低本高效人脸识别系统设计的汽车记忆座椅模块开发

近年来，记忆座椅作为一种新型的座椅形式，因其简便的操作过程收到广大消费者的青睐。但是目前国内外绝大多数的记忆座椅仍然面临着成本高、调节准确度低的问题。为改善车主的使用体验，本研究提出一种座椅自适应调节电控模块，基于人脸识别技术，通过更加简洁高效的代码使得操作更加便捷、调节更加准确。首先，通过单片机使用OpenCV确定最佳人体识别方案；然后运用MCU自动控制技术进行座椅控制系统的电路设计及电控程序的编写；最后使用STM32单片机运行电控模块并进行验证，识别成功率达92%。研究结果显示，该人脸识别系统在保证了识别准确率的同时控制了成本，结合汽车中的记忆座椅后对于简化座椅调整流程、改善用户实际体验效果具有实际意义。

Low-cost and efficient face recognition system design for car memory seat module development

In recent years, memory seats, as a new form of seating, have been favoured by consumers for their easy operation process. However, the vast majority of memory seats configurations domestic and overseas still facing the problem of high cost and low adjustment accuracy. In order to improve the experience of car owners, this study proposes a seat adaptive adjustment electronic control module, based on face recognition technology, through a more concise and efficient code to make the operation more convenient and the adjustment more accurate. Firstly, the best human recognition scheme is determined by using OpenCV through the microcontroller; then the MCU automatic control technology is used for the circuit design of the seat control system and the writing of the electronic control program; finally, the electronic control module is run and verified by using the STM32 microcontroller, and the recognition success rate reaches 92%. The research results show that the face recognition system ensures the recognition accuracy while controlling the cost, and it has practical significance for simplifying the seat adjustment process and improving the actual experience effect of users after combining with the memory seat in the car.