iosr-JCE   Conference on Recent Trends in Computer Engineering (CRTCE -2018)

Abstract: The automotive industry is a very traditional industry. But over the past decade the automobile industry is buzzing with advancements from electric cars to vehicle to vehicle connectivity to self driving cars. Customers want a luxurious driving experience and no longer see the car just as mode of travel. And with this growth there is a need to change. As the number of cars on the roads increases, the automotive manufacturers must simplify and shorten the product development process. One model which is heavily used in the software industry is the agile model. This paper focuses on the challenges the automotive industry currently faces and reviews the applicability of agility with respect to automotive industry ie. Agile Project Management, Agile Product development and Agile Supply Chain design.

Keywords - Automotive,Agile Project Management,Agile Supply Chain,Agile Product Development,3-D printers

[1] https://www.forbes.com/sites/stevedenning/2012/09/24/how-manufacturing-can-learn-from-software-to-becomeagile/#
52107466bd6b [Last Accessed 11/12/2017]
[2] H. Schleich, J. Schaffer, L. F. Scavarda, "Managing complexity in automotive production", 19th International Conference on
Production Research
[3] Ing. Dušan Sabadka," Impacts of Shortening Product Life Cycle In The Automotive Industry", Grant project VEGA no. 1/0102/11
[4] Milos Jovanovic, Bojan Lalic, Antònia Mas, Antoni Lluís Mesquida,"The Agile approach in industrial and software engineering
project management", Journal of Applied Engineering Science 13(2015)4,331
[5] Aljaž Stare,"Agile Project Management in Product Development Projects", Procedia-Social and Behaviorial Sciences
119(2014)295–304..

Abstract: The main idea of our project is to build up a new system of banking and to overthrow the old system of using OTP's and instead use an inventive secure authentication method which utilizes a QR code; System which uses two way authentication by using a random number and registered IMEI number, acting as a token of authentication. As the information stored in the QR code is in encrypted format it is secured. QR code is scanned with the help of scanner in smartphone. The result generated by scanning a QR code is a combination of a random number which is generated by random number function and IMEI number registered by the user. If there is internet connectivity in the smartphone, the generated string is automatically entered in the login page and is redirected to the home screen of the banking page. If there is no.........
Keywords: QR code, IMEI number, authentication, AES algorithm, registration, encryption

[1] Snehal.Kalbhor,Ashwini.Mangulkar,Mrs.SnehalKulkarni"Android App for Local Railway Ticketing Using GPS Validation".International Journal of Emerging Trends in Science and Tech.,IJETST-Vol-01,Issue-01,Mar-2014,Pages71-74.
[2] Fu-HauHsu,Min-HaoWu,Shiuh-JengWANG,"Dual-watermarking by QR-code Applications in Image Processin".9th International Conference on Ubiquitous Intelligence and Autonomic and TrustedComputing,DOI10.1109,2012,Pages 638-643.
[3] Mrs.ShantaSondur, Ms.TanushreeBhattacharjee "QR-Decoder and Mobile Payment System for Feature Phone", VESIT,International Technological Conference(I-TechCON)-Jan.03(2014),Pages13-15.
[4] SomdipDey, B. JoyshreeNath and C. AsokeNath "OTP Encryption Techniques in Mobiles for Authentication and Transaction Security" Institute of Information Systems Argentinierstrasse -2009.
[5] Dr.A.P.Adsul,GayatriKumbhar VrundaChincholkar, YogeshKamble, AnujaBankar "Automated Exam Process using QR Code Technology" International Journal of Application or Innovation in Engineering &Management,(IJAIEM)-ISSN 319-
4847,Vol.3,Issue 4,April- 2014,Pages-296-298.

Abstract:In the late 1990s e-commerce revolution had struck the retail market and the retailers who had then migrated from their traditional systems to e-commerce know the potential of disruptive revolutionizing technologies. Given its wide range of potential applications and required changes at infrastructure level, blockchain being a shared ledger where all financial transactions are recorded, eliminating the errors that can occur when each member participating in a transaction maintains its own data set for the transaction acts as the perfect lubricant and catalyst between trusted as well as untrusted entities in a business.

