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Manufacturing & Automotive

Manufacturing & Automotive

Optimizing production processes and striving for close to zero defects and customer complaints.

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With Machine Learning, production processes can be optimized by:

reducing the number of undetected defects
classifying defects automatically, creating transparency in real time
simulate production parameters in new production settings at scale to optimize production parameters based on data AND experience

Projects in Manufacturing & Automotive

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Automatic Planning of Solar Systems

Creative solutions enabled us to automate the process of planning solar systems

Defect Detection in Manufacturing

AI-supported optical defect detection for semiconductor laser production

Smart Access Control with Facial Recognition

We developed a multi-level security system with facial recognition for automatic access control.

Blog Posts in Manufacturing & Automotive

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Introductions

Project proposals - the first step to a successful ML project

By Emilius Richter July 18th, 2022

For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.

Computer Vision

Extracting information from technical drawings

By Frank Weilandt (PhD) July 16th, 2021

In this blogpost we show how both traditional and deep learning-based computer vision techniques can be applied for information extraction from exploded-view technical drawings.

Computer Vision

CLIP: Mining the treasure trove of unlabeled image data

By Fabian Gringel June 21st, 2021

Contrastive Language-Image Pretraining (short: CLIP) makes use of image captions to train a zero-shot image classifier. In this blog article I will give a rough non-technical outline of how CLIP works, and I will also show how you can try CLIP out yourself!

Projects

21 questions we ask our clients: Starting a successful ML project

By Emilius Richter May 21st, 2021

We discuss what questions should be considered and answered up front to launch a successful machine learning software project.

Tools

The best image labeling tools for Computer Vision

By The best image labeling tools for Computer Vision April 8th, 2021

Here we have a closer look at some of the best image labeling tools for Computer Vision tasks. We will install and configure the tools and illustrate their capabilities by applying them to label real images for an object detection task.

Natural Language Processing

How to extract text from PDF files

By How to extract text from PDF files August 17th, 2020

In the following I want to present the open-source Python PDF tools PyPDF2, pdfminer and PyMuPDF that can be used to extract text from PDF files. I will compare their features and point out some drawbacks.

Introductions

What is Reinforcement Learning? (Part 2)

By What is Reinforcement Learning? (Part 2) August 3rd, 2020

In the previous post we introduced the basics of reinforcement learning. The discussed setting was limited in the sense that we were dealing with a single agent acting in a stationary environment. Now we will take it one step further and discuss Multi-Agent Reinforcement Learning (MARL).

Introductions

What is Reinforcement Learning? (Part 1)

By What is Reinforcement Learning? (Part 1) April 27th, 2020

In this post we will give a quick introduction to the general framework of Reinforcement Learning (RL) and look at a few basic solution attempts in more detail. Finally, we will give a visual example of RL at work and discuss further approaches.

Use Cases in Manufacturing & Automotive

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