This paper explores cost-effective solutions for automated guided vehicle (AGV) through the design and implementation of a low-cost, hoverboard-based line-following AGV tailored for textile manufacturing environments, specifically within sewing plants. The designed AGV leverages the capability of a commercial hoverboard as its mobility platform, significantly reducing development costs while maintaining effective operational performance. Utilizing affordable sensors such as infrared line detectors and ultrasonic sensors, the AGV autonomously navigates pre-defined pathways marked on the factory floor. Its primary function is transporting materials such as fabric bundles and partially or finished products between workstations, addressing common logistical challenges in dynamic and labor-intensive textile production settings. The system is designed for easy integration with both existing plant layouts and information and communication environment, requiring minimal infrastructural changes. Field testing demonstrated the AGV’s reliability, maneuverability, and responsiveness in real-world sewing plant conditions. The proposed solution underscores the potential of retrofitting existing consumer electronics for industrial automation, offering a scalable and economically viable alternative for small- to medium-sized textile enterprises seeking to enhance productivity and workflow efficiency.

The main goal of this article is to depict the automation and digitization of the real production process and to describe an entire system for achieving complete product traceability based on a decentralized knowledge graph, blockchain, and Industry 4.0 technologies. Presented sys-tem architecture provides the possibility of interoperability between existing enterprise re-source planning systems and blockchain. Different traceability levels were accomplished in practice by using and combining certain Industry 4.0 technologies which led to full final product verification. At the same time, stated research undoubtedly illustrates the actual shift from a traditional production process to a digital one, which is firmly established on new technologies and the OriginTrail blockchain.

Using Neural Networks in Preparing and Analysis of Basketball Scouting | InTechOpen, Published on: 2012-08-29. Authors: Branko Markoski, Zdravko Ivankovic and Miodrag Ivkovic