Lucid Vision Labs, Inc., is set to introduce the first member of its intelligent vision camera family, the Triton® Smart featuring Sony’s IMX501 intelligent vision sensor with AI processing.
A recent report by the National Academies of Sciences, Engineering, and Medicine highlights data quality as a significant concern for the reliability of digital twins.
The Digital Twin Consortium (DTC) Composability Framework provides a transformative approach to digital twin system development, focusing on interoperability, security, trustworthiness, scalability, and design reuse to align with businesses’ objectives and evolving needs.
At some point in the creation of any product, whether it be plastic moldings, consumer electronics, or even welds on nuclear power plant steel, it undergoes magnified and optical visual inspection.
In manufacturing, microscopes and magnified viewing systems are crucial for inspecting products. Digital microscopes offer enhanced capabilities and AI-assisted inspections, revolutionizing the way manufacturers view and interact with macro and microscopic details.
The singularity—or more accurately, the technological singularity—“is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for human civilization.”
The growing use of AI in manufacturing has revolutionized quality control. Traditional inspection methods struggle to keep pace with complex production processes, but AI augments accuracy and efficiency, upholding high-quality standards.
The manufacturing industry has a significant labor shortage. We need to attract new talent and upskill our existing workforce, especially by embracing candidates without degrees and leveraging technology for training at scale.
If the supply of qualified personnel is inadequate to meet the needs of industry there will be greater efforts to automate and utilize artificial intelligence to perform and evaluate NDT.
Manual methods of performing nondestructive testing (NDT) and human evaluation of the results are rapidly being replaced by automated, digitized, and artificial intelligence interpretation of the results wherever economically feasible.
Machines can accomplish so much of what humans used to do. Now is the time to leverage technology while capitalizing on the unique qualities humans bring.
Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.