Can machine learning speed up manufacturing and improve throughput?
Manufacturing at full capacity means making every second count. If you can find the bottlenecks that are slowing down your assembly line, you can increase efficiency and productivity.
Manufacturing managers, roaming the factory floor, can address delays, but they can’t be everywhere at once. The engineers in Advantech’s new AIoT division wondered if they could help, by using video analytics to find holdups faster.
Working with the Edge Impulse team, Advantech developed a monitoring system that flags even tiny delays, for more precise fine-tuning with less human oversight. The new setup, now in place on a live assembly line, can easily be re-trained to monitor other production tasks.
Find out what happened by downloading the case study.
What’s inside?
- How Advantech used Factory 5.0 techniques, based on edge-driven artificial intelligence (AI), to help offload
manufacturing managers, automate assembly-line monitoring, and increase productivity. - The Factory 5.0 approach to increasing productivity
- How to create fast, smooth development without AI experts
