Application Cases
Micro Screw Hole Robot Guidance
Locates micro screw holes and outputs coordinates for robotic pick-and-place and precision assembly.
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Combines high-resolution imaging, edge localization, and AI segmentation to inspect solar panel surfaces.
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Checks foam strip position, spacing, area, and angle for consistent mask assembly.
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Measures display assembly gaps using structured-light range images and cross-section tools.
Read full caseRobotic Wire-Coil Packing
Uses hand-eye calibration and object localization to guide wire-coil picking and packing.
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Combines multi-camera calibration and 3D point-cloud stitching to measure module size, position, and profile.
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Detects missing solder on PCB pads with a good-part model, PMAlign, and blob analysis.
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Detects scratches, damage, contamination, edge chips, and hidden cracks in solar panels.
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Uses deep learning to detect complex PCB manufacturing defects consistently.
Read full caseBattery Pack Appearance Inspection
Uses AI to detect a range of appearance defects in battery packs.
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Good-part learning detects surface defects on metal and automotive parts with fewer defect samples.
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Detects missing tablets and packaging errors in blister packs.
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Identifies pallet and load status to support sorting, handling, and monitoring.
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AI inspects all six sides of smartphone motors for scratches, dents, stains, and missing adhesive.
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AI classifies wafer defects, including edge chips, scratches, particles, and pattern anomalies, for front-end visual inspection.
Read full caseSemiconductor Lead Frame Inspection
Detects deformation, missing material, burrs, and dents in semiconductor lead frames.
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