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Improve Process Accuracy & Speed of Product Quality with OCR Visual Inspection System System features 1. AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2. Dataization: Independent database, save multiple samples, analyze non-good products, and retain history 3. Multi-orientation: 360 ° comprehensive inside and outside the samples 4. High precision: detection accuracy can be high 5. Modularization, can flexibly increase or decrease the detection function according to customer actual needs 6. Easy to operate: It is easy to operate and easy to maintain 7. Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment   The functional characteristics of the OCR machine vision character detection system are to perform image recognition and detection on the appearance, defect, presence, position, etc. of the characters printed on the tested object, and output the detection results. Detect barcode character printing defects, such as dirt, reprint, black spots, etc.; Detect the right or wrong of barcode characters; Detect the integrity of barcode characters, whether there is missing printing or less printing, etc.; Dynamic static detection. Inspection principle As one of the main ways of storing, disseminating, exchanging information and disseminating culture, the printing medium of characters is an important link in the production and management of publishing and printing enterprises to detect, control and evaluate the printing quality of characters. There are many factors that affect the evaluation results of text printing quality, such as ink color density, clear contrast, whether there are broken strokes or missing paintings, etc., and the evaluation of these indicators has always been carried out by human vision. Such detection methods can no longer meet people's requirements for efficiency and quality, and technical updates are to be solved. In this situation, in order to realize the rapid detection of printing quality and the improvement of objective evaluation indicators, in view of the limitations of human eyes in the detection and evaluation of text printing quality, the industry has introduced machine vision technology, image processing pattern recognition and other means to improve the quality of text printing. The printing quality is tested and evaluated, which greatly solves this problem.   Type of OCR inspection Detection of printing: As the name suggests, it is simply to detect whether printing is present or not. It can be identified using an image sensor, very simple. OCR: Visual Character Recognition. The main purpose is just to find out whether a character is "A" or "B", and compare the recognition result with the standard, or directly output the recognition string. OCV: Visual Character Verification. Not only to recognize characters, but also to detect poor character printing, such as missing strokes. The general principle is that the image difference is used, that is, the good picture and the bad picture are subtracted, so as to pick out the bad place.   OCR visual character detection advantages Accuracy: avoid misjudgment and missed detection caused by subjective consciousness, environmental restrictions and other factors in the process of manual detection and identification, and the detection accuracy is guaranteed; Productivity: ocr vision system equipment can work for a long time, with fast recognition speed, which can effectively improve production efficiency; Multi-function: ocr visual character recognition can identify barcodes, numbers, characters with multi-function detection function, one machine is multi-purpose Systematic: The test results are saved by themselves and displayed in real time, which is convenient for later information query, invocation, statistics, etc.; Low cost: reduce labor cost input, high product testing accuracy, quality assurance, and low probability of recall.

KEYENCEOCR

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In this situation, in order to realize the rapid detection of printing quality and the improvement of objective evaluation indicators, in view of the limitations of human eyes in the detection and evaluation of text printing quality, the industry has introduced machine vision technology, image processing pattern recognition and other means to improve the quality of text printing. The printing quality is tested and evaluated, which greatly solves this problem.

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The functional characteristics of the OCR machine vision character detection system are to perform image recognition and detection on the appearance, defect, presence, position, etc. of the characters printed on the tested object, and output the detection results.

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As one of the main ways of storing, disseminating, exchanging information and disseminating culture, the printing medium of characters is an important link in the production and management of publishing and printing enterprises to detect, control and evaluate the printing quality of characters. There are many factors that affect the evaluation results of text printing quality, such as ink color density, clear contrast, whether there are broken strokes or missing paintings, etc., and the evaluation of these indicators has always been carried out by human vision. Such detection methods can no longer meet people's requirements for efficiency and quality, and technical updates are to be solved.