Anmeldung beendet
Info
​​​​​​​STATUS QUO
In the Industry 4.0, the basic principle is that by connecting machines and systems, we can create intelligent networks along the value chain that control each other. Machine vision is based on capturing an image (typically via a camera), extracting a series of data from that image, analyzing the data and, once evaluated, making a decision accordingly. In this sense, cameras can communicate with each other and with sensors, PLCs, ejectors, encoders, lighting systems, and so on, enabling M2M (machine to machine) communication. In the past decade, these technologies have swept across the globe, as manufacturers across the world recognize their contribution to Industry 4.0.
THE CHALLENGE
Among all the manufacturing processes within the pharmaceutical industry, packaging is one of the most challenging. From blistering, cartoning and scales to bundling and palletizing machines, all of them compromise the packaging process in our industry. Having these processes under control and optimized is not an easy thing…so getting the correct data out of the machines becomes essential… so, which role and type of data can installed-cameras play to help us achieve a state-of-the-art data collection system that e.g. laser-sensors can´t? We would like to hear your ideas!
THE GOAL
Our goal is to create an environment where sensors and cameras work in tandem to deliver what we seek the most: relevant process data that facilitates improve line performance. With which concept do you imagine cameras can best help us achieve this? Inspire us with your ideas, concepts and machine-camera-man integration!
TIPS
- Go for simplicity and conceptual ideas
- Research is the easiest way to get inspiration 😉 – benchmarking what are the trends in Packaging. Then think about how cameras can play a role in it
- Don’t focus too much on certain machines – there are many different types of machines and we would like to have a scalable idea to fit them all
- Take into consideration that machines are normally mechanically set-up for certain products, e.g. position adjustment of certain parts. Think also on how this mechanic-set ups could be registered with cameras
- Don’t forget the diversity of cameras available
- Think outside the box and challenge yourself!​​​​​​​
For any questions or support, feel free to reach out to Ignacio Pena, Smart Factory Engineering Process Lead at Ignacio.pena1@bayer.com
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Timeline:
Registration Phase: June 08th- 21st- Kick-off: June 22nd
- Check-ins with supervisor in weeks 28 & 30
- Final presentation: July 27th
More information about our group: