Automatic Edge Detection

Intelligent Edge Recognition for Precise Test Positioning

Accurate edge detection is critical when hardness measurements must be taken at specific distances from a surface, weld line, or treatment boundary.

The system automatically analyzes contrast differences between the sample and background to determine the exact sample edge.

• Automatic detection of sample edges and boundaries
• One-click edge recognition for fast setup
• Precise positioning for CHD and pattern testing
• Reduced manual alignment and operator error

This ensures consistent and reliable test point placement across every sample.

Optimized for CHD and Case Depth Analysis

Automatic Edge Detection is especially valuable for Case Hardening Depth (CHD) testing, where accurate positioning relative to the surface is essential.

• Define exact starting positions for CHD traverses
• Maintain consistent offset distances from the edge
• Improve repeatability of hardness profiles
• Support compliance with case depth testing standards

This creates a faster and more reliable workflow for heat treatment verification and surface hardness analysis.

Seamless Integration with Pattern Testing

The module works directly with the IMPRESSIONS™ Test Pattern Editor, making automated multi-point testing even more efficient.

• Automatically align test patterns relative to the sample edge
• Improve setup speed for repetitive testing routines
• Combine with contour scanning for advanced geometry-based testing
• Support fully automated batch hardness testing workflows

This is ideal for laboratories and production environments where speed and repeatability are critical.

Applications of Automatic Edge Detection

Automatic Edge Detection supports a wide range of hardness testing applications where precise positioning is required:

• Case Hardening Depth (CHD) – Surface-to-core hardness traverses
• Weld Testing – Positioning relative to weld seams and heat-affected zones (HAZ)
• Coating Thickness Analysis – Hardness testing near coatings and surface layers
• Heat Treatment Verification – Controlled measurements from treated surfaces
• Failure Analysis – Hardness profiles near cracks, edges, and defects

This makes the module a key tool for both routine quality control and advanced material analysis.

Automatic vs Manual Edge Positioning

Traditional manual edge positioning requires operators to visually estimate sample boundaries and manually place test points, which can be slow and inconsistent.

Automatic Edge Detection offers a major advantage:

Manual Edge Positioning Limitations

• Time-consuming visual alignment
• Higher risk of inaccurate starting positions
• Operator-dependent repeatability
• Reduced efficiency for batch testing and CHD analysis

IMPRESSIONS™ Automatic Edge Detection Advantages

• Instant edge recognition using contrast analysis
• Faster setup with automatic or one-click positioning
• Precise and repeatable test point placement
• Improved efficiency for high throughput testing and automation

By eliminating manual positioning, the system improves both testing speed and measurement reliability.

Improved Workflow for Modern Hardness Testing

Automatic Edge Detection reduces setup time, improves precision, and supports more advanced automated testing workflows.

Combined with pattern testing, contour scanning, and hardness mapping, it creates a highly efficient and intelligent hardness testing environment—designed for modern laboratories, production facilities, and research applications.

The result is faster testing, stronger repeatability, and greater confidence in every hardness measurement.

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