Rojek I, Dostatni E, Kopowski J, Macko M, Mikołajewski D. AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm.
SENSORS (BASEL, SWITZERLAND) 2022;
22:8107. [PMID:
36365805 PMCID:
PMC9656927 DOI:
10.3390/s22218107]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. The aim of this publication is to present the novel concept of support by artificial intelligence (AI) for quality control of AM of medical devices made of polymeric materials, based on the example of our own elbow exoskeleton. The methodology of the above-mentioned inspection process differs depending on the intended application of 3D printing as well as 3D scanning or reverse engineering. The use of artificial intelligence increases the versatility of this process, allowing it to be adapted to specific needs. This brings not only innovative scientific and technological solutions, but also a significant economic and social impact through faster operation, greater efficiency, and cost savings. The article also indicates the limitations and directions for the further development of the proposed solution.
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