Practical Value and Optimization Directions of Sensor Intelligent Perception Scheme on STM32 Platform

Abstract

Analyze the practical value and optimisation directions of sensor intelligent perception schemes based on the STM32 platform in this paper. STM32 is not only a low-cost control chip but also suitable for implementing integrated sensing and local processing, as well as communication and lightweight intelligent decision-making in embedded systems, as this paper explores. Based on smart sensor theory, Internet of Things architecture, multisensor fusion studies and recent STM32 artificial intelligence tools, this essay explores the prospects of STM32-based schemes for real-time response, deployment flexibility, system integration and edge-side data utilization. The following are the general optimisation directions of such schemes: sensor selection, interface coordination, fusion algorithms, energy management, memory optimisation, edge AI deployment and reliability enhancement. Therefore, the value of STM32-based intelligent perception lies not only in hardware cost but also in the combined design of a sensing architecture, embedded computing resources and application-specific optimisation strategies.