Keywords- Blockchain, Bitcoin, Cryptocurrency, Retail, Hash, Loyalty, Hash, Transparency

[1] https://www.sc.com/fightingfinancialcrime/av/SCB_Fighting_Financial_Crime_Deep_dive_Blockchain_August_2017.pdf
[2] Blockchain and its Scope in Retail (IRJET) - Arijit Chakrabarti1, Ashesh Kumar Chaudhur
[3] Bitcoin: A Peer-to-Peer Electronic Cash System - Satoshi Nakamoto

[4] Retail: Opening the Doors to Blockchain – Cognizant
[5] https://cointelegraph.com/news/camelgram-to-develop-blockchain-based-point-of-sale-network

Abstract:The continuous monitoring and caring patient's condition is an important area of research in the field of Biomedical. These required multi-parameters system for continuous sensing processing and displaying the condition of the patients. Pregnancy brings many changes in a woman's body. Including pulse rate, which increases during pregnancy. A pulse rate is different for every woman, and is based on level of fitness before pregnancy and age. Doctor will monitor pulse rate throughout the pregnancy, and recommendations to care accordingly. The objective of this paper is to design a non-invasive Arduino based optical pulse oximetry .The pulse oximetry consists of a fingertip sensor and an Arduino microcontroller. In it Photo transistor sensor is used for the pulse wave's detection and the Arduino microcontroller is used to analyze the pulse wave to calculate the oxygen saturation (sao2).The pulse oximetry uses the Arduino as a microcontroller.

Keywords: Pulse rate, Pulse oximetry, Arduino microcontroller, Phototransistor.

[1] Bronzino S and Joseph D.IEEE Biomedical engineering hand book.CRC press, IEEE Press 1995, 0-8493-8346- 3.J.ClerkMaxwell,ATreatiseonElectricityandMagnetism,3rded.,vol.2.Oxford:Clarendon,1892,pp.68–73.
[2] John w. Severinghaus, MD, ―Takuo Aoyagi: Discovery of pulse oximetry‖. Anesthesia and Analgesia, vol.105 no.65 supp/s1-s4
2007K.Elissa, ―Titleofpaperifknown,‖ unpublished.
[3] Brinkman,R and W.G.Zijlstra, ―Determination and continuous Registration of the percentage oxygen saturation in clinical conditions‖, Archivumchirurgicum Neerlandicum,Vol.1,pp,177-183,sep 2003..

[4] Santiago L. (2012) pulse oximeter fundamentals and design, free scale semiconductor Document Number: AN4327.
[5] Hoff.D.Zhang,R.Stalter,T and carlson,M (2003).Pulse oximetry .Undergraduate Thesis Electrical and Computer Engineering, North
Carolina State University, USA...

Abstract:Detection of learning centered affect is an important element in developing intelligent educational interfaces that are capable of responding to the affective needs of students. There exists an inseparable link between emotions and cognition and the field of Affective Computing (AC) aspires to narrow the communicative gap between human beings and computers. This is achieved by developing computational systems that recognize and respond to the affective states of the user. Learning centered affective states include Boredom, Confusion, Delight, Engagement and Frustration. This paper uses the Local binary patterns (LBP) ans a feature extraction algorithm and PCA for dimentionality reduction to detect confusion. This algorithm is applied to the full face as well as Lip and eye...............

[1] B.Wolf, Burleson, Arroyo, Dragon, Cooper and Picard. "Affect aware tutors: Recognising and responding to student affect".International journal of Learning technology,4(3/4):129-164, 2009
[2] Gong Chao ; Beijing Inst. of Technol., Beijing, China. "Human-computer interaction: The usability test methods and design principles in the human-computer interface design." Aug. 2009 283 – 285.
[3] Sangeeta Kakoty, Monohar Lal, Shikhar Kr. Sarma "E-learning as a Research Area: An Analytical Approach", International Journal of Advanced Computer Science and Applications, Vol. 2, No. 9, 2011.
[4] Yichuan Tang," Deep learning using Linear support Vector Machines, Cornell University Library, arXiv:1306.0239v4
[5] Prudhvi Raj Dachapally, "Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units", Cornell University Library arXiv:1706.01509.

