method frequently used for processing image or grid-like data. They consist of a convolutional layer for learning local patterns from high-resolution data, a pooling layer for reducing spatial...
detection capability for global dumpsites, we manually search satellite images of these 28 regions without using any additional methods and obtain 763 dumpsites. Meanwhile, we obtain a total of 755 dumpsites (98.6%) with the methodology of this work. Such results show that our dataset has a ...
Digital technologies, including robotic automation, artificial intelligence for material detection, and smart trash containers, have long been acknowledged by policymakers, practitioners, and academics as important facilitators of more effective and efficient waste management [226]. Innovative solutions and ...
Eggshell residue samples were collected, and their particle sizes were measured before and after fermentation using a particle size analyzer (PSA; Mod.: N5, Beckman Coulter, USA) at the SRTA-city laboratory facility. Detection of organic acid production LC–MS/MS was used to detect and measure...
To address the issues of large parameter size and high computational cost in waste detection within complex background environments, we propose a lightweight waste detection model, GD-YOLOv10n (Garbage Detection-YOLOv10n), based on an improved YOLOv10n framework. First, we introduce a High-level...
The proposed system is tested on the trash image dataset which was developed by Gary Thung and Mindy Yang, and is able to achieve an accuracy of 87% on the dataset. The separation process of the waste will be faster and intelligent using the proposed waste material classification system ...