Intern for Detection of soft and hard objects with vision and machine learning NL (internship)

Sparck Technologies offers a position computer vision and machine learning intern

Job title: Intern for Detection of soft and hard objects with vision and machine learning
Education level: Education level MBO level 3, MBO level 4, HBO Associate Degree, HBO-Bachelor, HBO-Master, WO-Bachelor, WO-Master
City: Drachten
Hours per week: 32 – 40
Availability: Available from September 2023
Internship duration: 5 – 6 months
Type of internship: Cooperation/Graduation internship

Job description

Sparck Technologies BV is an automated packaging solution provider with a decade of experience built on a spirit of innovation and commitment to improving our environment. We have been leading with purpose when it comes to eliminating excessive packaging and saving companies valuable resources. While we continue to make a positive difference to the world around us, our success is not only due to the quality of our product. We only succeed with the combined strength and diversity of our global team who are truly passionate about our packaging mission. Together we are creating a better future – for the planet, for future generations and for every Sparck Technologies team member.

We need to be able to detect if an object on a conveyor belt is a ‘hard’ object, for instance a shoebox, or a ‘soft’ object for instance plastic-wrapped clothes. We envision this could be achieved with computer vision and machine learning.
The assignment will be to assess the feasibility and if so, design, train and implement a working solution/demonstrator. The intern is free to select a machine learning platform, Our preference is that the trained model will be able to run in OpenCV and C++.

Responsibilities

You will have the following responsibilities:

• Assess the feasibility
• Advise us in which machine learning framework to use
• Create/collect training data
• Deliver a working solution

You will be using the following tools and techniques:

• C++
• OpenCV
• Machine learning
• SVN
• Agile
• Excel
• Word

Requirements

• Creative
• Independent
• Flexible

We offer

• Experienced supervisor
• Opportunity to be part of the engineering team of a leading company in packaging solutions
• Internship compensation

Your application

If you are interested in this position then please contact Kasper Jansen: (k.jansen@sparcktechnologies.com), +31512589300 or Recruitment (recruitment.nl@sparcktechnologies.com)