How is AI intelligent bird monitoring and identification realized? What is the principle?

As an important indicator of biodiversity and ecological environment evaluation in a region, bird monitoring has been paid more and more attention by local management departments such as nature reserves and wetland parks. Dynamic monitoring of bird population, number and distribution has become a normal work in various regions.

In the past, monitoring mainly relied on manual and human observation. With the development of AI artificial intelligence and the improvement of computer vision technology, more and more nature reserves in China have established intelligent bird monitoring and identification systems. With the blessing of AI technology, the monitoring efficiency and accuracy have been greatly improved.

AI intelligent bird monitoring system realizes automatic cruise capture and intelligent identification of surrounding birds through the high-altitude telephoto camera deployed in the protected area, and uses artificial intelligence visual identification and AI edge calculation services to segment and detect and identify each frame of bird images shot by the high-altitude telephoto camera. Through deep learning algorithm, various bird body features are extracted, and multi-target real-time capture and automatic identification and classification of moving birds in video images are realized.

Through this system, the managers of wetlands and nature reserves can make clear statistics on the frequency, quantity and proportion of birds in different periods and regions, and provide reliable data support for bird dynamic monitoring and development trend analysis.

The functional features of AI intelligent bird monitoring system are:

1.？ Dynamic optimization and data retrieval

Support manual analysis and optimization of photo storage and retrieval, and input data according to the equipment situation (equipment distribution area, equipment name) and shooting time. Search.

2.？ Specific species identification

Rare and endangered or specific species AI identification picture display, representative specific species AI identification dynamic video display, ecological microenvironment monitoring data display, bird time and space data display.

3.？ Intelligent identification and tracking

AI identification and video tracking analysis of birds captured by the front-end camera can provide bird identification and tracking results and real-time images of tracking video through the edge AI high-performance processor. AI recognition of graphics by edge AI high-performance processor can identify the species and number of birds.

4.？ Data analysis and statistics

Provide data classification statistics of bird monitoring equipment based on time and space, including distribution heat map, species trend statistics, population statistics, time monitoring statistics, species proportion statistics, etc.

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