License plate detection and string conversion using Haar-like cascade classifier
This paper presents a core module for intelligent transportation based on the method Haar-like cascade classifier for high accuracy license plate detection. Many real-time car license plate detection is reasonable and effective only under certain conditions and assumptions. Therefore a real-time method Haar-like cascade and Tesseract search for Optical Character Recognition (OCR) has been proposed. Using accurate prediction and fast analysis strategy our proposed system can constructively out pass the problems in real-time scenarios. After binge analyzing the system with various inputs to establish that the proposed system is superior to the existing systems in terms of accuracy and time consumption.
Published by: Ashwin B., T. Goutham, P. Kalpana
Author: Ashwin B.
Paper ID: V5I2-1175
Paper Status: published
Published: March 13, 2019
Walking stick with heart attack detection
The Walking Stick with Heart Attack Detection is equipment that is used daily to indicate a heart condition, to detect heart attack and to call for emergency help. It was designed specially to help senior citizens and patients with heart disease. It consists of three basic sub-projects Circuit, Analysis Algorithm, and Bluetooth Communication. The first unit is worn on the user’s wrist captures abnormal heartbeat signal from the patient., and the rest two are installed in the stick. The microcontroller on the stick runs a heart attack algorithm. A warning is given out to the person about his heart condition. The Bluetooth emergency calling system calls for medical help at the moment of the heart attack. The effectiveness of the proposed method is confirmed by experiments on a commercially available walking stick. Each of the three subprojects responded positively.
Published by: Cheedella Sai Teja
Author: Cheedella Sai Teja
Paper ID: V5I2-1149
Paper Status: published
Published: March 13, 2019
Sensor design system and power adjustment of transmitter in FSO communication
The main problem related to FSO communication is atmospheric attenuation. To cope with such problem and maintain a dedicated connection, the transmitter power has to be adjusted continuously depending upon the weather condition of that particular time. Here we propose a design where we utilize the precipitation detection sensor and visibility sensor of ASOS. The weather conditions are detected using these sensors and some statistical data collected over time. Each condition provides some set of rules and equations which interlinks the power of receiver and transmitter. The transmitter if operated on such equation would yield the maximum efficiency. This results in power saving of the model. An automatic power device for FSO could be designed. In the below-discussed idea, we strictly restrict ourselves on atmospheric attenuation domain. Other factors like pointing Loss, Free space loss, Divergence loss are not taken into consideration. To take these issues into consideration, calculations have to be complex. While designing a real model, these factors would be taken as an important factor of attenuation too. Here Noise Equivalent Power and transmission power equation have been proposed which has visibility as a variable.
Published by: Diptangshu Chattopadhyay
Author: Diptangshu Chattopadhyay
Paper ID: V5I2-1257
Paper Status: published
Published: March 13, 2019
Drowsy driving warning and traffic collision information system using IoT
Driver lassitude induced drowsiness accounts for a major of road accidents. To avoid such accidents, a precautionary system is needed. The idea is to develop driver sleep detection, drunk and drive monitoring system. Digital Image Processing (DIP) technique is used to detect fatigue. Haar cascaded algorithm is used for eye detection. In this paper, a system is proposed to avoid road accidents using the alert system along with collision information system. IOT module is used to get location information and to send messages. Wi-Fi module is used to update location information in the server.
Published by: Madhan Kumar A., Kabilan M., Karthikeyan S. B., Sathiyapriya S.
Author: Madhan Kumar A.
Paper ID: V5I2-1244
Paper Status: published
Published: March 13, 2019
Patient health monitoring system
Health is one of the primary capabilities that a human need to go on with his life. That is the main reason the healthcare provided to the human must be bestowed in ample means and effective ways to ensure his health based on health monitoring parameters and the medical assistance being provided directly. The new technological development and its implementation now involve the internet and the sensors often known as the Internet of Things (IoT), which enables the worldwide approach to the health care base system development. This steers to the health system management that in a real-time approach it supplies a set of particulars relevant to the patient being monitored. In all the countries the death rates are becoming high due to the absence of well-timed medical treatments. These can be shut out through standard health care. The paper puts forward an IoT approach for a superior health monitoring system, by involving the sensors where they sense the body temperature plus the heartbeat and tells the doctor or the attending staff of the patient about the state of the patient. The project uses the KNN algorithm to predict the shape and condition of the sufferer to prevent them from going into further bad state. When the bad condition of the patient is predicted and detected by the system, it sends mail to the doctor in the most emergency situation or else in other cases it keeps on updating the sensed values in the web page created. The system also includes a buzzer beeping situation, where the beeping occurs when the nurse has to be notified of the state of the patient. Whereas, the previous systems developed did not do the predicting part, which plays the most important role in taking care of the patient. Thus, the project results in taking the greatest possible measure in helping the patients improve their situation.
Published by: Siva Priya S., Shruthi M. G., Sruthi S.
Author: Siva Priya S.
Paper ID: V5I2-1243
Paper Status: published
Published: March 12, 2019
The association between Myopia and near work activities in young adults in Durgapur, West Bengal
Myopia is one of the most prevalent refractive error that can be defined as a state in which the eye fails to see distant objects properly. Most of the young adults are affected by myopia in the world due to many factors. A few researchers showed in their research articles that near work activities lead to the progression of myopia. The main objective of this paper is to identify all the main factors of myopia in young adults in the southern region of West Bengal, especially in Durgapur. To meet this objective a sample of 2500 young adults were selected using simple random sampling procedure and examined through Snellen’s Chart and retinoscope and found 575 young adults have been suffering from various grades of myopia. In the next phase, we have identified the relevant factors of near work activities such as types of light used, time spent on near work per day, uses of the cell phone. We have analyzed the data through SPSS 16.0 software and interestingly we found some significant associations among them.
Published by: Atanu Maulik, Dr. Kavita Bhatnagar
Author: Atanu Maulik
Paper ID: V5I2-1251
Paper Status: published
Published: March 12, 2019
