In view of the current higher requirements for comfort issues such as adaptive car seat adjustment, human size measurement technology is gradually improving in China. In this paper, combined with the non-contact measurement technology method, a body size measurement system based on image processing is proposed. It combines image processing methods such as open pose human pose estimation and edge detection, and achieves the advantages of simple algorithm, fast processing speed and high accuracy, the error rate is 0.19125, to prepare for the self-adaptive car seat adjustment system, and also to provide a reliable reference for further improving the measurement method of human body size.

Achieving safe and comfortable driving is the main target of in-vehicle electronic devices. Infrared rain sensors in vehicles are useful when raining. It works by reflecting harmonious light beams on the windshield. When raindrops land on the windshield, this harmony is disturbed, causing the beam intensity to drop. The system then activates the wipers to operate fully automatically. With the help of the rain sensor, drivers can focus on driving without distraction, thus enjoying a comfortable environment. So far, most of the domestic rain sensors are supplied from abroad, and only a few high-end cars are equipped with rain sensors. In this context, a reliable and inexpensive vehicle-mounted infrared rain sensor has become an urgent need. This paper introduces the basic principle of rain sensors and proposes a simple and reliable detection method. This work is dedicated to analyzing some interference factors that affect the rain sensor work and putting forward a series of solutions. Experiments show that the rain sensor meets the design requirements, and the detection principle and solution are feasible.