The invention discloses an embedded AI
edge computing system structure and an external component configuration method, and belongs to the field of AI
edge computing equipment design. The
system is based on a Jetson AGX Orin platform, comprises a plurality of standardized interfaces, and can flexibly access different types of external equipment. The
system is compact in structural design, space can be effectively saved, and meanwhile stable operation of equipment in different environments is supported. Through the design of an extensible interface, the system can flexibly add external equipment, such as a sensor and a camera, according to actual demands, and supports future technology upgrading. Each interface is subjected to optimization design, high efficiency and stability of
data transmission are ensured, and the problem of
signal loss or interference is avoided. The external component configuration method is flexible and adjustable, application requirements of different users can be met, and wide expansion capability is provided. The
system structure not only improves the computing power of the equipment, but also optimizes the aspects of
power consumption management, heat dissipation,
system stability and the like, and is suitable for multiple fields of automatic driving,
intelligent robots,
industrial Internet of Things and the like.