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TS018-1.0.0 LoRaWAN Device Identification QR Codes for Automated Onboarding

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LoRaWAN ® Device Identification QR Codes for Automated Onboarding Specification TS018- 1.0.0 ©2026 LoRa Alliance ® Page 13 of 17 The authors reserve the right to change specifications without notice. APPENDIX B. EXAMPLE QR CODES 342 343 The below example QR code images were generated using the example Python code 344 [QRGEN]. 345 A. QR Code Generation Parameters 346 347 The provided example QR codes generator uses the following technical parameters compliant 348 with ISO/IEC 18004. 349 350 QR Code Configuration: 351 - Version: Automatic (starting from version 1, auto-scaling based on data length) 352 - Error Correction Level: M (Medium) - approximately 15% error correction capability 353 - Module Size: 4 pixels per module (configurable for different print/display requirements) 354 - Quiet Zone: 1 module width border (minimum quiet zone as per ISO/IEC 18004) 355 - Character Set: QR Code "Data type 2 (ALPHA)" refer to chapter 4.1 356 - Data Mode: Byte mode for maximum compatibility across scanning devices 357 358 Visual Specifications: 359 - Foreground Color: Black (#000000) 360 - Background Color: White (#FFFFFF) 361 - Contrast Ratio: Maximum contrast for optimal readability 362 363 Quality Recommendations: 364 - The Medium error correction level (M) provides a balance between data capacity and 365 error recovery, suitable for typical industrial and field environments where LoRaWAN 366 devices are deployed 367 - The 4-pixel module size ensures readability at typical viewing distances while maintaining 368 compact QR code dimensions 369 - Auto-scaling version selection ensures optimal QR code size based on the amount of 370 encoded device data 371 372 These parameters ensure reliable scanning across various QR code readers while 373 maintaining compact code dimensions suitable for device labeling applications. 374 375

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