Real-Time Internet-based Technology Applying Machine Learning Algorithm to Identify Airplane
DOI:
https://doi.org/10.56536/jicet.v4i2.156Keywords:
Algorithm, accuracy, Airplane, recognitionAbstract
Aircraft identification is critical in remote sensing for both civil and military purposes. The main challenge arises from subtle characteristics that cause significant variation within the same segment, such as differences in size, posture and angle. , while only minor differences exist. Among similar subcategories, it is important to accurately identify aircraft types such as radar systems, although commonly used, and often lacking accuracy. Anaconda, a state-of-the-art object recognition algorithm for aircraft recognition in the environment, achieves 98% training accuracy and 75% artificial intelligence accuracy by allowing computer systems to recognize objects from visual images or videos. Allows for analysis. The system is further equipped with an audio alert feature that activates when a potentially dangerous aircraft is detected. The project uses Python 3.6 (or later) and the necessary Python modules is, which makes it efficient and effective