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APPLICATION OF HAND DETECTION IN PPT AND MOTION DETECTION IN UNITY FOR ANIMATION USING PYTHON AND C# IN RASPBERRY PI

. K SHAKTHI & N SARAVANAN


Abstract

The main aim is to build an hand detection and motion detection module and  implementing them in the different platform. And injecting this system into the raspberry-pi4 b. Hand detection and motion detection is one of the most concern detection in machine learning and in object detection world. By using this detection we can implement it in different forms of platform inside a raspberry-pi. Our hand detection is implemented in the presentation module by inserting the presentation slides into the raspberry pie we can connect the slides then the slide will enter into the hand detection environment where the slides can be controlled by hand no need of keyboard or mouse and no need of digital pens. We can just perform additional operations such as writing in slides and turning pages front and backwards. And erasing the sketched text. By this the classes will be more interactive and we can reduce the cost of the extra accessories.

And for motion detection for spending most of the time in detecting every single motion is harder. This project came with the solution where the detection can be done from the video easily and we can get the landmark point of the every motion and store in as the text and collecting these text to the unity world we can convert the normal videos into an animated video using C# and python. This project system is mainly based on the reduction of cost to getting different tech components for a single processing and in executing the same output which costs us tons of money in other separate technologies.

Keywords: Raspberry pi, py charm, hand detection, motion detection,

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