📦 Enhanced Goods Receipt Processes with AI-Powered Label Recognition from IDS! 🚀

[Cengiz Özemli]

In the electronics industry, goods receipt processes are becoming increasingly complex due to constantly changing label layouts, multilingual markings, and shorter processing times. These processes, which could once be managed with manual methods, can now lead to bottlenecks. Damaged barcodes or reflective packaging further complicate the situation, increasing the error rate.

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💡 AI-Powered Automatic Label Recognition Solution​

The Vision AI Label Reader, developed by collective mind GmbH (COMI), offers an innovative approach to manage this complexity. This AI-based image processing system automatically captures and interprets product information in goods receipt and logistics operations, regardless of layout, language, or code type. This industrial solution increases process reliability, enhances data quality, and optimizes workflows. The necessary image data for analysis is provided by IDS Imaging Development Systems GmbH's uEye CP industrial camera.

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⚙️ Full Automation Instead of Manual Inspection​

The Vision AI Label Reader is designed for applications where a wide variety of products, labels, and packaging are processed daily. It is particularly ideal for electronic manufacturing service providers and companies with complex logistics processes and large inventories. For example, the system is successfully used at Rutronik Elektronische Bauelemente GmbH, a leading distributor of electronic components. The goal is to automatically capture all relevant product information and present it in a structured format.

The system recognizes all labels on an object, reads printed texts as well as 1D and 2D codes, and then interprets the content using AI. If necessary, handwritten entries can also be processed. Most importantly, recognition is not tied to predefined label standards. New layouts, languages, or code formats can be processed without retraining; this is a critical factor for scalability and long-term sustainability.

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📸 Camera and AI Collaboration​

One of the core components of the solution is the industrial camera from IDS's uEye CP family. It captures labels and packaging surfaces in high resolution and provides image data for AI analysis. It reliably detects fine details even under challenging conditions. Reflective packaging (e.g., dry packs), damaged codes, or fluctuating lighting conditions place high demands on image capture. However, when combined with a coordinated lighting concept, the system consistently delivers stable recognition performance. The use of a standard image interface (USB3 Vision) simplifies connection to industrial PCs and allows for easy integration into existing systems.

The uEye CP's compact magnesium housing (29 × 29 × 29 mm) is both lightweight and robust, weighing approximately 50 g. COMI uses a model equipped with the light-sensitive IMX183 rolling shutter CMOS sensor from Sony's STARVIS series. Thanks to back-illuminated (BSI) technology, it delivers reliable image quality even in low-light conditions. Tobias Husemann, Senior Consultant at COMI, states, "With a resolution of 20.44 megapixels and a speed of almost 20 frames per second, the camera provides exactly the level of detail we need to reliably capture even very small label information."

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📊 Improved Data Quality and End-to-End Traceability​

After image capture, the AI analyzes the data in several stages: Labels are positioned, content is extracted, and then semantically interpreted; for example, part numbers, batches, or manufacturer information are clearly assigned. The results are directly transferred to connected ERP systems such as SAP or proALPHA, including real-time comparison and verification.

For users, this means a significant reduction in manual inspection steps and sources of error. At the same time, data quality improves, and complete documentation of all product movements is created. The resulting 100% traceability is becoming an increasingly decisive differentiator, especially given the stricter regulatory requirements in sub-sectors such as medical technology.

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📈 Increased Efficiency in Goods Receipt​

Compared to conventional multi-label readers, an efficiency increase of approximately 30% in product capture is observed in practical use. Processes can be accelerated, personnel resources can be used more effectively, and bottlenecks in goods receipt can be reduced. Automatic logical checks of label content also increase process reliability and help detect errors at an early stage.

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🔮 Looking Ahead: From Desktop Scanner to Fully Automated System​

The market is clearly moving towards highly automated product capture. In the future, the Vision AI Label Reader is expected to go beyond its use as a desktop scanner and be fully integrated into automated warehouse and material flow solutions. This is already being planned in cooperation with system integrators. According to Husemann, this also increases the demands on camera technology: "It must be able to cope with changing and sometimes unfavorable lighting conditions and work reliably on reflective surfaces. At the same time, a wide depth of field is required, as labels and packaging are presented at different heights and distances and still need to be reliably captured."

Additionally, the functional scope of the 'Label Reader' will be gradually expanded. In addition to pure product capture, topics such as anomaly and defect detection are also coming into focus; for example, detecting damaged labels, adhesive residues, or faulty products. This transforms AI-based image processing from a capture system into a central quality and inspection tool in goods receipt. After all, orderliness is half the battle!