Chapter 3 Advanced Tool Tutorials Optimizations for Speed • Minimum Edge Strength — Increasing this parameter may speed performance if the image contains edges of less strength than the Data Matrix edges. • Samples per Matrix Cell — This will be set to the lower of five or the number of pixels per cell. Lowering this number will speed the algorithm processing. • Search Speed — This parameter can be increased to Turbo to increase algorithm speed. Typically, this will adversely affect robustness. • Warp Method — If the Data Matrix is perpendicular to the camera and there is little optical distortion, then the Fast option may be safely selected here without affecting robustness.
Optimization for Robustness • Finetune Method – Selecting Intensity Enhance will increase robustness for matrices of very low ( background) contrast. – Selecting No Quiet Zone Clutter will enhance the performance of the tool should there be little quiet zone around the matrix. – Selecting Position Enhance is advisable for matrices created by ink jet or dot peen where the center of the matrix varies greatly from the ideal center location. • Robust Locate — When enabled, this algorithm will retry up to two additional times with slightly different parameters. This will generally increase the time the algorithm runs and may cause the tool to run longer than the timeout value.
• Threshold Method — Selecting all three threshold methods will generally increase the robustness of the matrix readings and will typically only marginally affect speed. 3-28 Getting Started with Visionscape GigE Cameras