Sapera Processing

Key Features

• Hardware independent, image acquisition, image processing/analysis and artificial intelligence library
• Supports Area-scan and Line-scan, monochrome and color, 2D and 3D cameras
• Power tools for tasks like image recognition, object identification, 2D/3D measurement, machine guidance, surface inspection, object segmentation, object tracking and others
• Designed for machine vision OEMs, System Integrators and End users
• Modular components supporting C++ and .NET languages
• Multi-Core optimization supported on single or multiple CPU configurations
• User-friendly non-programming graphical environment to quickly prototype robust AI models

Key Benefits

• Extensive camera and frame-grabber support
• Industrial strength algorithms ensure accuracy and reliability
• Cost effective solution for inspection, identification, guidance and measurement applications
• Solution to very complex vision tasks involving highly varying environment
• Upgrade with no code change given code and binary backward compatibility

Quick Barcode

• Fast and robust decoding of most 1D barcode and 2D matrix code symbologies
  • 1d symbologies: Code 11, 32, 39, 93, 128, I25, UPC-A/E, EAN-8/13, Databar, BC412, Pharmacode and more
  • 2D symbologies: Data matrix (ECC200), QR Code, PDF417, MicroPDF and more
• Quickly and accurately reads printed, stamped or etched 1D/2D codes
• Reliably reads Data Matrix and QR codes with damaged or missing finder patterns
• Reads poorly printed, low contrast, noisy, warped, and damaged barcodes
• Decodes multiple barcodes in the same image ROI
• Two licensing options:
  • Quick Barcode decodes the majority of codes.
  • Quick Barcode DPM offers greater robustness for decoding marks etched or dot peened on plastic or metallic surfaces

Standard Barcode

• Supports 1-D and 2-D industry standards (includes the majority of standards supported by Quick Barcode).
• High tolerance for noisy and poorly illuminated images
• Asian native language and Unicode output
• Includes Barcode Studio to set up barcode reading via Learning Assistant to help adjust optimal parameters
• Supports model training on Data Matrix for increased robustness highly damaged images
• Two licensing options:
  • Standard Barcode supports a wide variety of codes and options, and does not require training
  • Advanced Barcode offers the ability to train a Data Matrix model for increasing robustness while supporting the same codes and options as Standard Barcode.

Print Quality Grading

• Use in combination with Quick Barcode or Standard Barcode
• Includes the following standards:
  • ISO/IEC 15416 (Barcode print quality test specification - linear symbols)
  • ISO/IEC 15415 (Barcode symbol print quality test specification - Two-dimensional symbols)
  • ISO/IEC 16022 (Data matrix barcode symbology specification)
  • AIM PDM (Direct Part Mark Quality)
  • AS9132 (Aerospace Standards - Data Matrix Coding Quality Requirements for Parts Marking)

Image Processing Primitives

• Filters: including convolution, low/high pass, 1D, 2D, Laplacian, Gaussian, edge and line detection, and more
• Geometry: flipping, transposition, translation, rotation, zooming, shearing, warping, and more
• Measurement: statistics, histograms, projections, differencing, regressions, cross-correlations, variance and more
• Morphology: dilation, erosion, opening and closing, filters, gradients, and more
• Point-to-point: arithmetic and logical operations, thresholding, segmentation, edge detection, contrast equaliztion, and more
• Transforms: Fourier, DCT, DHT, Hough
• Miscellaneous: sub-pixel edge crossing, contour following, frame averaging
• See brochure for complete list

Blob Analysis

• Blob Analysis segments objects in a scene from the background and computes geometric and grayscale features. Ideal for defect detection in electronic and semiconductor industries
• Supports 1-bit, 8-bit, 16-bit, binary or grayscale input
• Supports infinite frame size when using line scan cameras
• Supports hardware accelerated blob analysis operations
• Spatial and grayscale blob features
• Blob centroid, area, and perimeter length
• Bounding box location and size, number of holes
• Best-fitting oriented ellipse with axes lengths
• Blob roundness and elongation
• Convex area and solidity (ratio of net area to convex area)
• Feret diameters, bounding box location, size and orientation
• External and internal perimeter points, filled area
• Minimum, maximum, standard deviation of all pixels
• Gray scale centroid
• Sorting and blob selection based on calculated feature
• Robust automatic threshold algorithms
• Optional output of RLE (Run-Length-Encoding) for user-defined feature calculations
• See brochure for complete list

Calibration

• Compensation for geometrical distortions
• Lens distortion
• Postitioning distortion
• Any arbitrary image distortion
• See brochure for complete list

• User trainable font set
• Supports solid and dot-matrix fonts including italic fonts
• Tolerates non-linear background variations
• Supports training of touching characters
• Two algorithms: binary-based (speed), greyscale-based (tolerant to extreme noise).
• Resolution level adjustment (robustness versus speed)
• Rotation, scale and aspect ratio invariance.
• Multi-string support (reads more than one string of characters in single execution).
• Support of Asian characters (output in Unicode mode).
• Adjustable effort level
• Alphabetical font sorting
• Automatic string detection

Application Examples

1. Chip Lead Flatness Inspection
2. Dimensional Measurements on Connectors
3. V-Groove Angle Measurement