Aiming at the problems of fragmented data, singlea functionality, and insufficient real-time performance in current pet health management, an intelligent pet wearable device based on STM32 is designed. The system uses the STM32F103C8T6 microcontroller as the core, integrates multi-sensor and Internet of Things (IoT) communication modules, and constructs an integrated pet health management platform of "perception-analysis-warning-interaction." At the hardware level, a modular design is adopted to realize functions such as GPS positioning, heart rate and blood oxygen monitoring, and motion behavior recognition. At the software level, through embedded algorithms and cloud collaboration, data fusion, health assessment, and remote interaction are completed. Test results show that the system positioning error is ≤5 meters, heart rate monitoring accuracy is ≥95%, motion recognition accuracy is ≥90%, and response delay is ≤1 second, demonstrating good reliability and practicality. It can provide pet owners with all-weather, comprehensive pet health monitoring services.

Luo Shunan, Deng Yun, Zhang Yucheng. Design of an Intelligent Pet Wearable Device Based on STM32. Academic Journal of Engineering and Technology Science (2025), Vol. 8, Issue 5: 107-112. https://doi.org/10.25236/AJETS.2025.080515.

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