WO: Bachelor End Project - OPC vision system

Are you interested in setting up a computer vision system? Do you like applying computer vision in a practical setting? Are you able to make the next step in our automated quality checks? Then we are looking for you!

Your assignment
Canon Production Printing (CPP) designs and manufactures both inkjet and toner printers. The toner printers use an Organic PhotoConductor (OPC), which is the initial step in forming the image. This OPC is made up of multiple thin layers of organic material. We ensure these layers are flawless by making them in a clean environment. Plus, our operators meticulously check every OPC for defects. They sort out if it's a fiber, dust, or something else. Any defect can mess up print quality, which is why we stick to strict guidelines.
The problem is that visual classification varies a lot by person, so errors are pretty common.

To reduce dependency on individuals, CPP is exploring whether classification by a computer, using machine learning techniques, can be used to automatically identify these defects. So, we started collecting images along with details of the defects in them.

There are several dozen types of defects and tens of thousands of labeled images to work with. Your task is to build a machine learning model (like CNN) that can identify defects in an OPC from these images. Plus, you'll need to tweak the model's parameters to boost its performance. The goal here is to see how well vision models can really perform.

Your profile
We look for someone that is has a long-term view and is able to oversee long-term implications of decisions. In addition;
•    You are currently studying computer science, electrical engineering, information systems engineering, data science or related study with industrial interface.
•    You like setting up an entire process to introduce AI in an automated line
•    You are able to communicate with stakeholders from a diverse set of backgrounds and possess a good long-term view
•    You are available for a Bachelor End Project (Hybrid)

What’s in it for you?
•    A challenging assignment with skilled coaching
•    Internship/Graduation compensation of €500,- per month (fulltime)
•    Travel cost compensation if you don’t have an ‘OV-weekcard’
•    The possibility to network with professionals inside and outside your field of expertise, thanks to our diversity of disciplines which you will work with
•    With our company values collaboration, innovation and ownership, we strive to bring out the best in each other, expand boundaries and feel empowered to take ownership of our work.

Interested?
Are you interested in this assignment? Please click on the button 'apply now' at the top on the page where you can upload your resume and motivation letter. If you would like to receive more information concerning this assignment, please contact Erwin Smit, erwin.smit@cpp.canon.

If you have any questions about the internship in general, please contact Milou Geelen, + 31 6 25653192 
 

Over Canon Production Printing
Canon Production Printing ontwikkelt en produceert hightech productieprinters en workflow software voor de commerciële printmarkt en is onderdeel van Canon, een toonaangevend technologiebedrijf dat ernaar streeft mensen te helpen de grenzen van de mogelijkheden van beelden te verleggen. Canon Production Printing is actief op drie continenten, heeft ongeveer 3.300 werknemers (eind 2022) en heeft haar wereldwijde hoofdkantoor in Venlo, Nederland.

Meer informatie over Canon Production Printing is beschikbaar op cpp.canon.