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@article{195341,
        author = {Saptarshi Paul},
        title = {Aviation Sign Language Detection System Using Machine Learning Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7949-7958},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195341},
        abstract = {Aviation Signs refers to those signs or hand signals which are primarily used in airfields and air marshals for a clear and a non-verbal communication between the ground staffs or the crew members and the pilots. Its main purpose is to provide a safe and efficient aircraft handling on the ground. There may be many critical solutions where verbal communication may not be happened due to high noise and irrelevant language barriers problems, in those places Aviation Sign language plays a huge part. Aviation Sign language is not a lexical sign language like American Sign Language (ASL), Indian Sign Language (ISL) or any other sign language , it is a universal set of gestures planned for only Aviation Industry. Mainly the crew members give the sign to the pilot for better understanding and take decisions based on the sign language used by the ground Staffs, any miscommunication can lead into accidents. Effective communication between the pilots and the ground staffs during aircraft ground operations, where safety and precisions are supreme, in such high noise environments the verbal communication becomes impossible for both the crew members and the pilots to understand. In such situations manual Hand Signals are used but using these gestures totally depends on human perception, there may be a human error, inconsistency in training and environmental constraints such as poor visibility due to lightning. Further, there is no such real time verification or technological support of a system to detect whether the signs used by the crew members or the ground staffs are correct or not. Therefore, there is a need of such system which can easily detect the aviation sign language system which can solve the problem as early and easily as possible.},
        keywords = {Transformer Architecture, OpenNMY-py, Machine Translation, BLEU score, Assamese},
        month = {March},
        }