Work

An embedded vision warehouse management system architecture for pallet identification and tracking

Year: 2025

Type: conference-paper

Abstract: An embedded vision architecture for the detection, identification, tracking and pose estimation in the 3D space of different types of pallets in warehouse management and logistics is presented here. The proposed hardware and software architecture was implemented in the context of the EV-Lib funded project and is able to provide a fully working system for monitoring and assessing the types, 3D positions and locations of pallets and boxes in real-time in a warehouse environment or distribution center, based on a vision system infrastructure and edge artificial intelligence methodology.

DOI: 10.63438/uimd8766

Authors: Christos Theocharatos, Vassilis Tsagaris, Ioannis Papakonstantinopoulos, Dimitris Kastaniotis, Nikos Fragoulis

Institution: Irida Labs (Greece)

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Funder: European Commission

OpenAlex ID: W4409544700