Wild animal optimization identification algorithm based on convolutional neural network

Abstract

The invention discloses a wild animal optimization identification algorithm based on a convolutional neural network. A calculation module, a transmission module, a positioning module and an identification module are included. The calculation module is used for calculating data; the transmission module is used for high-speed low-delay transmission; the positioning module is used for satellite positioning to form positioning; the identification module is used for bird voiceprint recognition. The structure is scientific and reasonable, the algorithm is safe and convenient to use, the calculationmodule is used for calculating data; the transmission module is used for high-speed low-delay transmission; the positioning module is used for satellite positioning and forming the positioning, and the identification module is used for bird voiceprint recognition, so that the accurate monitoring of wild animals is completed together, air, space and ground data are output on an integrated platform,the analysis data of most national protection areas and wild protection institutions finally form data statistics and analysis of national main wild animals, and the variation trend of species is monitored in real time.

Description

technical field [0001] The invention relates to the technical field of wild animal optimization recognition, in particular to a convolutional neural network-based recognition algorithm for wild animal optimization. Background technique [0002] Wild animals refer to animals that grow in the natural environment and have not been domesticated. Wild animals can be divided into broad and narrow senses. In a broad sense, they generally refer to beasts, birds, reptiles, amphibians, fish, molluscs and insects. In a narrow sense, it refers to the above-mentioned types of animals except fish and invertebrates, including beasts, birds, reptiles and amphibians. According to the close relationship between wild animals and humans, wild animals can be divided into wild animals. Wild animals in the environment and artificially bred wild animals, the wild animals protected under the "Wild Animal Protection Law" refer to precious and endangered terrestrial and aquatic wild animals and terres...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an optimized identification algorithm for wild animals based on convolutional neural network, which can effectively solve the problem that the optimized identification algorithm for wild animals on the market is not comprehensive enough, slow in data reception and transmission, and cannot Statistical and analysis of data, resulting in low recognition rate and incomplete information

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