Thesis Proposal - Image-Similarity Algorithms for Detection of Faulty Units in Production Tests
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Background
Electronic production-testing is the process of verifying proper functionality of manufactured electronics before they are shipped to customers or integrated into systems. Certain types of functionality require external cameras that capture an image of the device under test (DUT) and use that image to determine if the DUT is functional or not. This can for example be achieved by matching images of a DUT in production against images of a working reference and thereby determining if the unit is working or not.
Because it is very costly to approve faulty DUTs, the algorithms that process these images of produced units need to be accurate and robust to the varying conditions in a typical production-facility such as lighting.
Description of the thesis proposal
The student will evaluate pros and cons associated with different image-similarity algorithms and evaluate them against an appropriate benchmark. The student might, for example, evaluate histogram-based solutions or CNN-based solutions. But the student is free to explore any class of methods they see fit or develop their own algorithms.
For successful thesis work, we believe that the applicants should have
Basic knowledge of Signal Processing, especially Image Processing.
Strong skills in Python for AI, data processing and mathematical computations.
For example: Tensorflow or Pytorch, Numpy.Theoretical knowledge of Convolutional Neural Networks
Basic knowledge of mathematical statistics
Good knowledge in both Swedish and English, speaking and writing.
To give you the best possible support during your thesis, we’d like you to be able to come to the office connected to the project and spend most of your time working from there.
Application:
We look forward to receiving your resume, and preferably, a personal letter in which you explain why you want to write your thesis with Syntronic.
We screen and evaluate applications on an ongoing basis. The thesis project may be filled before the application deadline.
- Department
- Studenter
- Role
- Examensarbete
- Location
- Gävle
Gävle
Benefits
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Work life balance
Flexible working hours.
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Wellness
Wellness allowance and Benefit (a benefits portal that gives instant access to rewards and discounts).
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Health and insurance
Beneficial pension agreement with personal provisions and insurance. Private health insurance options.
Workplace and culture
Syntronic offers an innovative, collaborative, and inclusive working environment. We believe in the notion “choose a job you love, and you will never have to work a day in your life.” Our team of creative out-of-the-box thinkers consists of motivated engineers from all walks of life with extensive experience.
Ideas, creativity, and new perspectives flow freely in our professional environment. We are convinced that the best results are achieved in an environment where people lift each other up and help each other grow. At Syntronic, we believe that excellence can be achieved when great minds work together.
About Syntronic
Syntronic is a global design house on the frontline of new technology. Our areas of expertise are advanced product and system development, production, and aftermarket services in the telecom, automotive, industrial, and medtech sectors.