• Prabakaran R
• P. Sivaprakash
• K Arun Kumar
• Revathi A

This paper presents details of the Air Canvas project. In recent years, one of the most fascinating and challenging research areas in the fields of image processing and pattern recognition has been writing in the air. It makes a significant contribution to the development of an automated process and can enhance the interface between a machine and a human in a variety of applications. Numerous studies have concentrated on new methods and techniques that would speed up recognition while reducing processing time. Within the discipline of computer vision, object tracking is regarded as a crucial task. The development of faster computers, the availability of affordable, high-quality video cameras, and the requirements for automated video analysis have made object-tracking systems more and more common. In general, there are three main parts in the video analysis process: identifying the object, following its movement from frame to frame, and then analyzing the object's behavior. Four major considerations are made for object tracking: choosing an appropriate object representation, choosing tracking features, identifying objects, and tracking them. Object tracking algorithms are a key component of many applications in the real world, including autonomous surveillance, video indexing, and vehicle navigation. This gap is exploited by the project, which focuses on creating a motion-to-text converter that may be used as software for wearable intelligent devices that allow for writing in the air. This endeavor serves as a reporter of infrequent gestures. The finger's route will be traced using computer vision. Messages, emails, and other types of communication can all be sent using the created text. The deaf will be able to communicate effectively thanks to it. By doing away with the need to write, it is an efficient way to cut down on the use of mobile devices and mobiles.

Tracking, Opencv, Paint.

"Air Canvas with OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.g374-g379, February-2024, Available :http://www.jetir.org/papers/JETIR2402647.pdf

"Air Canvas with OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppg374-g379, February-2024, Available at : http://www.jetir.org/papers/JETIR2402647.pdf