Deep learning uses artificial multilayered neural networks and a vast amount of labeled sensor data to learn how to classify or detect objects. For the detection and classification of images, ...

“I had done a lot of mid-infrared spectroscopy throughout my career; I thought NIR would be a slightly different part of the spectrum,” Amanda Forster, a materials research engineer and textile ...

Sensor-based sorting technology has secured a firm place in higher volume e-scrap shredding operations. The most popular application by far is the recovery of a nonferrous concentrate on the eddy ...

Just how easy or not is it to sort polylactic acid (PLA), a popular bioplastic, from other packaging waste? A new study finds the same results as prior studies. Using a Near Infra-Red (NIR) sorting ...