AIDIS 100QC
Final inspection for SMD components: Color spots, marking code, and dimensions
- Industrial-grade hardware
- Advanced vision system
- Support flexible SMD size range
- High accuracy rate
- Rapid inspection time
- Local file archiving
- Cloud-based AI modeling and training
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Overview
Final inspection for SMD components
ASUS IoT AIDIS 100QC is a system for inspecting SMD components, featuring advanced capabilities such as final inspection of color spots and component labeling. Utilizing a 26MP color camera and white LED lighting, the system employs visual recognition and AI modeling to inspect object dimensions, marking codes, and color spots with an accuracy rate of above 95%. Inspection results are delivered within 10 seconds.
High-accuracy inspection
Exceptional precision
AIDIS 100QC system delivers inspection results with an accuracy rate above 95%. It performs a final inspection including color spots and component labeling for incoming SMD materials. This ensures that every dimension, marking code and color spot is meticulously checked, providing reliable and precise results.
Rapid performance
Fast and efficient
AIDIS 100QC provides inspection results within 10 seconds. This rapid performance is crucial for maintaining high throughput in manufacturing processes, ensuring that components are inspected quickly without compromising on accuracy.
Advanced vision system
AI-enhanced recognition
AIDIS 100QC utilizes a 26MP color camera and white LED lighting to capture clear and detailed images of SMD components. Visual recognition and comparison are conducted through an AI model, which enhances the inspection process by accurately identifying and analyzing various features of the components.
Versatile SMD size support
Flexibility in application
AIDIS 100QC supports a wide range of SMD sizes, from a minimum of 2x3mm to a maximum of 50x50mm, and heights ranging from 0.3 to 10mm. This versatility makes the system suitable for inspecting a variety of SMD components, catering to diverse manufacturing needs.
Applications
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Manufacturing
Defect detection
