Are you missing these four AI machine vision tips?
AI-based vision systems create new opportunities for visual inspection that were previously impossible, creating opportunities for production improvements. More challenging industrial vision-inspection applications may be harder to maintain than traditional machine-vision applications.
- Understand how improvements with AI based vision systems help manufacturers.
- Learn how manufacturers can prepare to maintain these new systems.
- Review the importance of retraining of operators.
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.
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, firstname.lastname@example.org.
Are AI advances improving your machine-vision capabilities?