Bird monitoring, including the monitoring and analysis of bird species, numbers, distribution and other information, has become one of the normalized tasks of wetland parks, terrestrial wildlife protection authorities at all levels, scientific research institutions, bird ring stations and wildlife disease monitoring stations.
In 2020, the National Forestry and Grassland Administration issued the Notice on Effectively Strengthening Bird Protection, which is currently the most comprehensive, authoritative and highest-level regulation on bird protection. The notice pointed out that it is necessary to further clarify the tasks, strengthen measures, and solidly promote the protection of birds.
In terms of strengthening the monitoring of bird populations and dynamics, it is necessary to continue to carry out scientific research activities such as population dynamic monitoring and bird ringing in important bird habitats and major flyways, grasp the changes in bird populations and the spatio-temporal dynamics of migration, understand the hotspots and threat factors of bird protection in various regions, and gradually establish a bird protection monitoring system.
Relatively speaking, bird monitoring and identification has a high degree of complexity, bird flight routes are uncertain, landing points are uncertain, time is uncertain, monitoring areas are diverse (forests, wetlands, lakes, grasslands, etc.), and some bird habits, shapes, and colors have extremely high similarity, which makes the requirements for bird monitoring and identification technology extremely high.
In view of the above factors, our TX9708 series AI bird monitoring system has realized various targeted recognition algorithms, fully considering various scenarios of bird detection and identification, and can realize the functions of specific species identification, bird number statistics, bird distribution statistics, intelligent identification and tracking, etc.
Artificial intelligence AI bird breed recognition.
It supports the identification of bird species in stationary or flying state, and currently supports the identification of 1400+ species in Chinese mainland.
Artificial intelligence AI bird detection.
It supports detection and identification of whether there are birds in ** or **, and statistics on the number of birds, regional distribution, etc.
Grade II protected animal - gray crane.
In addition to bird monitoring in nature reserves, the open platform of Tianxin Intercom AI Bird Identification System Bird Detection and Recognition Algorithm can also be applied to AI wildlife monitoring and identification, intelligent bird feeders and other scenarios, improving the accuracy and efficiency of bird identification through artificial intelligence algorithms, and providing important support for bird protection and publicity.
Grade 1 protected animal - black stork.
Grade II protected animal - whooper swan.
Bird species: giant panda - Chinese merganser.
The TX9708 AI Bird Monitoring and Identification System of Tianxin Hutong completes the accurate monitoring of wild birds through the recognition algorithm of rare species optimization based on edge computing power, GPU control cluster and deep learning, relying on 4G 5G, combined with the high-speed and low-latency transmission bit of Beidou Ding, and bird image recognition technology, and finally outputs the air-space-ground data on the integrated platform.
AI Bird Identification System, Bird Recognition Software, Bird Monitoring System, Bird Monitoring Equipment, Artificial Intelligence Bird Monitoring Identification.