Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …

Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

Pallet racking is an essential element within warehouses, distribution centers, and
manufacturing facilities. To guarantee its safe operation as well as stock protection and …

Quality inspection and defect detection remain critical challenges across diverse industrial
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …

Data retrieval, access, and tuple identification are inevitable in database processing,
ensuring performance. The entities and relationships form a relational database. Data …

This paper proposes a Convolutional Neural Network–Block Development Mechanism
(CNN-BDM) enabling the development of a lightweight deep learning architecture for the …

Pallet racking is a fundamental component within the manufacturing, storage, and
distribution centers of companies around the World. It requires continuous inspection and …

As manifestations of Industry 4.0. become visible across various applications, one key and
opportune area of development are quality inspection processes and defect detection. Over …

Products and services relying upon Artificial Intelligence (AI) have moved from mere
concepts to reality. However, challenges still exist in applying AI technologies to traditional …

The aim of this research is to develop an automated pallet inspection architecture with two
key objectives: high performance with respect to defect classification and computational …