The invention relates to the technical field of detection equipment, and provides
algorithm-based multi-view strapdown type multi-
source image recognition equipment, which comprises a strapdown integrated guide module, the strapdown integrated guide module is mounted on the image recognition equipment through a
gyroscope of the strapdown integrated guide module, and the strapdown integrated guide module comprises a Hi3559A
processing module, a multi-view strapdown type multi-
source image recognition module and a multi-view strapdown type multi-
source image recognition module, the Hi3559A
processing module integrates a multi-source
signal fusion module, an image
information processing module, a control module, an operation module and a multi-core heterogeneous
processing module; a strapdown integrated guide head, wherein the strapdown integrated guide head can be independently and detachably mounted on the identification equipment; it can be understood that the method simulates the detection and
attack mechanism of an
eagle and tenon to the ground, is combined with the intelligent target detection and tracking, guidance
information extraction, guidance law, control law and other elements of the unmanned aerial vehicle, enlarges the reconnaissance area, stabilizes the tracking target, and improves the strike precision; on the basis of a strapdown guidance mode, an
optical path and processing model coupled with a reconnaissance
route and an
attack trajectory is designed, and the problems that an existing strapdown
guidance system is insufficient in
information acquisition, and a target is prone to being lost in the guidance stage are solved. A multi-
task network model is utilized to realize a target identification and tracking integrated method, and the problems of low identification speed, small sensing range and difficulty in target search are solved.