Blogs on computer vision » Lamarr Institute

Digital representation of warehouse augmented with virtual blueprints of logistics systems

From Sketches to Digital Warehouse Layout with the WarehouseDesigner

Christian Pionzewski, Maximilian Otten, Anike Murrenhoff,

29. October 2025

AI is changing warehouse planning: WarehouseDesigner transforms simple sketches into digital, optimized warehouse layouts in seconds, accelerating the planning of modern warehouse systems....

Smart Logistics and Object Tracking: A Futuristic Vision of Transportation and Supply Chain Management

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Computer Vision in Yard Logistics: Robust Object Tracking in Real Time

Christian Pionzewski, Antonia Ponikarov,

22. May 2025

Want smarter logistics? Real-time object tracking with computer vision boosts efficiency, delivers actionable insights, and tackles key challenges. Discover tech and use cases....

Futuristic image of an advanced robot with a sleek, modern design. The robot is working on a high-tech holographic interface displaying data and digital models. In the background, glowing screens with charts and real-time data enhance the futuristic, technological setting. The scene highlights innovation, artificial intelligence, and the integration of technology into the physical world.

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Embodied AI Explained: Principles, Applications, and Future Perspectives

Dr. Julian Eßer,

15. January 2025

Embodied Artificial Intelligence refers to AI that is embedded in physical systems, such as robots, and can interact with the surroundings. Explore what Embodied AI is, its core principles, and potential applications. ...

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Deep Learning-based Re-Identification in Logistics

Christian Pionzewski, Antonia Ponikarov,

17. January 2024

Deep learning-based re-identification can be used to recognize objects of the same type in images. The computer vision method is successfully used to automate processes in intralogistics....

00 Blog Weikhman Otten Object Detection 1 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogBasics

Object Detection: How machines recognize objects

Luise Weickhmann, Maximilian Otten,

31. May 2023

With the help of object detection methods, machines can be trained to recognize and locate objects. In this blog post, we provide an overview of this area of computer vision....

00 Blog Gouda Bin Picking - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

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ML in logistics: How can CNNs make automation in bin picking more efficient?

Anas Gouda,

13. April 2022

The scope of application of convolutional neural networks (CNNs) in industry and logistics is currently still limited, although they can help to efficiently automate various tasks. Various application methods can promote their use....

00 Blog Pionzewski Computer Vision - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogBasics

Computer vision: How do machines learn to see?

Christian Pionzewski,

09. March 2022

Machine Learning enables the development of powerful image recognition systems (computer vision) with which information can be automatically recognized and extracted from images and videos. Deep learning methods in particular have an advantage over traditional methods....

00 Blog Weizenbaum 2 9 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

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Data Annotation for Computer Vision: How Power Shapes Datasets and Systems

Milagros Miceli, Martin Schuessler,

04. August 2021

Within Computer Vision, humans define how machines interpret the world. Researchers at the Weizenbaum Institute identified power differentials and commercial interests in data annotation that influence how systems learn to “see“....

00 Blog Peeren - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

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On the Edge – The deployment for AI of the future?

Christian Peeren,

07. April 2021

Edge Deployment enables the secure and resource-efficient processing of large data streams in real time as well as decentralized data management and training in Machine Learning. AI-based applications can thus be brought into production....