Paint / Writing Application through WebCam using MediaPipe and OpenCV

Abstract

Writing, a cohesive form of communication that helps us convey our thoughts as efficiently as possible. But in today's modern world, typing is also considered as a way to record information along with writing. Characters or phrases are written withinside the unfastened area with a marker or finger. With the improvement of clever wearable gadgets, the virtual international can now be controlled with the aid of using human gestures. These wearable gadgets can understand and recognize our actions. Recognizing and interpreting a non-stop sequential gesture to circulate from the given set of input statistics is gesture recognition. Gestures are non-verbal information used to enhance laptop language understanding. Human gestures are perceived with the aid of using imaginative and prescient, and laptop imaginative and prescient is used to research diverse gestures. The project takes advantage of this gap and makes a speciality of growing a motion-to-textual content converter that can potentially serve as a program for clever wearable gadgets for writing in the thin air. The device will use the laptop imaginatively and presciently to hint the finger's path, and in that way, it is easy to write from above. The generated textual content also can be used for different purposes, the same as any different content would serve. It will be a whole new means of communication for the deaf as well. It is a powerful communication method that reduces mobile phone and computer utilization with the aid of disposing of what you want to write.