Product Overview
This equipment is designed for the quality control of metal logos . It uses a multi-station, multi-angle imaging system to optically scan and inspect the front and back of the product, ensuring that the inspected products meet strict quality control standards and helping companies improve product quality and customer satisfaction.
Product Advantages
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- Comprehensive appearance inspection
- The equipment covers all aspects of product appearance inspection, including logos, to ensure quality in every detail.
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- Equipped with a cleaning unit
- The equipment is equipped with a cleaning unit, which has a certain cleaning effect on the products and can effectively reduce the impact of incoming material contamination on testing.
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- Improve production efficiency
- The capacity of a single machine is equivalent to the testing efficiency of 10 workers, greatly improving production efficiency.
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- The inspection results are stable
- Based on automated testing and a unified algorithm, the testing results are stable and product quality data is traceable.
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- Accurately identify various defects
- Integrating AI deep learning capabilities, it can accurately identify and classify complex defects, achieving intelligent and precise control with a defect identification accuracy rate of over 95%.
Equipment Parameters
Parameters
Information and Data
Equipment dimensions ( length * width * height )
6200mm*2000mm*2200mm
UPH
( 3600/CT * ( 1 - failure rate ) )
( 3600/CT * ( 1 - failure rate ) )
For 5*4 trays, with an incoming material yield ≥ 85%, the output is 3000 PCS/H.
For 5*3 trays, with an incoming material yield ≥ 85%, the output is 3000 PCS/H.
4x4 trays, with an incoming material yield ≥ 85%: 2500 PCS/H.
For 5*3 trays, with an incoming material yield ≥ 85%, the output is 3000 PCS/H.
4x4 trays, with an incoming material yield ≥ 85%: 2500 PCS/H.
Equipment utilization rate
≥95%
Pass rate
15% ( Number of items passing inspection / total number of items put into use ) of erasable dirt is not counted as passing inspection.
False negative rate
1% ( Number of missed detections / total investment )
Switching between models
Older models: single person <30 minutes/trip; double person <15 minutes/trip
Detecting defects
Bumps, scratches, pinholes, pitting, dirt, stains, discoloration, unplated areas, backside over-plating, hazy appearance, exposed white areas, deformation, peeling, color difference, mixed materials.
Software functions
Review and traceability function, vision system dust removal, algorithm system offline & online debugging, offline operation mode, and defect 9- grid illustration.
Process Application
Defect Display
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Pinhole
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Pinhole
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Dew white
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Dew white
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Over-plating
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Bump
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Scratch
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Dirt
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Dirt
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Orange peel
