LabVIEW Machine Vision Course Material 8.5

LabVIEW Machine Vision Course Material is a practical learning resource that teaches you how to design, prototype, and deploy machine vision applications in LabVIEW. Through step-by-step lessons and hands-on exercises, you’ll learn to acquire images from industrial cameras, preprocess and analyze them, and make reliable decisions for inspection, measurement, and guidance tasks. The material emphasizes clear workflows, best practices, and repeatable results using LabVIEW with the NI Vision Development Module and Vision Assistant.

Highlights:

• Camera connectivity and image acquisition (e.g., USB3, GigE Vision, Camera Link) via NI-IMAQdx
• Lighting, optics, and calibration fundamentals (pixel-to-real-world scaling, distortion correction)
• Image preprocessing: filtering, thresholding, morphology, and color space conversions
• Feature extraction: edges, blobs, contours, and particle analysis
• Pattern matching, registration, and template-based alignment
• Measurement and gauging (distances, angles, areas, tolerances)
• Text and code reading: OCR/OCV, barcodes, and Data Matrix decoding
• Defect detection and classification strategies
• Performance optimization, memory management, and parallelization
• User interface design, data logging, and integration with test/automation workflows
• Robustness techniques for lighting variation, noise, and part-to-part variability

What you’ll gain:

• A structured path from fundamentals to advanced techniques
• Example LabVIEW projects (VIs), sample image sets, and lab exercises
• Checklists and troubleshooting tips for building reliable vision systems

Who it’s for:

• Engineers, students, and researchers new to machine vision or moving from prototyping to deployment in LabVIEW

Prerequisites:

• Basic familiarity with LabVIEW recommended; no prior machine vision experience required

Typical applications include quality inspection, alignment and metrology, robotics guidance, and R&D imaging tasks.

LabVIEW Machine Vision Course Material is developed by National Instruments. The most popular versions of this product among our users are: 8.0 and 8.5.