Abstract: The project is all about Web Application security. The main aim of this project is to make your Web application more difficult to hack. Several vendors opt for Cloud based website hosting nowadays, as it is very trustworthy, easily scalable and reasonable hosting solution than traditional website hosting in various aspects. Many people wrongly assumed that hiring a smart developer or deploying commercial security product will magically make their site hacker proof. So, we will be implementing a virtual image of system implemented by top security features. The expected outcome of this Project will be Self-Configurable Virtual Machine Image which will be used by an enterprise to protect......

Keywords:About Distributed Denial of service (DDOS), Domain Name System (DNS), Hypertext Transfer Protocol (HTTP), Kernel Virtual Machine (KVM), Open Web Application Security Project (OWASP), Reverse proxy, Virtual Machine (VM).

[1] Ryan c. Barnett, "Web Application Defender's cookbook: Battling hackers and protecting users" Published by john Wiley & sons
Inc., 2013.
[2] mod_evasive https://www.digitalocean.com/community/tutorials/how-to-protect-against-dos-and-ddos-with-mod_evasive-forapache-
on-centos-7 aws php documentation, https://aws.amazon.com/blogs/developer/provision-an-amazon-ec2-instance-with-php/
[3] Reverse Proxy with mod_proxy on CentOS 7, https://www.digitalocean.com/community/tutorials/how-to-use-apache-as-a-reverseproxy-
with- mod_proxy-on-centos-7 BugTraq, http://www.securityfocus.com/archive/1
[4] Auger, R., Barnett, R.: Web Application Security Consortium: Threat Classification Version 1.0. Web Application Security Consortium (2004), http://www.webappsec.org
[5] The Open Web Application Security Project (OWASP) considers, in its 2016 top ten list. Available: https: / /www.owasp.org/index.php/ToPI02016 – TOP 1O..

Abstract: The Internet of Things (IoT) is a new wave of Internet that is expected to transform our lives. Internet has connected people and now it is connecting 'Things' to make seamless communication and intelligence pooling. IoT is a disruptive technology that has tremendous potential to change the world and is changing the way we live. It uses low cost Internet connected devices and sensors that create new possibilities. Not long ago, the idea of IoT in the automotive sector was being seen as a futuristic theoretical concept and today we are already seeing possibilities of connected cars, driverless cars and application of IoT in the car ecosystem covering parking, environment, supply chain and transport governing bodies. This paper discusses the evolution and developments on Internet of Things with regard to the automotive sector to provide a perspective on the various areas such as- Connected Car services/applications, Vehicle communications, IoT in Intelligent Transportation, IoT based Supply Chain Management in Automotive Industry and New Generation Cars, where tangible progress is being made..

Keywords— Automotive Industry, Connected Cars, Internet of Things (IoT).

[1] White paper – "Digital disruption and the future of the automotive industry"- IBM Center for Applied Insights, Dirk Wollschlaeger,
Mike Foden, Richard Cave and Matthew Stent,September 2015.
[2] Whitepaper- "Transforming the Automotive industry with Connected Cars – An Internet of Things Perspective",IGATE Global
Soloution, Madhusudhan Reddy Nukala, Shreyas Bhargave, Bipin Patwardhan, April 2014.
[3] Connected Cars – Future of Automobiles, by Manisha Salecha. Article in IoT India Magazine, July 20, 2016.
[4] S.P. Bhumkar, V.V. Deotare, R.V.Babar, "Accident Avoidance and Detection on Highways", International Journal of Engineering
Trends and Technology- Volume3Issue2- 2012.
[5] Anita Kulkarni, T. Ravi Teja, "Automated System for Air Pollution Detection and Control in Vehicles", International Journal of
Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 3, Issue 9, September 2014.

