Applications of visual navigation and intelligent recognition technology

This paper presents the design and implementation of an intelligent car system based on Raspberry Pi CM4, focusing on the camera module in the intelligent car. The camera module incorporates functionalities such as camera calibration, visual line following, color tracking, facial recognition, and label recognition. Utilizing image acquisition and processing techniques, this module can accurately perform various visual tasks. The system utilizes hardware components including the Raspberry Pi CM4 core board, relevant expansion boards, and corresponding visual processing equipment. The software portion is developed based on the Raspberry Pi Linux operating system, establishing a development environment and control interface suitable for the camera module's functions. System demonstrations and tests validate the stability and reliability of the camera module in autonomous driving and visual recognition tasks.