Machine Vision Hardware

Machine vision hardware for precise industrial image processing

With increasing demands on resolution, frame rates, and AI evaluation, existing image processing and inspection systems quickly reach their limits. Modern machine vision hardware offers the computing power required for new cameras and complex algorithms to operate reliably. This ensures maximum precision in quality control and production.

More power for your machine vision systems

  • Power

    Our machine vision hardware offers maximum computing power for AI-supported image processing, deep learning, and real-time analysis.

  • Stability

    Designed for 24/7 operation in harsh industrial environments – vibration-resistant, temperature-resistant, and with long-term available components

  • Flexibility

    Scalable systems that are individually tailored to your camera, software, and interface requirements

  • Integration

    Easy connection to machine vision software, existing production networks, and automation systems

Our hardware for industrial image processing

Our preconfigured systems are specially optimized for industrial image processing. They offer high CPU and GPU performance, suitable interfaces for cameras, and stable 24/7 industrial design. Ideal if you want to get started quickly—without lengthy evaluation or integration efforts.

Our powerful platforms for machine vision applications

We offer expandable system platforms for complex or growing machine vision applications. They can be flexibly equipped with additional GPUs, frame grabbers, memory, or specialized I/O modules. Perfect if you need scalability, adaptability, and maximum future-proofing.

Use of machine vision systems in production and quality assurance

Quality control

In manufacturing, machine vision systems perform automatic optical inspection (AOI) of products, detect deviations in the µ range, and ensure consistently high quality standards.

Robotics

In industrial robotics, machine vision allows components to be positioned, gripped and assembled with precision, even when their position or shape varies.

Logistics & Sorting

In distribution centers, machine vision systems support the automatic detection, classification, and sorting of packages and goods to speed up processes and minimize errors.

Research & Development

In laboratories and test environments, machine vision systems are used to analyze movements, materials, or surface structures in order to advance data-driven innovations.

Successful in action


Discover how modern machine vision hardware is used in industrial applications in our case studies.

Find your ideal machine vision hardware

We develop and manufacture customised machine vision hardware that is tailored to your cameras, software and environmental conditions. Answer a few questions and we will recommend the right hardware for your application.

Become part of our machine vision ecosystem

We collaborate with companies that strengthen our machine vision ecosystem:

  • Camera and sensor manufacturers looking for reliable hardware platforms for their systems

  • Software providers for industrial image processing, AI, and deep learning

  • System integrators in the field of automation and Industry 4.0

  • Research institutions focusing on visual AI, robotics, or quality assurance

Our goal is to implement innovative and scalable machine vision solutions through close partnerships.

Are you interested in a partnership? Please use the following form to contact us.

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    FAQ

    Machine vision hardware includes industrial PCs, GPU servers, and edge systems that capture, process, and analyze image data. It forms the technical basis for automatic industrial image processing.

    Systems with GPU acceleration are ideal for computationally intensive applications such as deep learning and 3D machine vision. Powerful industrial PCs with high CPU performance and stable data interfaces are ideal for classic image processing.

    Yes—our systems are compatible with common interfaces (USB3 Vision, GigE Vision, Camera Link) and can be flexibly integrated into existing machine vision environments.

    Machine vision is geared toward industrial applications, while computer vision encompasses a broader, often software-centric field. Read more in the wiki article Machine Vision vs. Computer Vision: What are the differences? (DE)

    Machine vision refers to the automatic capture and evaluation of visual information by computers. Cameras capture images, which are then analyzed by algorithms to recognize objects, detect errors, or perform measurements—without human intervention.

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