Abstract:The management of allowances in Western Railways is a common and critical operation, as it has an effect on the payment of salaries of employees. Currently, the manual calculation of allowances is too complex and takes a lot of time efforts. If these processes are automated, it would be of great benefit as it would require less amount of time to calculate the salary of the employees. So, a mobile application that has a system to facilitate the above cause is considered as a solution here. We are going to digitize an existing system of periodic calculation of Travel Allowance and Overtime Allowance, which currently involves considerable amount of paperwork. This existing methodology consumes an incredibly huge amount of time, considering the verification procedures and transportation of the voucher forms from the various railway stations to the Western Railway Headquarters and vice versa. The proposed application will be capable to automatically calculate the allowances according to the inputs fed in by the employees, thereby simplifying the existing system and reducing the time consumed..

Keywords - Android Application, Overtime Allowance, Travel Allowance

[1] Poonamdeep Kaur, Dr. Dinesh Grover (2012) "Computer Based Payroll System Implementation for E-Governance at Punjab"
Agricultural University, Department of Computer Science.
[2] Arjun V. Singh, Siddesh V. Chaphekar, Yogesh S. Sawant (2016) "Automated Payroll System" University of Mumbai, Department
of Computer Science.
[3] Kritika Mahajan, Shilpa Shukla, Nitasha Soni (2015) "A Review of Computerized Payroll System" University of Lingaya,
Department of Computer Science.
[4] Manish Singh, Prachi Singh, Rohil Singh, Shubham Singh, Shiwani Gupta (2017), "Leave and Payroll Management System",
University of Mumbai, Department of Computer Science.
[5] Railway Establishment Rules http://www.indianrailways.gov.in/railwayboard/uploads/directorate/establishment/estmanualmain.jsp

Abstract: there has been an exponential growth in population over the past decade. This population growth has led to an increase in energy consumption, mainly fossil fuels and electricity. The electricity consumption has increased with the same proportion. With the rise in demand the cost of electricity has gone up considerably. This is due to lack of energy management. People are unable to manage their electricity consumption due to the lack of information available to them. In all buildings and independent houses the electricity consumption is measured by an electricity meter in the meter room, the meter is read once a month by the electric company that provides the power. The consumer is unbeknownst to the meter reading until it shows up on the bill. Most of the wastage of electricity is due to negligence by consumers. Machines those remain active even after use is complete. The inability to control appliances and............

Keywords:Population growth; Energy management; Raspberry Pi; Mobility; Electronic appliances; Smart Home Automation; Web application; Android application.

[1] Baris Yuksekkaya, A. Alper Kayalar, M. Bilgehan Tosun, M. Kaan Ozcan, and Ali Ziya Alkar "A GSM, Internet and Speech
Controlled Wireless Interactive Home Automation System", 2006, IEEE Transactions on Consumer Electronics, Vol. 52(3) , pp.
837 - 843.
[2] Rozita Teymourzadeh,Salah Addin Ahmed,Kok Wai Chan and Mok Vee Hoong , "Smart GSM Based Home Automation System",
2013, IEEE Conference on Systems, Process & Control, Kuala Lumpur, Malaysia.
[3] Vinay Sagar K N, Kusuma S M, "Home Automation Using Internet OF things", International Research Journal of Engineering and
Technology (IRJET), Volume: 2, Issue:03 June -2015, pp 1965 - 1970.
[4] Ahmed Elshafee, Karim AlaaHamed, "Design and Implementation of a Wi-Fi based Home Automation System", International
Journal of Computer, Electrical Automation,Control and Information Engineering Vol:6,No:8,2012,pp 1074 - 1080.
[5] Shaijupaul, Ashlin Anthony, Aswathy B, ''Android based Home Automation Using Raspberry Pi, IJCAT - International Journal of
Computing and Technology, Volume 1,Issue 1, February 2014, pp 143 - 147..

