This research paper emphasizes on the blind persons of our society. We built our paper with prototyping the features and also real life application. We mainly focus IoT in our research. Enriching our research with variety of sensors. We embellish our project with (i) GSM, the core of IoT this can detect the location of the blind person and makes necessary messages based on the values of different sensors which are transmitted to relatives of the user (ii) Utilizing multiple sensors our stick have ability to make command that can be compared as eyes of blind person (iii) also Using some indicator to prove that user is blind. This stick can find out any type of obstacles around the blind person like left, Right, Up and Down. Controlling system is very facile. Thus, any blind can have ability to operate it.
Android application provides some features to establish communication with peripheral devices. We developed android smartphone control Spy Car with live video streaming & Storing. Our developed car contains following features (i) Controlling Car via android application in four direction (ii) Live Video Streaming (iii) Rotating Camera-180 0 to 180 0 (iv) front LED control. Our developed Car controls via Bluetooth using USART protocol real time video streaming by Wi-Fi. It can be workable in search mission purpose.
Image denoising is used to improve the accuracy and quality of an image. Removing noise from the original image is still challenging for researchers. In this research, an efficient algorithm capable of removing noise from "unprocessed" or raw images is proposed. The algorithm supplants the noise by the median of averages found from a special combination of the pixels. After that, to evaluate the performance of image authors has calculated the Signal to Noise Ratio (SNR), the Mean Square Error(MSE), Root Mean Square Error (RMSE), the Root Mean Square Signal to Noise Ratio (RMS SNR), Image Fidelity (IFY). Finally, the proposed filtering technique gives a better result with comparison to other existing filtering techniques (Median, Average, Mean, etc).
The aim of this study is to create an efficient monitoring system for elderly people in society. As the number of elderly people is increasing, most of the aged people rest their lives in the old-age home. During leading their life in the old-age home, aged people face many problems who reach 58-62 or above of their age. This problem can be listed such as falling sudden illness, incapability of hearing clearly at a certain normal decibel level, unable to move anywhere without the co-operation of others. In this, we have introduced an effective solution that has ability to monitor older persons, a low-cost alarming system and so on. Those can be ameliorated to some extent. Recently, advance wearable and sensor technologies have improved the prospects of this service for caring for aged people. In this proposed project can ensure that the care of aged people by smart device services which can give voice direction to go to the desired room between many rooms and take immediate help if it's necessary though pressing a single button with the alarm system.
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