This hardware tool is designed for assistance and training for visually impaired people to identify the surrounding colored objects. Several researches are conducted all over the world to design advanced, reliable tool and techniques to support sightless individuals. This paper describes designing of a handheld device to assist visually impaired people for color identification via generated speech. Vision is one of the five senses which is essential for a human being to survive independently. All individuals acquire the external information through the visual coding entering into the eye. The light rays penetrate and stimulate vision receptors to execute the processing of image formation. In response, the brain is able to identify the object. Unfortunately, any accidents or visual disorders with age can restrict the ability to sight the external environment. A visually impaired person can identify the texture, shape and size of an object by touching. But the sense of touch does not permit color identification. This proposed wearable tool, aid mainly focuses on individuals who are unable to observe colors due to visual disorder. A hardware device is presented which generates the speech for color detection. In this proposed work RGB sensor is used to capture the color information of the entity. An Arduino UNO card is programmed using Arduino software 1.6.3 to enhance the signal. It generates a clear audible speech for the specific color of the object. The benefit of this device is low power battery operated, portable, safe and easy to handle.

The tasks of guard placement or sensor deployment in an art gallery, a museum or in the corridors of public and security buildings pose the same problem, which requires placing the guards or sensors so as to cover a specified set of nodes with a minimum number of sensors or guards, thereby reducing the overall cost of the system as well assist power consumption. Generally, minimization can be done using optimization techniques such as linear programming, but in case of sensor deployment or guard placement there is a need either to place or not to place the sensor or guard, and hence only Boolean or binary values are used. Therefore, in order to optimize such a problem, we use the special case of linear integer programming known as Boolean integer linear programming (0-1 ILP). Other algorithms like Pseudo-Boolean SAT Solvers can also be used for the minimization purpose. In this paper, we introduce these minimization algorithms for the sensor deployment problem. We also contribute a greed-based heuristic, which utilizes the fact that the pertinent propositional formulas have variables of purely un-complemented literals. This heuristic has much less computational cost compared to those of 0-1 ILP and the Pseudo-Boolean SAT Solvers.

This paper presents an intuitive and interactive computer simulated augmented reality interface that gives the illusion of a 3D immersive environment. The projector displays a rendered virtual scene on a flat 2D surface (floor or table) based on the user’s viewpoint to create a head coupled perspective. The projected image is view-dependent which changes and deforms relative to user’s position in space. The nature of perspective projection is distorted and anamorphic such that the deformations in the image give an illusion of a virtual three dimensional holographic scene in which the objects are popping out or floating above the projection plane like real 3D objects. Also, the user can manipulate and interact with 3D objects in a virtual environment by controlling the position and orientation of 3D models, interacting with GUI incorporated in virtual scene and can view, move, manipulate and observe the details of objects from any angle naturally by using his hands. The head and hand tracking is achieved by a low cost 3D depth sensor ‘Kinect’. We describe the implementation of the system in OpenGL and Unity3D game engine. Stereoscopic 3D along with other enhancements are also introduced which further improves the 3D perception. The approach does not require head mounted displays or expensive 3D hologram projectors as it is based on perspective projection technique. Our experiments show the potential of the system providing users a powerful, realistic illusion of 3D.

The traditional Harris detector are sensitive to noise and resolution because without the property of scale invariant. In this research, The Harris corner detector algorithm is improved, to work with multi resolution images, the technique has also been working with poor lighting condition by using histogram equalization technique. The work we have done addresses the issue of robustly detection of feature points, detected multiple of local features are characterized by the intensity changes in both horizontal and vertical direction which is called corner features. The goal of this work is to detect the corner of an object through the Harris corner detector with multiple scale of the same image. The scale invariant property applied to the Harris algorithm for improving the corner detection performance in different resolution of the same image with the same interest point. The detected points represented by two independent variables (x, y) in a matrix (x, y) and the dependent variable f are called intensity of interest points. Through these independent variable, we get the displacement and velocity of object by subtracting independent variable f(x,y) at current frame from the previous location f `((x,) `(y,) `) of another frame. For further work, multiple of moving object environment have been taken consideration for developing algorithms.