Abstract: Color Blindness Is A Result Of Absence Or Fault In One Of The 3 Cones In The Human Eye Or It Is Hereditary, Because Of This Deficiency The Color-Blind Users Also Called As Color Vision Deficient(CVD) Face Many Problem In Day To Day Life Like They Cannot Understand Traffic Signal, Road Maps Consisting Of Various Colors, Electrical Wires Etc. Since Now Everything Is Almost Digital And The Information Is Exchanged Through The Digital Media A Lot, The CVD Are Less Fortunate To Understand This Information. The RGB To LMS Algorithm Is Used To Recolor Those Pixels In Images And Videos Which Are Unperceivable To The Users. After Recoloring They Will Be Able To Distinguish The Colors And It Will Be More Understandable. We Have Focused On The Protanopia (Dichromacy) I.E. Red Green Color Deficiency. It Is Fast And It Maintains Color Consistency Among Frames.

Keywords – CB (Color Blind), CBP (Color Blindperceivable), CBU (Color Blind Unperceivable), Color Vision Deficiency (CVD),Long Medium Short(LMS).

[1] Deepti S. Khurge, Bhagyashree Peshwani, "Modifying Image Appearance To Improve Information Content For Color Blind Viewers," Published In IEEE 2015. Hideaki Orii, Hiroshi Maeda, Hideaki Kawano, And Takaharu, " Color Conversion Algorithm For Color Blindness Using Self-Organizing Map," In IEEE 2014.
[2] Behzad Sajadi, Manuel M. Oliveira, Ramesh Raskar, Aditi Majumder, And Rosa´ Lia G. Schneider, "Using Patterns To Encode Color Information For Dichromats," Published In IEEE Transactions On Visualization And Computer Graphics, Vol. 19, No. 1, January 2013.
[3] Jae-Yun Jeong, Yeo-Jin Yoon, Hyun-Ji Kim, Young-Hyun Kim, And Sung-Jea Ko, "Color Modification For Color-Blind Viewers Using The Dynamic Color Transformation," Published In 2012 IEEE International Conference.
[4] Jae-Yun Jeong, Tae-Shick Wang, Hyun-Ji Kim, Sung-Jea Ko And Yeo-Jin Yoon, "An Efficient Re-Coloring Method With Information Preserving For The Color-Blind" Published In IEEE 2011.
[5] C. Anagnostopoulos, G. T Sekouras, And C. Kalloniatis, I. Anagnostopoulos, "Intelligent Modification For The Daltonization Process Of Digitized Paintings, "Published In International Conference On Computer Vision Systems, 2007.

Abstract: Artificial Intelligence Has Steadily Been Gaining Popularity And The Attention Of Scientists And Engineers In The Past Few Decades.AI Was Built Using Mathematical Techniques Based On Probability And Statistics Allowing Machines To Give Their Best Guess For Any Solution. However, Emotional Incorporation In AI Still Remains Vastly Uncharted. This Paper Is In Line With This Vision. It Puts Forth An Architectural Representation For Such An Emotionally Astute Intelligence By Discussing The Major Setbacks Faced While Creating A Computational Model For Emotions. It Does So By Describing The Various Ways In Which Emotions Are Mapped Artificially As Well As By Describing Biologically Inspired Predictive Models That Learn From These Mappings To Generate Vectors That Allow For Accurate Predictions. Apart From This Citations Have Been Made To Animal Cognition For Prosodic Nuances Of Speech Which May Result In Higher Sophistication Of Existing Systems To Detect Emotions..

Keywords:-Artificial Intelligence,Canine Neurology,Cognition,Emotional Intelligence,Limbic Brain.

[1] Rosalind W. Picard, Elias Vyzas And Jennifer Healey, "Toward Machines With Emotional Intelligence", IEEE Transactions On
Pattern Analysis And Machine Intelligence, Volume-23, Issue-10, October 2001.
[2] Tanushree, Shilpa Yadav, And Yashika Arora, "Limbic-Based Artificial Emotional Neural Networks", International Journal Of
Research (IJR) Vol-1, Issue-9, October 2014.
[3] Chungk Lee, SK Yoo, Yoonj Park, Namhyun Kim,Keesam Jeong, And Byungchae Lee, "Using Neural Network To Recognize
Human Emotions From Heart Rate Variability And Skin Resistance", IEEE,Shanghai,China, 2005.
[4] Meysam Asgari, Izhak Shafran, And Lisa B. Sheeber, "Inferring Clinical Depression From Speech And Spoken Utterances", IEEE,
REIMS, FRANCE, 2014.
[5] Jan More ́N And Christian Balkenius,"A Computational Model Of Emotional Learning In The Amygdala"..

