Access World-Class Expertise on Machine Vision When You Need It Most

Companies that have automated using machine vision have seen waste reduced and greater profits realized. Like all types of automation, advances are being made in imaging equipment with uses in many different types of applications.

Finding a trusted resource is essential to learn the latest on imaging components like cameras and cables. The need for employee training, staying on top of future developments to increase profitability, and finding integrators that adhere to high standards is part of maximizing the technology.

To cover important topics from components to industry standards, turn to AIA – The Association for Advancing Vision + Imaging, and its website, Vision Online, a global resource and leading voice in machine vision.

The Foundation

Cameras, cables and lighting are included in the Components of Machine Vision Systems as shown in this summary on AIA’s website. The organization connects manufacturers and end users via new product news, tech papers, and case studies. Knowing what systems to use and why for daily operations is essential in setting up a strong foundation.

Industrial Strength

Knowledge is power and having a staff that’s trained in the latest imaging techniques and best practices achieves two goals.

The first is ensuring that employees can supervise and use a machine vision system properly. The second is increasing employee satisfaction by empowering them to do their job well through professional development.

AIA makes training convenient through an array of resources on its web site including a set webinar schedule. Sessions like Machine Vision Design and Configuration and Vision Guided Robotics: Techniques for Pick and Place Applications address important operational needs.

Webinars are also industry specific and benefit users who are newer to automation while helping veteran users navigate what’s important.

Seeing the Future

In food processing, what qualities make an apple acceptable to pass along for packaging and what needs to be rejected? Answering that question shows the difference between traditional machine vision and a future that makes greater use of artificial intelligence.

The article Artificial Intelligence: Machine Vision’s Next Frontier describes how computers can learn from experience instead of being explicitly programmed.

Deep learning systems work well with items that are “non-linear” and don’t easily fit within a rules-based system.

AIA’s in-depth articles cover current and future trends, and provide in-depth, actionable insight into how companies across the value chain can improve their operations.

Putting it All Together

Just like a well-run vision system, AIA facilitates learning and interaction among 362 member companies from 32 different countries. An online Ask the Experts forum gives answers to questions from end users.

AIA also establishes industry vision standards and offers a Certified System Integrator Program, an opportunity for integrators to show they have achieved the highest industry standard in their work.