The invention discloses a binocular recognition all-in-one
machine, and relates to the technical field of intelligent security and protection. Comprising a bifocal
binocular vision acquisition module, a self-supervised dynamic calibration module, a heterogeneous intelligent calculation module, a multi-
modal fusion identification module and a linkage response module, and the identification method comprises the steps of multi-
source data acquisition, dynamic calibration,
feature extraction and fusion, multi-task
parallel processing and
intelligent decision and response. According to the invention, cooperation of large-range monitoring and long-distance detail identification is realized through a bifocal lens group, environmental interference is eliminated in combination with a self-supervised dynamic calibration mechanism, personnel identification,
vehicle identification and unmanned aerial
vehicle detection tasks are efficiently processed in parallel by adopting a CPU + GPU + FPGA heterogeneous architecture, depth, motion and semantic features are fused to construct a multi-target
threat assessment model, and the multi-target
threat assessment model is established. And a hierarchical linkage response is triggered. According to the invention, the problems of limited
field of view, poor environmental adaptability, low multi-task
processing efficiency and the like of traditional equipment are solved, and a full-scene, high-reliability and intelligent
security solution can be provided for key areas.