Abstract:Credit Societies Are Small Establishments That Are Similar To Banks But For A Restricted Range Of Users. These Societies Need A Standard Platform For Maintaining Their Data And Transactions. The Aim Is To Create A Cloud-Based System For The Credit Societies Such That They Will Have A Core Banking Application Which Can Connect Them With Other Small Financial Establishments. The Development Of The Project Is Relevant To Agile Methodology. The Software Will Offer High-Level Security And Will Be Mobile And Cheap..

Keywords: Core Banking, Cloud-Based System, Cloud-Computing, Credit Society, Indian-Client Base

[1] Present Credit Banking System Software Implemented On Individual Systems.
[2] Laravel 5.3 Official Documentation
[3] Dr. Sheel Ghule, Ms. Rupali Chikhale, Mr. Kalpesh Parmar, "Cloud Computing In Banking Services", International Journal Of Scientific And Research Publications, Volume 4, Issue 6, June 2014 1 Issn 2250-3153
[4] Chitrali Agre,"Implementation Of A Cloud In Banking Sector", International Journal Of Computer Science And Information Technology Research, Issn 2348-120x
[5] Dr. Ard Prasad,"Creation Of Digital Libraries In Indian Languages Using Unicode", Workshop On Digital Libraries: Theory And Practice, March 2003, Drtc, Bangalore.

Abstract:Surveillance devices capture a lot of information but still it requires a human to interpret data. This wastes a lot of potential usage of the valuable data collected. If instead, there is a solution which reduces the human effort required in the process, the efficiency and the utilization of the surveillance system will increase. The main idea behind this is to deploy an application server on AWS cloud which will be connected to a Mobile Application which will be working as a surveillance device. Due to the use of AWS Cloud, the backend costs would be reduced by a significant level. To reduce the development time, face recognition libraries will be used. This system can be used for various applications such as office premises, educational institutions, or other premises.

Keywords: AWS, Cloud, Face recognition, Surveillance, Serverless, Server-based

[1] JINESH VARIA, "ARCHITECTING FOR THE CLOUD: BEST PRACTICES", AMAZON WEB SERVICES WHITE PAPER JAN 2011.
[2] Khan R.Z., Ahmad M.O. (2016) Load Balancing Challenges in Cloud Computing: A Survey. In: Lobiyal D., Mohapatra D., Nagar A., Sahoo M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in
Electrical Engineering, vol 396. Springer, New Delhi
[3] Kevin Hamlen, Murat Kantarcioglu, Latifur Khan, Bhavani Thuriaisingham," Security Issues for Cloud Computing", International Journal of Information Security and Privacy, 4(2), 39-51, April-June 2010.
[4] Shang-Hung Lin," An Introduction to Face Recognition Technology", Informing science special issue on multimedia informing technologies-part 2 volume 3 no 1-2000.
[5] Monjur Ahmed and Mohammad Ashraf Hossain," CLOUD COMPUTING AND SECURITY ISSUES IN THE CLOUD", International Journal of Network Security & Its Applications (IJNSA), Vol.6, No.1, January 2014.

