NOTE DETECTION USING COMPUTER VISION
Cameras turn out to be a standard feature of PC hardware and a mobile device. Thus computer vision is expanding its horizon from a niche tool to an increasingly common device for a diverse range of applications. At its core, computer vision is developed upon the fields of mathematics, physics, biology, engineering, and of course computer science. Nowadays, there are more casual developers opening the door to many new application and innovation due to inexpensive rate of hardware requirement.
This research proposed to recognize musical tones via keyboard. Using computer vision it produces visual information recognizing piano-notes in real time. It aims to generate a video based on the rendered images captured by the camera from the position of the fingers in the keyboard. Keywords: computer vision, notes detection
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In the 21st century, it has become a trend that machines are replacing the man in many fields. The evolution of modern computers and the development of the branch of Artificial Intelligence, gives man a chance to make a machine that can replace man from the field reliable on human intellectual power. Technology affects on how our civilization grows and how it transform the world. Because of technology we innovate reality by indulging individuals to make impossible be possible. Computer Vision emerges from the area of Artificial Intelligence which enable computer to recognize visual data from static images and video progression. Image processing, pattern recognition, computer graphics, virtual reality, medical imaging, robot vision, and image databases are related fields of computer vision. Furthermore, computer vision continues to broaden its area in technological development which intersects and interfaces the revolution of our lives.
Griffin, Paul (1990) stated that the principal goal of robot vision is to increase the flexibility with which a robot can interact with its environment. It is desirable to give the robot the ability to recognize objects and to determine the position and orientation or pose of the object.
Computer vision provides a primary method for understanding how to make intelligent decisions about an environment, on the basis of sensory inputs. Vision systems only receive measurements of reflected brightness as input. Image brightness is not generally independent, and the goal of computer vision is to determine sufficient additional constraints to invert brightness into scene parameters. One class of methods achieves inversion by fixing some scene parameters. A 2nd class of methods achieves inversion by restricting the problem domain. A 3rd class achieves inversion by acquiring additional images. (W.E.L. and J.L Mundy,1994).
The propose system introduces an application using computer vision for notes recognition. A camera records a live video stream, from which a snapshot is taken according to the movement of the red light. A research was carried out on a number of algorithms that could best differentiate the movement. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different colors, separating the red color from the other. The user can play the keyboard in view of the camera naturally. A completely robust hand gesture recognition system is still under heavy research and development; the implemented libraries serve as an extendible foundation for future work. Objectives of the Study
Generally, our research intends to make a video tutorial easier to produce using Computer Vision which aims: * To recognize musical notes using computer vision.
* To developed real visions based on the...
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