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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

Using machine learning, computer vision and object recognition, dida succeeded in developing a software to automatically plan solar based on satellite data.

Defect Detection in Manufacturing

Machine learning in production: We did the development of AI-based optical defect detection software for the semiconductor laser production.

Smart Access Control with Facial Recognition

Machine learning and security systems: Development of a multi-level system with facial recognition and automated access control using AI.

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 (CLIP): Read about the functionality as well as applications of the CLIP model, a zero-shot image classifier.

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

Read here about the best image annotation tools for computer vision tasks. Everything from the installation to illustration with an example.

Natural Language Processing

How to extract text from PDF files

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

Comparison of the open source Python PDF text extraction tools PyPDF2, pdfminer & PyMuPDF. Read about tools for extracting text from PDF files here.

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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