Deploying AI solutions requires teams of dedicated scientists

Although the development and design of AI requires a certain amount of expertise, modern AI solutions have become easier to deploy. Cognex’s edge learning technology, in particular, has greatly simplified the deployment process. Cognex’s edge learning solutions run inside smart cameras. This smart camera is equipped with an integrated light source, an autofocus lens, and a powerful sensor that work together to provide accurate detection.

Operators do not need to have expertise in deployment, and even non-vision experts can train edge learning tools and produce accurate results in minutes. This makes edge learning a viable automation solution for everyone from machine vision beginners to experts. By eliminating reliance on complex infrastructure and reducing the need for expertise, Cognex’s edge learning technology enables more people to leverage AI technology to improve productivity and quality.

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AI is not a short-lived fad, nor is it a proprietary technology only applicable to a specific market, but it is involved in a wide range of fields to assist industry in many ways. As the technology continues to evolve, AI is becoming more convenient and field-tested in the manufacturing and logistics industries, supporting simplified quality control, improved product traceability, and early identification of production defects.

By clarifying the above common misconceptions about industrial AI, hopefully you will gain a more accurate understanding of the practical applications and potential of AI. Cognex’s AI technologies, particularly edge learning solutions, are enabling companies to increase inspection efficiency, reduce production costs and improve product quality in unprecedented ways by eliminating the need for complex infrastructure and large data sets and reducing the need for expertise.