Computer vision applications in transportation logistics and warehousing have a huge
potential for process automation. We present a structured literature review on research in the …

We focus on enabling damage and tampering detection in logistics and tackle the problem
of 3D shape reconstruction of potentially damaged parcels. As input we utilize single RGB …

The booming computational thinking and deep learning make it possible to construct agile,
efficient, and robust deep learning‐driven decision‐making support engine for the operation …

Autonomous robots are often deployed in applications to continually monitor changing
environments such as supermarket floors or inventory monitoring, patient monitoring, and …

Synthetic data for training deep neural networks is increasingly used in computer vision.
Different strategies, such as domain randomization or domain adaptation, exist to bridge the …

Supermarkets need to implement safety measures to create a safe environment for shoppers
and employees. Many of these injuries, such as falls, are caused by a lack of safety …

Deep learning (DL) has achieved enormous success in a variety of application domains,
such as image processing, natural language processing, speech analysis, and medical …

Various embodiments disclosed herein describe a method comprising receiving indicia data
from an indicia scanner. The indicia data comprises at least decoded data obtained based …

Various embodiments disclosed herein describe a method comprising receiving indicia data
from an indicia scanner. The indicia data comprises at least decoded data obtained based …