How is the bird monitoring and bird identification system in nature reserves built? What technologies are needed? How to monitor and identify the species and number of birds?

In the past, bird monitoring in nature reserves was mainly manual monitoring, and fixed-point observation was carried out in bird gathering areas by using telescopes, high-power cameras, telephoto lenses and other equipment.

At present, bird monitoring in many nature reserves and wetland parks mainly adopts high-altitude cameras and AI artificial intelligence processors distributed in the front end, rather than manual observation. IOT Yingka's AI intelligent bird monitoring system is based on high-altitude telephoto cameras distributed in wetland parks, which can automatically cruise to capture and intelligently identify the surrounding birds, and make full use of the high-performance computing power of AI visual recognition and AI edge computing server. The images taken by high-altitude telephoto cameras are segmented, detected and recognized in each frame. Based on multi-layer convolutional neural network and deep learning algorithm, by extracting all kinds of bird body features and assisting tens of thousands of photos and video materials for feature training, birds in video images can be captured in real time and automatically identified and classified.

Through a large number of bird picture recognition training, AI's ability to recognize the species, characteristics and quantity of birds is getting stronger and stronger, which is much higher than that of manual monitoring. It can continuously capture, identify and count birds and provide data support for scientific research.

I hope I can help you, and I hope to adopt it!