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Label Dynamic Inspection solution Based on AI-CV

Solution brief

Existing production lines mostly use manual inspection of label content and defect detection, there are inefficiency and poor reliability, high defective rate, production

labour and after-sales costs, brand image damage and other issues.

Dihuge "AI-based label dynamic inspection system", based on AI vision of the deep neural network algorithm model as the core, combined with the appearance of the

inspection, barcode reading, label content recognition and defect detection modules, a complete set of multi-functional intelligent integrated system, can quickly

complete the customised development, localised deployment, and effectively solve the above problems. Solve the above problems.

Solution function

Integration of multiple intelligent identification modules, including appearance attribute identification (e.g. size, colour, etc.), barcode reading and label content identification, label defect identification (e.g. defective label printing, blurring, disconnection, poor screen printing, etc.)

Bright spot

The system integrates multiple intelligent identification and detection modules; the deep learning algorithm model has high accuracy; it supports customers' rapid and highly customised requirements; the system can be docked to achieve the "four no's" and can be deployed efficiently and quickly; it is versatile and stable, and it has been applied in a number of the world's top 500 enterprises.

Barcode reading, OCR recognition of label content, defect detection needs.
Deep learning algorithm models support customer-specific label font and colour (appearance) recognition, and label defect detection needs.
The system achieves "four no" docking: no line modification; no stay dynamic identification detection; seamless data docking; no cloud deployment.
The system's deep learning algorithm model greatly improves recognition accuracy compared to traditional processing methods.
In many of the world's top 500 manufacturing companies in the implementation, successful cases, implementation and deployment of fast.

Application scenario

Product case

As product quality standards and after-sales service requirements are getting higher and higher, product appearance quality inspection (such as size, colour, etc.), barcode reading, label content OCR recognition, and related defect detection (such as product surface defects, label printing errors or poor print quality, etc.) is getting more and more attention. Existing production lines are mostly manual inspection, low efficiency, poor reliability, resulting in unstable product quality, high defective rate, production labour and after-sales costs, brand image damage and a series of problems. HP printer project is the appearance of the printer label inspection, mainly to detect the colour accuracy, handwriting clarity, whether the content is correct, whether the label is pasted in accordance with the specified location, label printing errors or poor print quality and other defects. Performance indicators fully meet customer requirements, in several key indicators of performance beyond customer expectations.

Printer Label Inspection Scene
Printer Label Inspection Scene
Printer Label Inspection Scene