In the first step, sensor data is normalized to a uniform scale, which simplifies the encoding process and ensures consistency across different types of data inputs. This step is crucial for maintaining accuracy and precision in a wide variety of IoT applications.

ZetaEncoder’s technology uses a highly efficient indexing system. Values that exceed a predefined threshold are processed to calculate an index and a residual small value, which optimizes the data structure. This allows for the reduction of data size while maintaining key information integrity.

The “zhex” technology can recognize and handle special predefined cases in a highly efficient manner. By using less computational power to process these cases, it ensures accurate data representation while preserving system resources, making it ideal for bandwidth-constrained environments.