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Data Acquisition for Foundation Models

Industrial manufacturing and process flows are - once established as series production - often repetitive.

While high-volumes are already automated by individual machines, smaller and medium volumes still require a high level of manual effort. Foundation models can offer enormous potential for AI-supported automation in this area, allowing employees to refocus on more complex tasks.

To make this possible, digitized training data from real-world processes is essential.

However, such data is currently still rare and difficult to capture. Accordingly, we are looking for technical solutions such as wearable sensors, motion capture systems, or similar technologies that can be used to digitally capture human movements, gestures, and actions as training data.

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The "AI - from foundation to edge" Challenge is your gateway to accelerate your startup's growth and make a real impact in Motion Technology. Applications will be opening shortly. Register your interest to receive updates and be among the first to apply.

FAQ

one challenges available

  • Industrial AI Foundation Models

    We aim to push the boundaries of AI-driven manufacturing by enabling state-of-the-art foundation models through scalable and high-quality data collection.

    We are seeking innovative startups and technology providers that can deliver efficient, DSGVO-compliant solutions for collecting and preparing proprietary high-quality datasets to train industrial foundation models.

    Key Criteria & Features of the Ideal Solution

    • Ability to capture fine-grain worker movements, assembly operations, and depth data
    • Scalable approaches (camera-based data capture, motion tracking gloves, full-body motion tracking kits)
    • In case of wearables, they should be comfortable and pleasant to wear
    • Minimal manual effort required for data acquisition and processing
    • Hassle-free setup for quick and flexible data collection
    • DSGVO-compliant (data privacy and security by design)

    The Perfect Fit Will:

    • Offer intelligent systems capable of capturing real-world industrial scenarios, including depth and spatial information
    • Allow temporal alignment of multi-modal data
    • Have a low barrier to entry, allowing people without prior training to easily start data collection processes

    Application Phase: OPEN

    Apply now
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For more information about the "AI - from foundation to edge" Challenge by the Schaeffler Group and STARTUP AUTOBAHN powered by Plug and Play reach out to us on social media or via E-mail.

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If you have any further questions that haven’t been answered by our FAQ, don’t hesitate to reach out to our project contact.

r.mayer@pnptc.com

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