Track and Trace

Track and trace application is required for many products to facilitate the ability to know where each product is at any time and the ability to trace it back to its point of origin. This application is particularly required in the pharmaceutical industry to track and trace each and every pack of all drugs in the market from its origin to the end user and through all the medicines supply chain steps.

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Automatic Counting

Object counting is a common task performed in different industries. It is all about figuring out how many objects are in an image. Therefore, with cameras and vision techniques, the integrated vision system counts the number of objects and verifies the correct number of objects the image. These objects act as a source of information for quantitative analysis, motion tracking and qualitative analysis. It is widely used in different areas of industries, research institutes, laboratories, and agriculture.

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Automatic Barcode Decoding

To ensure that the barcode can be read, the barcode must first be decoded. This is done via acquiring an accurate and reliable barcode image to obtain a complete, high-contrast, and high-resolution for the camera to process. A number of technical and environmental factors affects barcode readability. Although a barcode may appear to have no noticeable flaws to the human eye, subtle inconsistencies in the code, substrate, or even the positioning of the code may result in no-reads.

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Automatic Optical character recognition (OCR)/ Optical character verification (OCV)

The identification labels are normally made of a set of printed elements, such as product descriptions, logos, 1D/2D barcodes, ingredients, and graphics, as well as variable data, such as production date, expiry information, and batch numbers. Machine vision uses OCR and OCV to ensure that the right details are not just printed, but are also verified and human readable.

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Automatic Cap/Filling Checkup

In bottling assembly lines, it is especially important to determine whether the bottle has been filled to an acceptable level and whether the cap is correctly placed and positioned. The throughput rates can be high, and the detection of small defects is a key factor for quality control. Cap defects can cause leaks or product contamination. The machine-vision inspection has image-processing tools that allow programing the system by loading images of “good” and “bad” parts, establishing an inspection standard.

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Automatic Location Checking

A high-accuracy, high-speed, high-yield, object location machine vision. It covers a broad range of pattern matching and location inspection and utilizes an advanced geometric pattern matching technology to reliably and accurately locate objects under the most challenging conditions. It also has the ability to accurately find objects despite changes in angle, size, and shading. It is useful in checking for the logo existence, the logo orientation, and the proper type labeling.

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Automatic Measurement

Automatic Measurement is a main function for automated object inspection for faster, more efficient and more accurate quality control process. It is usually useful for preventing defective product from reaching the customer, in addition, it improves product quality, reduces wastage, and improves productivity. This is done by providing length, width and height information, allowing the measurement of volume, shape, and surface quality such as indentations, scratches and dents.

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Automatic Inspection

Vision inspection systems provide image-based inspection for a variety of industrial and manufacturing applications for quality control, sorting, and much more.  Vision systems are capable of verifying that parts are in the correct position, and recognizing the shape of parts at high speeds. The vision system can be intelligent enough to make decisions that affect the function you are trying to assess, often in a pass/fail capacity to trigger an operator to act.  It can be embedded into production lines to provide a constant stream of information.

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Automatic Sorting Solution (Size, Weight, Distention)

Machine vision performs the tasks that are equivalent to human vision such as distinguishing various sizes, shapes, and colors. Therefore, vision system can identify objects based upon any of these factors (Size, Shape, or color) then it will be sorted accordingly. It is capable of doing that even when objects are moving in high speeds. Sorting may be done by directing objects to different passes or different distention based upon each factor.

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