Point1 : PC environment vision inspection program that allows users to apply and edit image processing and various video processing technologies to meet specifications of the user
Point2 : For inspection purposes, various interface types including analog cameras are supported. Each type has a different throughput, cable length, power, I/O synchronization, CPU usage, and it is necessary to select the appropriate type according to the inspection facility structure and purpose
Additionally, it is important to select a camera for the purpose, and there are cameras of various types and prices depending on the number of pixels, color, speed of shooting, size, etc. We help you select a low-cost/high-efficiency optimal camera.
Specification
| Function | Processing | Exmaple |
| Pattern Matching | X, Y, Angle, Score(Matching Rate) Measurement | Check parts, determine status |
| Edge | Boundary detection | Check parts & assembly status |
| Length | Horizontal, Vertical Distance Measurements | Position, apparent detection, distance measurement |
| Histogram | Measure the pixels of R, G, B, and Gray in 0-255 scales | Stain, print concentration check |
| 1D Barcode | Codeba, Code93, Code39, Code,128, EAN8, EAN13, MSI, Interleaved2of5, Phandomcode, RSS Limited, One-Dimensional Barcode recognition | Product Lot Manufacturing Information Management |
| 2D Barcode | Data Matrix, QR Code, PDF417, Two-dimensional barcode recognition | Product Lot Manufacturing Information Management |
| OCR | Optical character recognition | Character recognition such as model name, expiration date, etc. |
| Circle | Measurement of the center coordinates (X,Y), radius (R) of a circle | Position of circular part, radius measurement |
| Color Pattern Matching | Measurement of Color Score(Matching Rate) | Color discriminating |
| Edge Contour | Contour detection | Surface inspection, chip testing |
| Blob | Surface foreign objects detection | Foreign objects inspection |
Practical Application Cases
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[Status] Determining whether parts are inserted or missing Requested PWA area, Manual insert parts : Check for missing inserts Actions Using a library of NI machine vision algorithms that can detect the shape, location, and angle of a specific pattern contained in ez-VISION, not only missing inserts but also reverse inserts and misinsertions of the product
Actual photos |
[Status/Position] Checking the engagement of ring parts Requested Check whether the ring is assembled or not, it's assembled in the right position, and it's double-assembled. Actions Measure the length of the product's width depending on whether the ring is fastened or not and detect defects.
Actual photos |
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[Mix] Identifying product mix Requested Check whether the input direction of the parts is correct or whether other models are mixed in. Actions Defect detection by measuring the shape of a specific pattern of a part and the length of each part
Actual photos |
[Position/angle] Calibrate robot working position Requested The position and angle of the product is suitable for transporting by robot. Actions Detect the angle of the shape position of a particular pattern and pass it on to the control unit to correct the position and angle
Actual photos |
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[Color] Illumination check Requested Inspect LED lighting, brightness Actions Check the lighting, brightness, and color using Histogram to detect defects.
Actual photos |
[Barcode] Barcode recognition and location determination Requested Inspect Labeling & Printing Location and Barcode Information Actions Use the edge function to determine if the label & print location is defective and the barcode information is passed to the control unit.
Actual photos |
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[OCR] Character discrimination Requested Check to prevent products mixing by recognizing print characters Actions Use the OCR function to determine whether the product is defective or not
Actual photos |
