Deep Learning can be used to reliably read expiration dates on yogurt containers. AI enables reliable inspection.
Reading the Best Before Date on Yogurt Cups
Automatic identification of components and packaging
Make processes more efficient through customized further processing and documentation
With senswork's automated OCR character recognition, different component variants can be identified directly in production and reliably categorized, sorted, and further processed based on their codes. This allows manufacturing processes to be individually controlled and made more efficient, as component types can be identified quickly and without errors.
The products can be automatically stored and statistically evaluated at all stations. This allows for the establishment of complete production and supply chain documentation.
One example application is the reading of codes on tires using our AI-based OCR system, the senswork Tire Code Reader. > Learn more about the senswork Tire Code Reader
Label inspection at the highest level
Fully automatic recording and checking of character quality, completeness, position, and accuracy
OCR systems from senswork reliably recognize and check:
- Correctness and completeness of printed information and characters
- Print position or print offset of individual print elements
- Completeness and interruption of fonts, codes, symbols, frames, lines
- Completeness, interrupted lines, contrast, standard conformity of barcodes
- Blurred characters
- Data matrix codes: AIM-DPM, ISO 15415
- Contamination of the background
- and much more
Flexibel & zukunftssicher
Easy to integrate, scale, and internationalize
Industrial solutions require reliability. Position yourself flexibly and future-proof: senswork OCR systems can be easily integrated into your existing systems. Our solutions are flexible and adapted to your situation. At the same time, scaling to additional systems or changes to the inspection request, e.g., additional characters to be inspected, can be implemented at any time.
Reading and checking different languages and characters, e.g., Asian or Cyrillic, is also possible with OCR systems from senswork.
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Reads on an inhomogeneous background
The segmentation process was a major challenge for previous OCR systems. Fluctuating brightness or variable backgrounds could quickly lead to incorrect readings. senswork's AI-based OCR solutions, on the other hand, are able to segment and classify characters even on non-uniform backgrounds. For example, on thin plastic packaging in the food and pharmaceutical industries. This significantly increases reliability and robustness in many industries.
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Tolerates low contrast
Similar to inhomogeneous backgrounds, weak contrast can quickly overwhelm traditional character recognition systems. Here, too, the senswork OCR solution with deep learning demonstrates its strengths. The AI-based OCR system reads even raised lettering on rough surfaces such as cast aluminum or tires robustly and reliably.
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Captures incomplete and varying characters and fonts
AI-based OCR systems from senswork are characterized by their adaptability and can easily handle different fonts, font sizes, and layouts without requiring time-consuming manual adjustments. Especially with stamped or embossed fonts and inkjet printing (for example, best-before dates on food packaging), the character representation can vary considerably, even though the text remains legible to the human eye. This is where our AI-based OCR solution shows its strengths.
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Recognizes many fonts without training
Thanks to its training, senswork's AI-based OCR solution has a diverse collection of fonts at its disposal, enabling it to effortlessly handle a wide range of characters regardless of their size, style, or stroke thickness without prior training. If necessary, additional characters can be integrated into the training to further increase the robustness of the system.
Examples: OCR solutions
- AI-based OCR system for reading text and symbols on difficult surfaces, especially for directly marked content
- OCR and OCV applications on labels, packaging, paper
- Code reader for inline production
- Code reader for laser-marked, needle-marked, or printed codes
- Validation system for inline code evaluation
- Code verification according to AIM/DPM or ISO 15415
- Print image control and comparison against ZPL files
Reading 1D and 2D barcodes with OCR
Read directly marked and printed codes and evaluate quality
OCR systems from senswork enable the identification and traceability of products and components using barcodes in accordance with standards such as AIM/DPM or ISO/IEC 15415. This allows the quality of directly marked barcodes as well as printed 2D codes to be evaluated. Various methods used to apply barcodes, such as laser marking, dot peening, or printing, can be reliably captured, documented, and evaluated using senswork's code and character recognition technology.
Fully automatic ZPL-based print inspection—is that possible?
Yes, thanks to senswork's ZPL Inspector
The ZPL Inspector from senswork enables direct interpretation of ZPL (Zebra Printer Language) print jobs and automatic generation of inspection programs. This means that our ZPL Inspector camera solution adapts fully automatically to the print layout without the need to change the inspection program. The contents of the ZPL printer file are read and interpreted, and a corresponding inspection program is generated from this – fully automatically and without user input.
The following print elements can be read and interpreted automatically:
- Text fields with different print sizes and printer fonts
- Graphic boxes (square and/or rectangular boxes in all line thicknesses)
- Barcodes according to all common standards
- Data matrix codes and QR codes in all common standards
- Graphic elements / logos / icons after one-time training
Advantages – that's why senswork
We have extensive experience in planning and implementing OCR solutions for industrial applications. Together with our customers, we develop efficient and reliable systems based on our expertise in image processing and our own AI research. After all, optimal results can only be achieved through the right combination of technology, resolution, lighting, and software.
Our offering includes a perfectly coordinated complete package of hardware and software: from camera resolution and lighting to the selection of suitable wavelengths – whether visible light or infrared. For complex OCR tasks on challenging backgrounds, we use our AI-based tool senwork Neuralyze©, as well as our image processing software VisionCommander®.
You can count on us—as an experienced partner, we will bring your OCR project to a successful conclusion efficiently.
OCR System for Turbocharger Guide Vanes
A dual camera system with mirror deflection enables OCR verification of part numbers on turbocharger guide vanes.
Inline Label Inspection with Smart Camera
The smart camera from senswork enables reliable inspection of texts, codes and symbols - even at a great distance.
