Camera with Artificial Intelligence of Things (AIoT) Technology for Wildlife Camera Trap System

被引:0
|
作者
Huang, Heng-Chih [1 ]
Lin, Chun-Hung [1 ]
Liu, JainShing [2 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung, Taiwan
[2] Providence Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
关键词
Edge AI; IoT; AIoT; Machine Learning;
D O I
10.1109/CCWC57344.2023.10099252
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With regards to wildlife research, field observation and investigation are generally required for researchers to find out the species and behaviours of the inhabitants around a certain area. Since the activity time for different species varies, the researchers usually spend a consciously large amount of time in the field recording the information. To save manpower and time, camera traps are thus created to carry out this time-consuming task in an effective way. Researchers can obtain information such as the inhabitants' species, their show-up time and the on- the-spot temperature which could be analyzed preliminarily so that an advanced and productive study can follow. In fact, owing to the various constraints and inconvenience upon data access to the camera traps, those devices are now designed with IoT technology as its development becomes more successful, which allows users to access information in real time and more conveniently. Sadly, it also causes some other problems in the meantime. Consequently, throughout this research, we hope those associated problems can be resolved in use of AIoT technology and hence figure out a dedicated architecture for the wild environment thereafter.
引用
收藏
页码:252 / 258
页数:7
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