In-Sight vision processing tools consist of functions that extract and process image features for further data analysis and decision making. The In-Sight 7000 vision toolset consists of:
Blob tools are used to detect features have similar shades of grey scale. Blob is very useful for quantifying defect sizes or for locating features that do not have a repeatable shape. Blob can be used for monochrome and color images to quantify the amount of a particular color present.
Edge tools are used to detect dark and light transitions on a part. Edge tool results can be used to measure distances and can also be used to inspect by counting the number of edges found. Edges can also be used to detect and measure circles and arcs. The InspectEdge tool tracks an edge of a part to inspect for defects.
The Flaw Detection tools, including Flex Flaw and Surface Flaw, are used to inspect contours and the surface area of parts. These advanced technologies are able to adapt to variations in lighting and in part appearance.
Histograms are used to inspect or monitor features of parts based on brightness.
1DMax and 2DMax+ barcode reading algorithms achieve the highest read rates for 1-D and 2-D barcodes, including decoding challenging 2-D direct part mark (DPM) codes.
Advanced image filtering is used to highlight features or remove features of parts before doing additional processing with other vision tools.
The OCV/OCR tool segments, extracts and trains fonts for optical character recognition (OCR) and optical character verification (OCV) of characters in an image. The font trainable tool accurately reads low-contrast or unevenly-spaced characters on confusing backgrounds.
Locating a part accurately is the first step in most vision applications. Cognex's industry leading pattern matching technologies, such as PatMax RedLine, provide unmatched accuracy and robustness, even with rotation, scale and lighting variations.
Geometry tools are used to measure critical dimensions of a part with point-and-click simplicity. Angles, arcs, diameters and point-to-line distances use real world calibration to provide accurate and repeatable results.
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