Implementation of Extracting Infrared Camera Information Based on Python
In order to solve the problem of low efficiency in extracting infrared camera informa-tion for forestry workers in protected areas,this article introduces a method based on Python language to extract attribute information of infrared camera photos owned by the Dalaoling Na-tional Nature Reserve.The specific content uses Python's image processing library to process photos,automatically extract attribute information such as shooting time,longitude and lati-tude,and altitude,and uses Python programs to batch exclude empty photos,Reduced the tedi-ous operational steps of forestry workers,providing convenience and efficiency for subsequent research on the distribution and activity rhythm of various animals in the protected area.The experimental results show that the method proposed in this article can effectively extract attrib-ute information from infrared camera photos,and can be effectively applied in practical applica-tions,with a hundred times improvement compared to manual operations.
Dalaoling National Nature ReservePython languageinfrared cameraanimal release locationGPSbatch processing
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