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"An In-Depth Analysis of the Current State of the Machine Vision Industry."

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As the concept of smart manufacturing gains traction, more companies are incorporating machine vision inspection projects into their agendas. This text discusses some of the cognitive issues and pain points between vision companies and their customers.

Overall, there are different pain points at the communication, implementation, and acceptance stages of vision projects. While acknowledging these issues is important, solving them can be challenging. In the initial communication phase, industrial vision inspection, which is inherently application-based, often cannot seamlessly integrate with existing standards or customer-specific requirements.

Whenever a project demand arises, there seems to be a prevailing mindset of "speed above all else." Companies rush to respond to customer demands to avoid losing out to competitors. This often leads to rapid investment by vision companies in terms of hardware and personnel. Since industrial vision products and engineers require significant resource dedication, attempting to compete in a highly customized project involves substantial sample and manpower investment. Engineers may need to spend considerable time on software testing and providing solutions, all while customers frequently change their requirements, leading to significant resource strain.

However, even extensive efforts do not guarantee high project success rates. From industry experience, achieving a 30-40% success rate after evaluating 10 projects is considered exceptional. This not only increases financial costs but also leads to significant opportunity costs for vision suppliers who could have pursued other projects.

To mitigate this, the root cause lies in the extreme information asymmetry between suppliers and customers. To address this, vision suppliers must break down this barrier, gathering enough information to evaluate the feasibility and technical viability of the project.

Communication with customers should be on equal terms, with a thorough understanding of the current automation level and urgency for implementation. Each company should establish its own communication process or technical memorandum based on its products or industry characteristics to ensure efficiency without sacrificing speed.

Even if industrial vision suppliers are fortunate enough to win a project, the implementation and acceptance process does not guarantee that all details discussed earlier will be flawlessly executed. Many companies face customer demands for modifications or last-minute changes, leading to significant additional costs and effort. This can create a cycle of endless modifications, wasting resources, and delaying payments, causing substantial frustration. At this point, technical documentation from the initial communication phase becomes crucial.

Furthermore, another significant pain point is the lack of skilled professionals in industrial machine vision. Despite providing outstanding products and systems that boost customer production efficiency and reduce manual labor, vision companies face a talent shortage. This talent crisis is exacerbated by the rapid growth of the internet and AI industries, which draw talent away from smaller vision companies. Consequently, skilled professionals have seen a dramatic price increase due to the severe imbalance between supply and demand.

Despite these challenges, some companies are innovating in governance to attract talent. One company has broken down traditional hierarchical structures, transforming into a platform for employees, allowing small teams to operate efficiently like a neural network, providing a vibrant and adaptable work environment. This shows that organizational innovation can be more effective than technological changes in creating sustainable business growth.

While these are only some of the industry's pain points, the intent is not to complain but to highlight areas where significant opportunities exist. Machine vision in industrial settings may currently be in a hype phase, with high expectations, but after this peak, there may be a decline. The key to sustained success is acknowledging these issues, maintaining focus, and providing excellent technology and customer service for long-term success.

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.

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