AI Appearance Inspection System ZD-CFAI Series
AI Appearance Inspection System "ZD-CFAI Series"
It is an AI visual inspection system equipped with AI software that is expected to achieve learning effects through deep learning.
This is an advanced appearance inspection system equipped with the optimal AI software from a selection of deep learning-based image analysis software designed for machine vision. Traditionally, inspections that were too complex or labor-intensive were conducted through human visual inspection. However, by using this system, we propose an unprecedentedly effective inspection that merges machine vision with human vision. 【Equipped with Comprehensive Features】 The 'ZD-CF Series' includes models with deep learning capabilities. ● Equipped with a large 22-inch display ● Inspection screens can be displayed in both vertical and horizontal orientations ● Defect detection images are displayed in real-time ● Defect information is listed ● Defect location information is displayed on a map ● Defect image analysis software is available as an option ● Inspection data can be printed in three different patterns ● LED lighting for line sensors can be selected according to the inspection content
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basic information
**Fusion of Machine Vision and Human Vision** - Achieving the flexibility of human visual inspection through the learning effects of AI software is possible. - The combination of machine vision and deep learning expands the inspection area. - The ability to detect defects and the accuracy of classification have improved. **Line Sensor Cameras** - We offer line sensor cameras in 2K, 4K, 8K, and 12K. - Available in monochrome. - Compatible with the "GigE" interface. - Select the optimal line sensor camera based on inspection content. **Lenses** - Available focal lengths include 25mm, 35mm, and 50mm. - Select the optimal lens based on the field of view and distance to the workpiece. - To achieve high-resolution imaging, we select and propose low-distortion lenses. **Lighting for Line Sensors** - We primarily propose inspections using LED line lighting. - The emission surface can accommodate lengths of up to 3,000mm. - We propose optimal lighting based on inspection content, inspection items, installation conditions, etc.
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Applications/Examples of results
【Inspection Targets】 This is suitable for defect inspection of plain surfaces of sheets in general, functional films, optical films, coated films, plastic films, industrial/food films, general-purpose films, building materials, non-woven fabrics, textiles, paper, metal, steel plates, metal foils, glass, rubber, secondary battery electrode sheets, synthetic leather, resins, and more. 【Applications】 It is optimal for detecting defects such as fish eyes, pinholes, gels, foreign substances, scratches, dirt, insects, hair, stains, black spots, unevenness, wrinkles, bubbles, chips, dents, lines, streaks, uneven surfaces, and slight dirt on objects with strong texture.
Detailed information
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● Lineup of 2K, 4K, 8K, and 12K line sensor cameras ● Available in monochrome/color options ● Supports "GigE," "Camera Link," and "CoaXPress" interfaces
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● Mainly propose inspections using LED line lighting ● The emission surface can accommodate lengths of up to 3,000mm ● Choose from transmission type, reflection type, and other lighting options
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Company information
"Frontier System" has over 30 years of experience and technical expertise in the development of surface defect inspection systems since its establishment, and we propose the most suitable inspection systems for our customers' production sites. We support defect inspection for a wide range of materials including plain sheets, paper, non-woven fabrics, metals, steel plates, metal foils, glass, rubber, functional films, optical films, coated films, plastic films, industrial/food films, and other general-purpose films. Furthermore, we provide comprehensive after-sales follow-up and support after the installation of inspection equipment. Our 100% domestic support and rapid response in case of emergencies are our unique "commitment" and strength.