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Can Machine Vision Inspection Replace Human Visual Inspection?
As technology advances, robots and related smart devices are increasingly being used in industries. This raises the question: can machine vision systems replace manual inspection by human eyes?
To discuss this topic, we need to consider two key aspects: cost and technology.
Cost Considerations
Replacing human visual inspection with machine vision systems requires significant upgrades, posing a financial challenge for small and medium-sized enterprises (SMEs). Additionally, machine vision systems require skilled personnel to operate, adding to the costs. Consequently, machine vision-based inspection is typically found in large enterprises with significant resources, while SMEs may not consider it unless absolutely necessary.
Technical Limitations
Compared to cost, technology is a more critical factor. One significant technical hurdle in machine vision inspection is lighting. If the images obtained require careful human interpretation, it makes the algorithmic process much more complex. However, if the lighting setup is well-designed to highlight the desired inspection features, creating algorithms becomes much easier.
Machine vision systems currently struggle with unexpected defect detection. They work by identifying specific defect patterns based on predefined criteria, leading to potential missed defects if they haven't been previously encountered or occur in varied forms. Human inspectors, on the other hand, can identify new defects through judgment, even if they haven't seen them before.
Despite the presence of numerous smart camera and software suppliers, most offer similar functionalities with minor differences. They rely on fixed patterns and steps to analyze images and identify predefined features, lacking truly revolutionary intelligent algorithms.
Stability Advantage
While machine vision systems may not achieve human-level intelligence and adaptability in the short term, they excel in stability. Human inspectors, even with well-designed reward and punishment systems, may still miss defects due to negligence or oversight. Machine vision, however, consistently inspects without such lapses, making it more reliable for stable detection in factory settings.
Cost-Effectiveness
As machine vision technology advances and prices decrease, it becomes more accessible. Generally, a four-shift system in a factory requires four operators, costing over 200,000 yuan annually. With a similar budget, a complete machine vision system can be implemented. This cost advantage, along with the stability benefits, makes machine vision inspection increasingly appealing.
Conclusion
While machine vision systems are not yet intelligent enough to replace human inspectors entirely, their stability and cost advantages make them a growing trend in industrial applications. The primary barrier to widespread adoption is the lack of sufficient intelligence in machine vision systems. As technology improves, this barrier is expected to diminish, leading to broader adoption of machine vision inspection systems.
FALenses Technology specializes in providing machine vision core hardware. You can go to the official website of FALenses Technology at https://www.falenses.com/ for more information.
