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Research Paper

Nap detection and alert system using OpenCV

In recent years driver fatigue is one of the major causes of vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver i.e. drowsiness. So it is very important to detect the drowsiness of the driver to save life and property. This project is aimed towards developing a prototype of a drowsiness detection system. This system is a real-time system which captures image continuously and measures the state of the eye according to the specified algorithm and gives a warning if required. Though there are several methods for measuring the drowsiness, this approach is completely non-intrusive which does not affect the driver in any way, hence giving the exact condition of the driver. For detection of drowsiness eye aspect ratio value of the eye is considered. So when the closure of eye exceeds a certain amount then the driver is identified to be sleepy. Corrections for drowsiness include both in and out vehicle alarms and its repetition turns the engine off after giving a signal to the vehicles behind. We are also providing security for the owner i.e., if the vehicle is driven by another person and does any kind of suspicious activities then ,not the actual person but the owner will face problems, in order to avoid the problem for the owner, when the engine starts we automatically capture the image of the driver along with date and time without knowledge of the driver. Then he can easily identify the person who is driving and the owner will be saved.

Published by: Bapathu Ramakrishna Reddy, Bitragunta Lakshmi Durga Pratyusha, Chakicherla Bala Sai Vagdevi, Annapureddy Venkata Ajaya Kumar Reddy, Ajay Rahul Hari

Author: Bapathu Ramakrishna Reddy

Paper ID: V5I2-1769

Paper Status: published

Published: April 6, 2019

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Research Paper

Disease detection using image processing

Malaria is a life-threatening disease which is caused by a Plasmodium parasite which is transmitted by infected mosquito’s bite. Similarly, Dengue fever is a very painful mosquito-borne disease caused by the dengue virus. Manual Detection of both of the diseases takes too much time and tropical and sub-tropical areas are experiencing these diseases at the high level and due to detection taking too long an automated system for detection of these diseases has become a need which consumes less time and cost. There are existing techniques for prediction of malaria using neural networks, multi-layer perceptron. Based on the survey in this paper we propose a system for prediction of malaria and dengue using image processing concepts such as segmentation techniques and morphological operations such as flood fill. In many laboratories, the blood cell count is done manually and needs to be done by an expert. This project uses a digital camera which works with a traditional microscope where the camera provides microscopic images to the computer. The proposed hardware is cost-efficient.

Published by: Naresh Mali, Shreya Nalawade, Saurabh Singh, Shweta Babar, Swapnil Shinde

Author: Naresh Mali

Paper ID: V5I2-1784

Paper Status: published

Published: April 6, 2019

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Others

SBT to assess the impact of BDA on customer’s online behaviour

With the rise of social network sites, almost every person has a profile. This profile contains various likes and dislikes about various items. It also contains their valence about other users on the network. In this paper a cloud-based recommendation engine is proposed which provides recommendations about various products given that a user likes a product X taking the balance theory of likes and dislikes over the network. This project can be used to provide personalized recommendations for advertisements or can be used by the user to explore other potential items that he may be interested in.

Published by: D. Madhu, Dr. T. Hanumantha Reddy

Author: D. Madhu

Paper ID: V5I2-1749

Paper Status: published

Published: April 6, 2019

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Research Paper

Dominating electrons,causes of earth’s magnetic field

The inner core of the earth is made of molten iron due to the extreme heat the electrons have been removed from their higher orbit and ionized. Ionization is the remove (or) escaping of electrons of the atoms from their orbit. The electrons thus ionized rising, flee towards the surface of the earth from south pole to the North pole distinctly paths on the Earth's surface and stirs the electrons in the higher orbit of the atoms of Soiled, Oceans and atmosphere causing a great magnetic field. Those stirred electrons which cause the magnetic field are called Dominating Electrons.

Published by: Einstein Kannan

Author: Einstein Kannan

Paper ID: V5I2-1485

Paper Status: published

Published: April 6, 2019

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Review Paper

Raid hailing services guardian system

While cabs have become the new idea of public transport, the increase in cab users has also given way to more crime. In cases of harassment of female passengers traveling alone in cabs in the cities has reported where the victims have been unable to escape due to locked rear doors using Child lock. This feature is indeed dangerous at the time of any disaster or emergency. The paper aims at providing passenger security in public transportation vehicles (/cabs) by providing child lock control to the passenger and also generating reliable driver profile to ensure the safe journey. The Driver profile is cumulative with respect to the passenger feedback and behavioral analysis of driver. The behavior analysis parameters such as alcohol consumption and sudden change in velocity, direction, abrupt brakes, are detected using suitable sensors. The profile would be generated using Cognitive Agents which provides reliability to the system.

Published by: Seema B. Hegde, Vinay Kumar G., Srinidhi Patil, Subrahmanya M.

Author: Seema B. Hegde

Paper ID: V5I2-1703

Paper Status: published

Published: April 6, 2019

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Research Paper

Aquaculture monitoring and control system: An IoT based approach

Internet of things(IoT) is one of the rapidly developing fields for giving social and financial points of interest for rising and creating an economy of the nation. Presently IoT field is flourishing in areas like medical, agriculture, transportation, training, etc. This is of most importance because of aquaculture is a backward region of applied science. contrasted with other zones like agriculture, consequently, it’s essential to determine the issues that are in this area with the assistance of technology. Water quality might be a basic issue, it mainly depends upon numerous parameters like dissolved oxygen, carbonates, turbidity, ammonia, nitrates, salt, pH, temperature, etc. The proposed system continuously monitors the water quality parameter using sensors, the detected information is conveyed to the aqua-farmer mobile via the cloud. accordingly, actions will be taken in time to reduce the losses and improve productivity. Among the issues, the slow latent period within the care of water quality, and therefore the wastage of resources like water, in cultivation are the necessary problems has to be addressed. The proposed system monitor the aquarium and uses the waste water from the aquarium to grow the plants, in turn, the pH and ammonia neutralized water from hydrogen clay pellets in grow bed is fed back to the aquarium.

Published by: Preetham K., Mallikarjun B. C., K. Umesha, Mahesh F. M., Neethan S.

Author: Preetham K.

Paper ID: V5I2-1706

Paper Status: published

Published: April 6, 2019

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