Draft:The Non Static QR Code Algorithm

The Non-Static QR Code Algorithm

Introduction

QR (Quick Response) codes are two-dimensional barcodes capable of storing small amounts of data. They are widely used due to the rise of smartphones, which can easily read QR codes. However, traditional QR codes have limited data storage capacity. This paper introduces a novel technique to enhance QR code storage capability by introducing a non-static characteristic feature, allowing a significant increase in data storage and retrieval within the same processing time as static QR codes.

Need for Non-Static QR Codes

Need for Non-Static QR Codes

Static QR codes limit content data/information transactions, reducing their data transfer capability. This limitation becomes a drawback in an era where efficient and rapid data transfer is essential. Thus, a non-static QR code mode is necessary to improve data transactions in digital society. The proposed algorithm addresses this need by implementing a model using the Python programming language.

Overview of Non-Static QR Codes

Overview of Non-Static QR Codes

The non-static QR code system involves preprocessing data, generating QR codes, integrating these codes into frames, and displaying them as a video. The user scans the video to retrieve and decode the information.

Proposed Algorithm

Proposed Algorithm

The proposed algorithm for both the Admin end (displayer) and User end (scanner) involves the following steps:

• Admin End:

 # Preprocessing: Retrieve, segment, and label the data.
 # QR Code Generation: Create QR codes in image formats for each data segment.
 # Combine Frames: Merge the generated QR code images into a video format with a specific frame rate.
 # Display: The final non-static QR code is displayed as a video.

• User End:

 # Capture: Scan the non-static QR code video using a camera-equipped device.
 # Fragmentation: Break down the captured video into individual frames.
 # Decoding: Extract data segments from the QR codes in each frame.
 # Post-processing: Combine and clean the decoded data to remove labels.
 # Storage: Save the extracted information in a suitable format.

Model Implementation

Model Implementation

The implementation involves:

• Admin End:
  • Preprocessing data stored in a file by segmenting and labeling it.
  • Generating QR code images for each data segment.
  • Combining these QR code frames into a video format at a sample frame rate.
  • Storing the generated video to transfer information to the User end.
• User End:
  • Capturing the non-static QR code as a video.
  • Fragmenting the video into frames.
  • Decoding data segments from the frames and eliminating duplicates using labels.
  • Storing the final decoded data in a text format.

Conclusion

Conclusion

Handling non-static QR codes allows more effective interaction, transaction, and engagement among users, with a simple, accessible format that increases rapid information transfer. Proper implementation of this model will enable increased data transfer efficiency.

References

1. Tiwari, S., "An Introduction to QR Code Technology," 2016 International Conference on Information Technology (ICIT), Bhubaneswar, India, 2016.
2. Shin, D.H., Jung, J., & Chang, B.H., "The psychology behind QR Codes: User experience perspective," Computers in Human Behavior, vol. 28, pp. 1417-1426, 2012.
3. Sutheebanjard, P., & Premchaiswadi, W., "QR Code Generator," IEEE 2010 8th International Conference on ICT and Knowledge Engineering, 2010.