The paper presents the development of a novel information system for the visually impaired. The objective of the developed system is to enable the visually impaired people to get information of the incoming source of vehicle without any other physical help and to travel by vehicle such as buses to their desired destinations. This device works in such a way, where the visually impaired people are able to detect the arrival of a particular vehicle as their only source of transportation. The system incorporated is designed to be simple and portable hand held for the convenient usage. A simple wireless communication system with frequency modulation is employed for the signal transmission. The microcontroller in the system is used to generate the automatic signal that is transmitted through the FM transmitter. The signal picked up by a single chip FM receiver and announces voice message of the coming vehicle information using the voice record and playback device. In this way the visually impaired will manage to catch the vehicle by their own ability. However the model developed aims for identify only one vehicle but can be extended to any number of systems. The FM carrier frequency used for communication between the transmitter and receiver is 89.3MHz. The maximum transmission distance for transceivers signal is roughly about 0.5 to 1 meter.

As digital imaging and computing power increasingly develop, so too does the potential to use these technologies in ophthalmology. Image processing, analysis and computer vision techniques are increasing in prominence in all fields of medical science, and are especially pertinent to modern ophthalmology, as it is heavily dependent on visually oriented signs. We describe a novel technique that utilizes the global information of the segmented vascular structure to correctly identify true vessels in a retinal image. The model segmented vascular structure as a vessel segment graph and transform the problem of identifying true vessels to that of finding an optimal forest in the graph. An objective function to score forests is designed based on directional information. Our proposed solution employs candidate generation and expert knowledge to prune the search space. Each vessel is tracked individually by repeatedly finding the next vessel point with a scoring function that considers the pixel intensity and orientation in the vicinity of the current point in the image. Bifurcations and crossovers are detected using some intensity profile. Tracking for the same vessel then continues along the most likely path. The importance of our proposed work disambiguate between vessels at bifurcations and crossovers, we need to figure out if linking a vessel segment to one vessel will lead to an adjacent vessel being wrongly identified .

A real time data acquisition system for load monitoring using human machine interface is presented. The design proposes a real time data acquisition whose parametric values are monitored and recorded for analysis purposes in a typical power system set-up. The parametric measurements includes the load voltage, load current, active power, reactive power, apparent power, power factor and line current. A perfect interface design is developed using graphical system design software. The recorded data is highly helpful in power monitoring and analysis for performance evaluation. The design gets complete with a manual supervisory control based on the data acquired through the interface module.

Retinal image having very vital information. It plays important roles in finding of some diseases in early stages, such as diabetes, and cardiovascular disease. In this proposed system a new algorithm used to detect the blood vessels effectively from the retinal image. The initial image enhancement is carried out by using Adaptive Histogram Equalization, followed by the curvelet Transforms are applied to the equalized image and the curvelet coefficients are obtained. The modifications to the Curvelet transform coefficients are carried out by suppressing all the coefficients of one band. This combined effect of the equalization and the Curvelet Transforms provides a better enhancement to the image. This enhanced image is used for the extraction of blood vessels. Afterward, eliminate the ridges not belonging to the vessels tree by morphological operators by reconstruction while trying to preserve the thin vessels unchanged. In order to increase the efficiency of the morphological operators by reconstruction, they were applied using multi-structure elements and local adaptive thresholding method along with connected components analysis (CCA) indicates the remained ridges belonging to vessels.

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