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Visual Character Recognition
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Visual Character Recognition

Visual Character Recognition

Based on Chancepool Vision Software System Character Recognition, Visual Character Recognition, also known as Optical Character Recognition (OCR), is a computer vision technology used to automatically identify and extract text characters in images or documents. This technology is widely used in document digitization, automatic data entry, printing quality control, PCB board identification and other fields. OCR systems analyze the shape, size, and arrangement of characters in images and convert them into editable text or numeric data. This improves document processing efficiency, reduces manual entry errors, and enables large-scale text analysis and search. OCR technology also has important value in automated office, document management and information extraction.

 

 

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Brand:ChancePool

Product Origin:China

Shipping Port:Shanghai

 

 

 

Growing demand and labor shortages have retail distribution and e-commerce companies looking for ways to increase efficiency, increase throughput and reduce costs. ChancePool single- and multi-sided code reading systems and reading channels can quickly read barcodes on packages or parcels and transmit the data to the control system in the logistics center.


Key points of testing

Using a high-pixel vision system, the entire printed circuit board can be brought into the field of view, character information such as model numbers and QR codes can be recognized/distinguished, and connector spacing measurement and other inspections can also be performed at the same time.


Detecting markings on aluminum foil

There have been cases in the past where character recognition was difficult due to the influence of the gloss and background color of the workpiece. Now, it is possible to correctly extract only the bumps and convexities of character parts, enabling stable detection.


Detecting markings on medical packaging boxes

This is a case of detecting engraved text on medical packaging boxes. The background and characters are similar in color, making detection difficult. Now, only the bumps and convexities of character parts can be correctly extracted, so stable detection is possible.


OCR of electronic printed circuit boards

In the past, the engraving detection was carried out through multiple shooting examples. But now it only takes one shot with a high-pixel camera to speed up the detection cycle.


IC package type identification/2D identification

Read the characters/QR codes laser-engraved on the surface of the IC chip. Using a single set of vision systems, you can simultaneously identify the engraved characters and QR codes, and also detect whether the positions are correct.


Reading the markings on the ECU shell

Darkness deviation or halo on the metal surface can easily lead to unstable detection. The customized light source is not easily affected by the background and clearly illuminates the engraved shape to achieve stable detection.

 

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