AI-Driven Quality Control represents the cutting edge of manufacturing technology. It leverages machine learning, computer vision, and data analytics to automate the inspection process. Manual Inspection relies on the trained eyes and experience of human inspectors.
Choosing how to track energy use is a key decision. There are two main ways of gathering energy data: Physical Energy Meters, and Production Cycle Estimation.
We want to send a warm “Thank You!” to all our clients and partners for embarking on this long journey of making Industry 4.0 become a reality. 🤟
We wish you all a heartfelt Merry Christmas and Happy New Year, and to get twice as badass in 2024!
No matter what shop floor issues you encounter, having an AI tool like ours will allow you to adapt your production plan accordingly. Less deadlines that are not met, more efficient changeovers, and less time spent on planning.
Octavic’s Advanced Analytics Module allows its users to go in-depth on the data that’s being collected, providing the capacity to pinpoint any inefficiencies that keep back your OEE from increasing.
Octavic’s Operation Transparency module is the backbone of any of our projects, and provides not only real-time data collecting capabilities, but also some add-ons that we know for sure will prove handy.
At Octavic, we are all about getting you the level of visibility and control that you always wanted to have on your shop floor. Whether you need to collect data automatically or want to keep a close eye on your energy consumption, our team impatiently awaits your email ;)