The time it takes to fumble around with items at self-checkout, searching for barcode after barcode to scan, really adds up. Walmart thinks it has found a solution for that. The retail giant ...

Abstract: This article presents a novel method for efficient barcodes detection in real and complicated environments using a convolutional neural network (CNN)-based model. The method is developed as ...

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

The study investigates the energy recovery potential from MSW generated in Mbeya City using computational modelling in MATLAB. The research focuses on characterizing the waste stream, assessing its ...

The most challenging part of barcode reading for 1-D or 2-D barcodes is not information extraction, but rather finding the barcode within an image. Complex algorithms using conventional ... Note that ...

Based on this detection, it is possible to suppress noise ... Custom acquisition, analysis and processing plugins can be developed using ImageJ's built in editor and Java compiler. User-written ...