Search Results for author:
Found 8 papers, 5 papers with code
TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains
We propose a tampering detection pipeline that utilizes keypoint detection to identify the eight corner points of a parcel.
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics
We work towards detecting mishandling of parcels by presenting a novel architecture called CubeRefine R-CNN, which combines estimating a 3D bounding box with an iterative mesh refinement.
Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing
Computer vision applications in transportation logistics and warehousing have a huge potential for process automation.
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics
This approach of image scraping and selection relaxes the need for a real-world domain-specific dataset that must be either publicly available or created for this purpose.
TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases
While common image object detection tasks focus on bounding boxes or segmentation masks as object representations, we consider the problem of finding objects based on four arbitrary vertices.
An Image Processing Pipeline for Automated Packaging Structure Recognition
Dispatching and receiving logistics goods, as well as transportation itself, involve a high amount of manual efforts.
Fully-Automated Packaging Structure Recognition in Logistics Environments
Within a logistics supply chain, a large variety of transported goods need to be handled, recognized and checked at many different network points.
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection
Our approach is motivated by logistics, where this assumption is valid and refined planes can be used to perform robust object detection without the need for supervised learning.
