Machine vision in automotive is often associated with advanced systems capable of automatically detecting any defect. However, this perception oversimplifies a technology that, when properly applied, can be extremely powerful, but also requires a rigorous approach. Understanding what machine vision really is, and what it is not, is essential before considering its implementation in a…
The automation of visual verification can become a turning point in a plant’s performance. However, it can also lead to frustration if approached without a proper technical and strategic plan. In many industrial projects, the problem is not the technology itself, but the way in which the decision is made to implement it. Automating a…
The automation of parts inspection is one of the most significant decisions in the evolution of automotive quality control. However, it is not always the right answer, nor at any point in the production cycle. Automating due to competitive pressure or technological trends often leads to oversized or poorly integrated solutions. The question is not…
In the automotive industry, quality leaves no room for interpretation. However, in many verification processes, the decision on whether a part is compliant still depends on human judgment. Subjectivity is not always obvious, but its effects are: differences between shifts, inconsistent rejections, or internal discrepancies that affect process stability. Eliminating subjectivity does not mean eliminating…
For decades, manual visual inspection has been the most widespread method for verifying automotive parts. Its apparent simplicity and low initial cost have made it a common solution in production processes with high quality standards. However, in today’s industrial environments, characterized by higher volumes, multiple references, and traceability requirements, manual inspection is beginning to show…