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Application case | Cured Tire Sidewall Scanning Machine 2.0

Cured Tire Sidewall Scanning Machine 2.0

This device can automatically recognize and identify the letters,numbers,patterns,and custom logos on the tire sidewall.

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Device Function:

Extra wrong character detection, Missing Character Recognition, Pattern Logo Recognition, Standard Comparison, Alarm Position Display, Standard Tire Generation Template And Other Function

Features:

  1. Adopt Neural Networks technology to quickly identify characters and patterns based on their features, with high recognition accuracy;

  2. Easy to operate and automatically recognize tire models and adjust the Shooting position;

  3. No manual required, double-side scanning at the same time;

  4. The algorithm is robust and new tire specifications do not require relearning

  5. The testing standards can be obtained through MES (online and offline), local database, standard tire generation template, etc.;

  6. This system uses a self-developed visual inspection platform to achieve customized function development.

Specification Parameter

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Product Value

  1. . A Single person is capable of completing all operations, eliminating the traditional work mode that requirecollaboration between the quality department and multiple factory personnel for changes;

  2. It can achieve seamless integration with the MES system and realize on/off control of the vulcanizing machine;

  3. By increasing the detection rate and reducing the occurrence rate, the RPN value was reduced to meets theaudit reguirements of the host factory;

  4. Improve detection efficiengy. Manual inspection takes about 20 minutes, while this equipment only takes about 2-3 minutes;

  5. Reduce waiting time for vulcanizing machines, save energy and reduce consumption;

  6.  Effectively avoid batch quality incidents caused by human inspection errors, thus reducing the market risk for the companylowering quality costs and enhancing the company's brand image;

Working Procedure

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Application Video:

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Editor:UTech Time:Mar 24,2020 INDUSTRIAL FILED
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