Tom Brennan

Quality might in theory be top priority, but most manufacturing operations run on ROI (return on investment). You have to show a one-to two-year payback to get something funded at an existing plant.

Amid the AI hype, we should ask if we're using it to achieve specific goals or just for the sake of it. The value of AI lies in its real-world application, not just as a buzzword. It's important to stay focused on our objectives and the challenges we aim to solve.

Vision systems provide peace of mind when it comes to production quality but they can also generate valuable data that tracks process variability. Diving into the world of vision data can seem overwhelming, but with the right tips and tricks you can set up a system to work for you.