Are you missing these four AI machine vision tips?

AI-based vision system insights

• Improvements with artificial intelligence-based vision systems can help manufacturers.

• Manufacturers can prepare to maintain these new systems in several ways, including retraining of operators.

Vision systems using artificial intelligence (AI) are creating more opportunities for visual inspection than were previously impossible using traditional machine vision technologies. Many leading companies are leveraging new AI based vision systems from established machine-vision providers and from new players in the field.

AI-enabled machine vision has new capabilities and power, but also some of the challenges that come from neural network or machine learning-based systems. Production improvements are being realized as AI-enabled machine vision is used to pursuing applications that were previously impossible. New AI-machine vision applications may be harder to maintain. System integrators can help with implementation, training, remote access for support and with reconfiguration as application needs change.

Example: Remote access, training for AI-based machine vision

Food manufacturers with AI-based vision systems need to ensure staff members are trained and capable or that remote access is securely configured for vendor support. It is common for food manufacturing processes, systems, packaging or products to evolve or change over time. After such changes, the AI-based vision system also likely will require retraining or retuning.

Cognex launched the In-Sight 3800 vision system for fast, accurate AI-based inspections in spring 2023. The high-speed, high-resolution system is designed for high-speed applications. Cognex says its intuitive, point-and-click EasyBuilder interface guides users step-by-step through the development process for common applications; a spreadsheet interface enables finetuning of job parameters for advanced or highly customized applications. Courtesy: Cognex

When automated applications change, manufacturers should expect the need to adjust automation as the process changes and plan accordingly (with internal resources or remote access). System integrators can use AI and machine vision application expertise to recommend and guide other manufacturers on similar upgrade projects. System integrator experience shows value in deepening remote access capabilities and providing support for AI-based vision tools when clients lack capabilities or visibility into automated operations.

David McKenna is smart packaging practice leader at Grantek. Edited by Mark T. Hoske, content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com.

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