The domestic code reader market has a wide variety of products, but few have ventured into the application of OCR (Optical Character Recognition) technology. OPT has launched a code reader product equipped with a deep learning OCR algorithm, leveraging years of profound technological accumulation, pushing the application of code readers into more refined and complex text recognition fields.
Expanding Recognition Fields and Overcoming Anomalous Challenges
By integrating deep learning technology with the OCR algorithm, it can automatically detect and recognize text in images, effectively extracting key features. This breakthrough surpasses the limitations of traditional OCR algorithms in complex scenarios (such as blurred text and complicated backgrounds), easily handling various anomalous challenges.
After integrating deep learning OCR algorithms, the smart code reader can accurately recognize various fonts under the SEMI standard, including printed text, handwriting, and artistic fonts. Moreover, by cross-verifying barcode reading results with single-line character recognition information, the code reader can reduce errors caused by a single recognition method, ensuring accurate results even when faced with anomalous barcodes.
Unable to decode; output results through character recognition.
Use character recognition results to assist decoding and output the correct results.
Verify and confirm anomalies through decoding results and character recognition.
Flexible, Extensive, Convenient
Driven by the powerful deep learning OCR algorithm, the OPT smart code reader excels in recognition flexibility, applicability, and user experience across multiple dimensions, possessing broader application scenarios and market competitiveness.
Relying on extensive data for deep training, the model demonstrates excellent character feature extraction, positioning, and recognition capabilities, endowing the code reader with high adaptability and generalization ability. It can flexibly cope with variations in fonts and sizes, as well as the challenges posed by complex background images, easily reading various anomalous barcodes such as blurred, dirty, deformed, and reflective ones. It is compatible with over 7000 characters, including Chinese and English punctuation. Even when facing new application scenarios, there is no need to adjust algorithm parameters, maintaining recognition accuracy and stability.
With the ability to automate the processing of diverse text information such as product labels and packaging information, the smart code reader will play an important role in critical fields such as semiconductors, intelligent manufacturing, pharmaceutical packaging, and food traceability.
Based on the end-to-end learning capability of deep learning algorithms, efficient feature extraction, and automated text recognition technology, users only need to select the target font area to obtain accurate recognition results, eliminating complex setup and adjustment steps.
This technological breakthrough is another milestone in OPT’s journey of independent innovation. Looking forward, OPT will continue to increase R&D investment, explore blind spots in cutting-edge technology, continuously generate sources of innovation power, and forge “hardcore” competitiveness that leads the industry development.
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