Introduction to Smart Blind

The proceedings contain 69 papers The special focus in this conference is on Communication, Circuits, and Systems The topics include: Performance Evaluation of Different Machine Learning Techniques for Detection of Non-technical Loss;An Overview with Current Advances in Industrial Internet of Things (IIoT);video Indexing Through Human Face;acquisition and Analysis of Skin Impedance in Parkinson’s Disease;automation of Soil Nutrient Measurement System and Irrigation Control;performance Evaluation of Perovskite Solar Cells at Elevated Temperatures;Implementation of Transfer Learning Technique for the Detection of COVID-19;blockchain Enabled and Changeable Threshold-Based Group Specific Multiple Keys’ Negotiation;speech to Sign Language Conversion Using Neuro Fuzzy Classifier;implementation of Low-Cost and Low-Power-Based Temperature and Air Quality Monitoring System for a Local Area in Odisha;design and Development of an Ultra-wideband Millimetre-Wave Antenna for Short-Range High-Speed Communication;A Comparative Analysis of BTC Variants;Crosstalk Noise Reduction in Long Wire Interconnects Using MTCMOS Inverters;GPS and GSM Enabled Smart Blind Stick;Prediction of Speed for Smart Insulin Pump Utilizing Adaptive Neuro-fuzzy Inference System and ANN;Curvelet Transform and ISODATA Thresholding for Retinal Vessel Extraction;Design a T-Shape Cantilever Beam Using by Scilab and COMSOL;Design and Analysis of PZT-Based Piezoelectric Speakers;drowsiness and Yawn Detection System Using Python;intelligent Analysis of X-Ray Images for Detecting Bone Abnormality in Upper Extremities;Comparison Between LSTM and RNN Algorithm for Speech-to-Speech Translator;Swarm Optimization of Multiple UAV’s for Resource Allocation in Humanitarian Aid and Disaster Relief Operations;hardware Design of a Turbo Product Code Decoder;multiple Object Detection and Tracking Using Deep Learning.

The main contributions of this work are: I) design of a smart home controller’s architecture; II) end-to-end implementation of a smart home controller and respective guidelines; III) open-source dataset of user behavior from the smart blinds scenario; IV) comparison between Online and Offline Learning approaches.

As we know that sense of vision to human being is an important thing in our life, but there is some people who have lack of mobility because of blindness The objective of this project is used to help the blind people and they are able to easily interact with the physical world by using this smart blind stick.

This paper reflects an architectural design of smart blind assistant using the mechanism of deep learning embedded with IoT.

Smart Blind Stick is an interactive device which mainly aims at helping the blind to navigate easily and in a safer manner.

The smart blind navigation is fill gap, providing accurate and contextually rich information about the environment around the user current location, and simplifying the navigation and increasing the overall accuracy of the System.

The Smart Blind Stick that we build can support the blind community by providing a much better and simpler way of life by moving independently.

This will take the form of smart blinds, lights, door locks, zone controlling HVAC vents, and a motion flag to simulate human activity[1].

In this paper, we present a smart blind cane design that helps the visually-impaired users cope with their daily tasks and make their lives easier.

This work proposes a low-cost ultrasonic smart blind stick for blind people so that they can move from one place to another in an easy, safe and independent manner.