This invention discloses a lightweight traffic
video processing and multimodal intelligent
perception system and method, comprising: a streaming media preprocessing module for performing availability detection and parameter configuration on the accessed video
stream and outputting a stable video
stream; a video
polling and frame extraction module for establishing a video
polling queue, extracting key frames from the video
stream, and splicing them into a lightweight video stream; a
deep learning algorithm module for using a lightweight visual model to perform preliminary traffic event detection on the lightweight video stream; a multimodal
large model service module for secondary confirmation of detected traffic events, extraction of key information, and generation of event reports; and a
perception and analysis platform module for realizing the
visualization, hierarchical dispatch, and closed-loop management of traffic events. Compared with existing technologies, this invention reduces the computational power requirements for
video processing through video stream
polling and
key frame extraction mechanisms, enabling lightweight access and
processing of large-scale road network videos.