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Industry Overview
The key function of the optical lens is to improve the effectiveness and correctness of the object by offering better optical performance. With technological innovation, the optical lens finds multiple new uses in different application industries,
including medical, dental, automobile and VR industries.
Lens manufacturing requires highly precise and advanced manufacturing technology. The manufacturing process of optical lenses will affect the quality of captured images. In order to keep up with the market needs, manufacturers stay ahead and keep pace with technological advancement and brings together speed and precision.
Technology
SMore Factory provides digitization solutions for the optical
industry, including defect detection, packaging standards, optical character recognition, and big data analytics, etc. SmartMore provides reliable OCR scanning solutions for labels and DPM codes on different surfaces, making it easier and more efficient for product tracking as well as real time locating.
Technology
SMore Factory provides digitization solutions for the optical industry, including defect detection, packaging standards, optical character recognition, and big data analytics, etc. SmartMore provides reliable OCR scanning solutions for labels and DPM codes on different surfaces, making it easier and more efficient for product tracking as well as real time locating.
Solution & Application
OCR Solution for
Optical Lens Industry
Codes on semi-finished lenses do not follow standard coding rules, which require specific decoding methods to read the information. Based on SmartMore’s-technology, SmartMore has developed an optical lens recognition and sorting machine, equipped with an optical measurement system, to acquire one-stop lens information, including lens focal length and thickness. The lens information is bound to the invisible code, and the sorting equipment pushes the lens into the corresponding end to trace the production cycle.
OCR Solution for
Optical Lens Industry
Codes on semi-finished lenses do not follow standard coding rules, which require specific decoding methods to read the information. Based on SmartMore’s-technology, SmartMore has developed an optical lens recognition and sorting machine, equipped with an optical measurement system, to acquire one-stop lens information, including lens focal length and thickness. The lens information is bound to the invisible code, and the sorting equipment pushes the lens into the corresponding end to trace the production cycle.
Data Analytics System for Predictive Maintenance
During the manufacturing process, automation equipment will generate hundreds of real-time data and parameters, and each parameter will change in accordance with the production process. It will then produce tens of thousands of data values in one production. Based on the vast amount of collected data, SmartMore can analyse and make predictive maintenance to achieve better decision making.
SmartMore’s module can achieve full inspections for the precision manufacturing industry.
Data Analytics System for Predictive Maintenance
During the manufacturing process, automation equipment will generate hundreds of real-time data and parameters, and each parameter will change in accordance with the production process. It will then produce tens of thousands of data values in one production. Based on the vast amount of collected data, SmartMore can analyse and make predictive maintenance to achieve better decision making.
SmartMore’s module can achieve full inspections for the precision manufacturing industry.
Pass rate
Overkill rate
Save
of manpower cost
*The above numbers are calculated based on the average performance of SmartMore’s solutions on the clients’ production lines.
Innovation
As one of the largest pioneer for smart manufacturing, SmartMore’s technology breaks limitations, providing a truly comprehensive platform that can be applied cross-industries. As a result, our technology grows more and more powerful and mature from the learning through various industries, whether it’s automotive, electronics, semiconductors, or digital experience, etc.
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