IDS camera technology powers flexible AI-supported visual inspection system

Test station in production environment

Practical inspection – from plastic parts to circuit boards
In live operation of the preML Vision Lab software, the uEye XC captures a plastic dowel, for example, and automatically checks it for deviations. Test models can be created, managed and evaluated in real time directly on the device.

Automated quality control of a plastic dowel with the IDS uEye XC and preML Vision Lab: Test model and presentation of results in live view.

Electronics manufacturing provides a practical example: TOP. Thomas Preuhs GmbH uses the flexible inspection system to check manually assembled printed circuit boards. The combination of powerful camera technology and an AI-based inspection model opens up a new level of automation with minimal operating effort. David Fehrenbach, founder of preML, emphasizes its ease of use: “Our solution fills a crucial gap in the market. For the first time, skilled personnel without knowledge of image processing or AI can independently, intuitively and directly teach, manage and perform visual quality inspections on the device itself.”

uEye XC – Image quality and ease of use
The uEye XC combines the ease of use of a webcam with the reliability of an industrial camera. A single cable connection is all that is needed for installation and commissioning – an advantage in manufacturing environments where systems are frequently converted or expanded. Inside, the 13 MP sensor AR1335 from onsemi delivers high-resolution images for reliable fault detection. The autofocus sharpens automatically and maintains consistent image quality, even with varying object distances.

Jürgen Hejna, Product Manager 2D Machine Vision at IDS, describes it as follows: “The uEye XC is designed for users who require reliable image quality without significant integration effort. The autofocus camera automatically focuses and enables perfect distance adjustment. Its sensor delivers 20 fps at full resolution and, thanks to BSI technology, can also cope with changing lighting conditions.” A quick-change macro attachment lens extends its use at close range: It reduces the minimum object distance and enables the precise detection of small structures, from conductor tracks to material defects and geometric deviations. Features such as digital zoom, auto white balance and color correction support reliable detail checks.

uEye XC autofocus camera and edge components

“Depending on the inspection requirements, up to four uEye XC cameras can be used per system to map multi-sided inspection processes, complex geometries or combined surface and detail inspections,” explains David Fehrenbach. “The uEye XC fits perfectly with our system philosophy: It automatically delivers images without our users having to struggle with optical parameters.”

uEye XC camera integrated into test station

Software & edge computing – no code, self-sufficient, ready to use in minutes
The system is supplied with a compact edge computing unit. It operates completely independently, requires no internet connection and is therefore ideal for isolated production environments. The pre-installed preML Vision Lab software runs as a web application directly on the device. It is designed as a no-code solution and enables the training and execution of test models without programming knowledge. Models can be adapted to new products in just a few minutes, which saves time, especially in production with many variants.

Use at TOP: Quality control without expert knowledge
TOP GmbH & Co. KG uses the system to inspect manually assembled printed circuit boards – an environment in which a wide variety of variants, different surfaces and changing lighting conditions are commonplace. “For over two decades, TOP has been assembling components and end devices of all kinds, from prototypes to small and large series. Production follows the principles of lean production. Many assemblies are produced by hand, followed by inductive soldering. Because TOP stands for the highest quality, all manufactured parts undergo a 100 per cent inspection. To this end, the company uses the preML GmbH system, among other things,” explains Emil Kurowski, TOP Managing Director.

The solution can be adapted to new products in just a few minutes; test models can be created and expanded without any programming knowledge. Fehrenbach explains: “Our solution combines the best of both worlds: the performance of turnkey inspection systems with the flexibility of customizable software functions. At the same time, it impresses with the operating logic and cost-effectiveness of a smart camera.”

Market development: Flexibility, cost-effectiveness, independence
“The market is clearly moving towards greater flexibility and independence – away from heavy dependence on integrators,” says Fehrenbach. Many manufacturing companies are clearly feeling the effects of this development: They want systems that can be adapted without external specialists, can be quickly reconfigured and can be operated economically. At the same time, price pressure is increasing due to a growing variety of available solutions, making short implementation times and low integration costs increasingly important. The modular preML system addresses these requirements and offers a correspondingly high degree of adaptability.

The system thus opens up new possibilities not only for today's testing processes. It also lays the foundation for future, even more flexible inspection solutions, ranging from automated series testing to fully self-learning quality control. The next step in development is integration into robotics and automation solutions in order to further network testing processes and fully automate them. 

© 2026 IDS Imaging Development Systems GmbH
Image rights: preML GmbH

uEye XC



Model used: U3-36L0XC
Camera family: uEye XC
 

preML GmbH is an AI start-up based in Lahr, Germany, specializing in automated visual quality inspection. The company develops modular inspection systems that make manufacturing processes more efficient, precise and economical – from fault detection and completeness checks to logistics. https://www.preml.io/