Abstract:One Of The Problems That We Faced In Radio Frequency Identification (RFID) System Is That The Collision Between Tags Which Lowers The Efficiency Of The RFID Systems. Enhanced Dynamic Framed Slotted ALOHA (EDFSA) Is One Of The Existing Anti Collision Protocol Which Estimates The Number Of Unread Tags First And Adjusts The Frame Size To Give The Optimal System Efficiency. But The Initial Frame Length Selected Is Not Optimum Since The Construction Of Current Frame Depends On The Previous Frames. Hence To Rectify The Above-Mentioned Issue Bayesian Estimation In Enhanced Dynamic Framed Slotted ALOHA (BEDFSA) Algorithm Using Grey Wolf Optimization (GWO) Is Proposed. Here Optimal Frame Length Is Selected Using GWO Algorithm And Hence Tag Collision Is Rectified By Automatic Updating Of The Probability Distribution Of The Tag Number On The Basis Of Empty, Success And Collision Slots. The Experimental Results Show That The Suggested Anti Collision Method Attains Maximum Throughput Value When Compared To The Existing Techniques.

Keywords: RFID Tag, Tag Identification, Tag Collision, BEDFSA, GWO.

[1] Mian Hammad Nazir And Nathirulla Sheriff, "Dynamic Grouping Frame-Slotted Aloha", International Journal Of Computer
Applications, Vol.37, No.4, Pp. 1-5, Jan 2012.
[2] MAJID ALOTAIBI, ADAM POSTULA, And MARIUS PORTMANN, "Tag Anti-Collision Algorithms In RFID Systems - A New
Trend", WSEAS Transactions On Communications, Vol.8, Issue.12, Pp. 1216-1232, Dec 2009.
[3] Linpeng Hai, Rui Wang, And Liying Xiao, "A Novel RFID Anti-Collision Algorithm Based On Binary Tree", International Jouranl
Of Networks, Vol.8, No.12, Pp. 2885-2892, Dec 2013.
[4] Usama S. MOHAMMED And Mostafa SALAH, "Tag Anti-Collision Algorithm For RFID Systems With Minimum Overhead
Information In The Identification Process", International Journal Of Radio Engineering, Vol.20, No.1, Pp. 61-68, Apr 2011.
[5] Sobia Arshad, Syed Muhammad Anwar, Mian Hammad Nazir And Shumaila Khan, "Dynamic Frame Sizing With Grouping Slotted
Aloha For UHF RFID Networks", International Journal Of Computer Applications, Vol.61, No.18, Pp. 28-33, Jan 2013

Abstract: The Proposed Paper Describes How Efficiently A Non-Intrusive Computer Vision Based Concept Be Used For Detecting Drowsiness Of The Driver. A System Will Be Developed Which Aims To Improve The Road Safety Using Advanced Technology. The Proposed System Will Use A Basic Web-Cam Interfaced With Raspberry-Pi That Points Directly Towards The Driver's Face And Monitors The Driver's Eyes And Face In Order To Detect Fatigue. If Symptoms Of Fatigue Such As Closed Eyes Or Head Lowering Occurs A Warning Signal Is Issued To Alert The Driver. The Product Prototype Proposed Is Unique To The Road Safety Purpose. It Uses The Concept Of Image Processing. Open-Cv Will Be Integrated With The Python And Deployed On Raspberry-Pi. Harr Classifier Algorithm Used Will Help To Determine If The Eyes Are Open Or Closed. The Algorithm Developed Is Unique To Any Currently Published Papers In Terms Of Its Application With Raspberry Pi, The Primary Objective Of The.......

Keywords:Non-Intrusive, Face Detection, Eye Detection, Image Binarization, Harr Classifier And Drowsy Detection

[1]. U.S. Dept. Of Transportation, "Traffic Safety Facts 2006: A Compilation Of Motor Vehicle Crash Data
[2]. From The Fatality Analysis Reporting System And The General Estimates System," Tech. Report Dot-Hs 810 818, Nat'l Highway
Traffic Safety Administration, 2006.
[3]. Http://Www.Lboro.Ac.Uk/Departments/Ssehs/Research/Be Ha Via Rural-Medicine/Sleep-Research-Centre/
[4]. Y. Liang, "Detecting Driver Distraction," Ph. D Thesis, University Of Iowa, 2009.
[5]. M. Baly, B. Fildes, M. Regan, And K. Young, "Review Of Crash Effectiveness Of Intelligent Transport System," Traffic Accident
Causation In Europe (Trace), 2007..