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Summary is AI-generated, newsdesk-reviewed
  • AI-driven inspection solution simplifies quality control with preML software and IDS uEye XC cameras.
  • Plug-and-play design enables intuitive use without image processing expertise for flexible inspections.
  • 13 MP sensor and autofocus provide high-quality images across varying lighting and object distances.

The convergence of AI software, edge computing, and IDS uEye XC cameras has paved the way for a modular, plug-and-play inspection system engineered for swift and intuitive visual quality inspections.

Developed by preML, this system does not require extensive expertise in image processing, making it particularly valuable amidst the increasing demands on quality control in industries like automotive, electronics manufacturing, and mechanical engineering.

Streamlined Quality Control Solutions

PreML's inspection solution offers a user-friendly interface that allows operators, even those lacking image processing or AI skills, to develop and employ AI-assisted inspection models efficiently.

The modular kit is comprehensive, containing a camera, lighting, edge-computing capabilities, and pre-installed software, facilitating ease of use in diverse industrial contexts such as electronics and plastic parts production. This complete system positions itself as an accessible plug-and-play option for quality control in varied settings.

Advanced Camera Technology

The foundation of this inspection system is the IDS uEye XC industrial camera

The foundation of this inspection system is the IDS uEye XC industrial camera, recognized for its 13-megapixel sensor which ensures detailed imaging. 

With its autofocus feature, the camera maintains consistent clarity irrespective of component height variations, working distances, or surface disparities. In practical scenarios, such as electronics manufacturing, firms like TOP. Thomas Preuhs GmbH employ this technology to inspect manually assembled printed circuit boards, enhancing automation while reducing operating efforts.

AI-Driven Inspection Models

The preML Vision Lab software, integral to the system, facilitates real-time creation, management, and evaluation of test models directly on the device.

Exemplifying its capabilities, the uEye XC can detect anomalies in plastic dowels autonomously. David Fehrenbach, the founder of preML, highlights this 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."

Versatile and Independent Usage

This adaptability is enhanced by features such as a macro attachment lens for detecting fine details

Designed to merge the simplicity of a webcam with industrial reliability, the uEye XC is installed with a single cable connection—a notable advantage for manufacturing environments requiring frequent system modifications. 

Its 13 MP sensor, supported by AR1335 from onsemi, provides high-definition images, assisting in accurate fault detection. Furthermore, the camera's autofocus and sensor technology, enabling 20 fps at full resolution, adapt effectively to changing lighting conditions. This adaptability is enhanced by features such as a macro attachment lens for detecting fine details, digital zoom, and auto white balance.

Cost-Effective Modular System

According to Jürgen Hejna, Product Manager 2D Machine Vision at IDS, the camera's autofocus capability facilitates optimal distance adjustment along with reliable image quality with minimal integration complexity. These characteristics allow the preML system to function independently, ideal for isolated production settings without requiring internet connectivity.

The software, preML Vision Lab, further distinguishes itself by enabling no-code training and execution of test models, expediting adaptability to new products in diverse production environments.

Future of Inspection Solutions

The modular system by preML addresses the market's call for increased flexibility and self-sufficiency, allowing rapid reconfigurations without reliance on external integration specialists.

The adaptability of the system helps manufacturers deal with price pressures, offering short implementation times and low integration costs. Looking ahead, the system lays the groundwork for more adaptable inspection solutions, setting the stage for automated series testing and self-learning quality controls, with plans for integration into robotics and automation to fully network and automate testing processes.

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