Integrating Computer Vision and Robotics for Automated Quality Control in E-commerce Warehousing

Abstract

Abstract
The rapid growth of e-commerce has imposed unprecedented demands on warehousing operations, especially in the domain of quality control (QC). The combination of computer vision (CV) and robotic systems offers a promising pathway to automate QC tasks, enabling high throughput, precision, and adaptive handling of a broad SKU range. This article presents a comprehensive examination of the integration of CV and robotics for automated quality control within e-commerce warehousing environments. We begin with a technical overview of CV and robotic subsystems, followed by an extended literature review of CV in warehousing, robotics in material-handling, quality control automation, and the convergence of these technologies. We then outline an applied architecture for CV-robotic QC in e-commerce warehouses, discuss key implementation challenges, evaluate case studies and industrial applications, analyse performance metrics and compute-/cloud-edge considerations. The final sections address organisational, workforce and ethical issues, as well as a research agenda for future work. The article concludes that, while substantial technical and organisational hurdles exist, an integrated CV-robotic QC framework can deliver strategic advantage, quality assurance, and cost efficiency, provided that system design, deployment, and human factors are appropriately addressed.