libcimbar implements a high-density 2D barcode format designed for secure, air-gapped data transfer. It encodes data using colored tiles, offering high bit density and resilience against video decoding errors. The library includes tools for encoding files into animated cimbar codes and decoding these codes from video streams, utilizing fountain codes and zstd compression for efficient data handling. It is written in C++ and leverages optimizations for web browser and embedded system deployment.
Notable for its unique color-icon matrix design, enabling high-density barcode representation. Its implementation supports both encoder (WASM) and decoder (Android) functionalities for versatile use cases. The utilization of fountain codes offers robust error correction, and zstd compression optimizes file sizes. The encoder's WASM compilation allows for cross-platform compatibility via web browsers, including offline use.
- Core Functionality: Encodes files into animated color-icon matrix barcodes and decodes these barcodes from video streams.
- Platforms: Supports amd64+linux, arm64+android (decoder), and emscripten+WASM (encoder).
- Error Correction: Employs Reed Solomon error correction for robust decoding, achieving sub-1% error rates.
- Compression: Integrates zstd compression to reduce the size of encoded data.
- Web Browser Support: Encoder compiles to WASM, enabling operation in modern web browsers.
- OpenCV Dependency: Relies on OpenCV for video processing and decoding.
- Command Line Tools: Includes command-line tools for encoding and decoding files.
The project is actively maintained, with recent commits indicating ongoing development and bug fixes. A substantial number of stars and forks suggest community interest and adoption. Comprehensive documentation and examples are available, though further improvements could be made to enhance clarity and completeness, particularly around advanced usage scenarios. Issue reporting on GitHub is active, indicating responsiveness to user feedback.
libcimbar benefits developers needing secure, offline data transfer solutions, especially in environments where network connectivity is restricted. Use cases include air-gapped systems, embedded devices, and applications requiring high-density data storage on camera screens. It provides an alternative to traditional barcode formats offering improved data capacity and robustness against video artifacts.