In the fields of industrial automation and machine vision, the selection of FA lenses directly impacts the precision and efficiency of four core tasks: recognition, measurement, positioning, and surface inspection. This article presents a lens selection strategy based on task characteristics, starting from application scenarios, to help engineers quickly match the optimal solution.


I. Visual Identity


Distinguishing objects from backgrounds through image features requires high contrast and sharp edges.
Selection Strategy:
Low Distortion Design: Select lenses with distortion rates <0.1% to prevent feature loss due to image edge distortion.
High Resolution: Prioritize megapixel-level lenses (e.g., 1.1" large-pixel sensors) to ensure discernibility of minute features.
Large Aperture & High Light Transmission: Lenses with F-value ≤1.8 increase light intake, enhancing contrast when paired with high-brightness light sources (e.g., ring LEDs).
Working Distance Adaptation: Select appropriate focal lengths based on target dimensions to prevent blurring due to insufficient depth of field.
Typical Applications: Barcode/QR code recognition, character OCR, part sorting.
II. Visual Measurement


Eliminate perspective errors to achieve absolute precision measurement of dimensions and geometric parameters.
Selection Strategy:
Dual telecentric or object-side telecentric lenses: Ensure parallelism between object-side and image-side principal rays, eliminating measurement errors caused by variations in working distance.
Low magnification and long depth of field: Select lenses with 0.1×-0.5× magnification paired with coaxial illumination to achieve micrometer-level precision.
High MTF values: Central MTF ≥ 0.5 (50 lp/mm), peripheral MTF ≥ 0.3, guaranteeing full-field clarity.
Temperature stability: Utilize materials with low thermal expansion coefficients to minimize environmental temperature effects on optical performance.
Typical applications: Precision component dimensional measurement, thread parameter inspection, PCB solder joint height analysis.
III. Visual Positioning

Rapidly lock onto target locations while balancing precision and real-time performance.
Selection Strategy:
IV. Surface Visual Inspection


Detecting surface defects such as scratches, stains, and cracks requires high sensitivity and specificity.
Selection Strategy:
V. Comprehensive Selection Process


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