Multiview Optical Character Recognition (OCR)

Important technical features

Advanced model training

K|Lens multi-view imaging for application-specific datasets. Real variability through multi-view approach, outperforms synthetic data augmentation. Robust OCR performance through improved model training.

Improved prediction accuracy

Ensemble approach through multi-view datasets to combine insights from different viewpoints. Increased prediction accuracy and reliable OCR even on difficult surfaces.

Added value across OCR modules

Multi-view imaging improves different OCR stages individually (text detection and text recognition). Higher overall OCR performance through optimized individual modules.

Individual customization

Models can be individually adapted to your task. Full exploitation of potential through customized solutions.

Integration options

Customized AI Solutions

Through customized AI model training and careful AI data preparation/curation, we develop a system that is precisely tailored to your specific task.

Faster Training with Multiview GenAI

With Multiview GenAI, systems can be trained significantly faster and with a smaller number of data sets through the artificial generation of data.

Multiview Data for OCR & Evaluation

The K|Lens light field sensor provides Multiview data sets that can be used both for training OCR models and for precise evaluation in demanding applications.

Precision Scanning for Large Components

The K|Lens scanner sensor is ideal for providing accurate and detailed data of larger components and products.

Seamless Integration via APIs & UIs

Our APIs and UIs enable seamless further processing and integration of the results into your existing production environment to ensure a smooth workflow.

Typical applications

A multi-view OCR system can extract text from multiple perspectives, making it highly valuable in industrial settings. Here are a few key applications.
Identification of foreign components

Our technology enables the detailed analysis of components of unknown products or parts where markings are crucial for identification, traceability or functional analysis.

Automated quality inspection

OCR can read product labels, serial numbers or expiry dates to ensure the accuracy of packaging and labeling processes.

Warehouse and inventory management

OCR can read alphanumeric text, which improves inventory tracking and reduces manual errors in logistics.

Monitoring the manufacturing process

OCR can verify part numbers, safety labels and instructions on machines or components to ensure compliance and reduce human intervention.

Advantages of our OCR system

Highest recognition accuracy

Our advanced algorithms ensure outstanding text recognition, even with difficult fonts, unclear images and dirty or complicated surfaces. When using the K|Lens light field sensor, the additional data from the different perspectives leads to more reliable results.

Versatile application possibilities

K|Lens OCR supports a wide range of use cases, from the smallest component markings to labels and packaging. Ideal for automation and quality control.

Seamless integration

Our software can be easily integrated into your existing systems and workflows. Customizable interfaces and APIs allow flexible adaptation to your individual requirements.

Increased efficiency

K|Lens OCR reliably localizes and recognizes different blocks of text simultaneously in milliseconds.

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