Together with all of the positive points of AI we talked about in the previous paragraphs, it also has to be said that Artificial Intelligence is not a perfect solution to any given problem. AI is simply a tool to accelerate and enhance certain processes to help the worker complete a specific step of inspection or production faster and more reliable. For example, the AI used in AutoInspect mainly has the goal to reduce the numbers of false positives, where the classification system identifies an intact part of the workpiece as damaged. To reduce these false positives, the AI has to be taught many specific types of these possible misinterpretations in order to sort them out and not indetify those artefacts as damages. This process only makes the AI in this case usable and better than the manual inspection, because without an automatic detection and the sorting of these misinterpretations, a worker would have to select every false positive themselves and manually teach the program that a specific detected damage is, in fact no damage at all.
Also, if we compare the approach of classical image processing methods to the use of AI, is the AI really that much superior? In fact, the meaningful usage of Artificial Intelligence, like said before, only realtes to specific use-cases. It could be, that in many other applications, the installation and maintenace of such an AI-based inspection system might be even more cost- and time-consuming than just a simpler, classic approach. If the application doesn’t make sense for a specific use-case, it simply isn’t the superior way to use an AI. This can either be based on the effort of making the system work, or the general application field of the system in question. It should always be considered to upgrade an existing system with AI, but if it doesn’t improve the system for the specific case, it shouldn’t be integrated.
Another point to look at critically, is the data security of AI systems. If for example, a worker can be seen in the visual inspection data, what does the Ai do with this personal information? Should there be a tool to keep the workers anonymity safe? These are all questions that should be in mind, when thinking about the integration of AI into a system. In europe the GDPR (DSGVO) privacy protection rules are strict and one should always make sure that new technologies like AI follow these guidelines. It is very important to ensure privacy protection for everyone, which is why we at 3D.aero have ways to anonymize persons in pictures to make sure, the privacy right remain intact.
The theory of the Gartner Hype Cycle shows, how well a new technological accomplishment holds itself in the attention center of the public over time. In most cases, the attention steadily increases after a new technological discovery because of the new opportunities that come with it. The knowledge and usage of the new technology spreads widely into the public and in the industries. But after a specific time, the peak is reached and the attention starts lowering. Maybe because of new inventions, maybe because people discover that they cannot use the new technology for their own purposes, or because the new system can’t do what really was intended in the first place. Only after this low point, the industries that keep working on the system can understand and improve he application, after which the real productivity level off attention is set and steady. This also can be applied to the usage of Artificial Intelligence. We might actually be at the peak of the AI-usage attention all over the industries in the world. But only the industries – like us – that can adapt and improve the system, can reach the goal of improved productivity.
To conclude this discussion, it can be said that if the use-case is able to apply a functioning AI into its system, then this could possibly be a way to really improve the process. But this is not always the case. AI is a complex and powerful tool with many possible ways of functionality, but it has to be carefully thought of, before integrating AI into an existing system only because it is a current trend.