A Powered Wheel Chair Is A Mobility-aided Device For Persons With Moderate/severe Physical Disabilities Or Chronic Diseases As Well As The Elderly. In Order To Take Care For Different Disabilities, Various Kinds Of Interfaces Have Been Developed For Powered Wheelchair Control; Such As Joystick Control, Head Control And Sip-puff Control. Many People With Disabilities Do Not Have The Ability To Control Powered Wheel Chair Using The Above Mentioned Interfaces. The Proposed Model Is A Possible Alternative. In This Paper, We Use The Optical-type Eye Tracking System To Control Powered Wheel Chair. User‘s Eye Movement Are Translated To Screen Position Using The Optical Type Eye Tracking System. When User Looks At Appropriate Angle, Then Computer Input System Will Send Command To The Software Based On The Angle Of Rotation Of Pupil I.e., When User Moves His Eyes Balls Up (move Forward), Left (move Left), Right (move Right) In All Other Cases Wheel Chair Will Stop. Once The Image Has Been Processed It Moves Onto The Second Part, Our Microprocessor. The Microprocessor Will Take A USB Output From The Laptop And Convert The Signal Into Signals That Will Be Sent To The Wheelchair Wheels For Movement. Also, The Pressure And Object Detection Sensors Will Be Connected To Our Microprocessor To Provide Necessary Feedback For Proper Operation Of The Wheelchair System. The Final Part Of The Project Is The Wheelchair Itself. The Rear Wheels Will Provide Forward. The Front Two Wheels Will Be Used For Steering Left And Right. All Four Wheels Will Be Connected To Our Microprocessor That Will Send Signals To Control The Wheels And Thus The Overall Movement.
In Recent Years Appreciable Progress Has Been Made In The Field Of Face Recognition. Face Recognition System Is An Intelligent Application, Which Can Recognize Or Confirm A Man From Advanced Sources. Through The Work Of Computer Engineering Engineers, PCs Can Now Beat People In Many Face Recognition Assignments, Especially Those In Which Substantial Databases Of Human Faces Must Be Looked. The Easy Approach To Perceive Any Face Is By Making An Analogy With The Facial Components From The Input Picture (tested Image) In A Facial Database. A System With The Ability To Distinguish And Recognize Faces Has Numerous Potential Applications Including Crowd And Airport Surveillance, Private Security And Enhanced Human-computer Interaction. This Project Aims To Supersede Highly Priced Image Processing Boards By Putting To Use Raspberry Pi Board With ARMv7 Cortex-A7 As The Core Within Opencv Library. This Project Is Mainly Based On Image Processing By Porting The Opencv Library To The Raspberry Pi Board. The Ultimate Crucial Errand In Face Recognition Is How To Find The Most Identical Between The Tested And Training Faces.
Automation Is The Essential Need For The Present World. There Are Various Types Of Automations Like Building Automation, Industrial Automation, Home Automation, Artificial Intelligence, Etc. Smart Can Be A Potential Application Which Provides Support To Elderly Or Disabled Persons. Home Automation Is The Use And Control Of Home Appliances Remotely Or Automatically. Day By Day The Gap Between Machines And Humans Is Being Reduced. Nowadays Hand Gesture Based Home Automation Is Getting More Importance. Gesture Recognition Refers To Recognising The Motion Of The Human Parts Like Hand, Face, Etc. Most Of The Electronic Components Manufactures Focuses On The Hand Gesture Basis. In This Proposed Work MATLAB Based Algorithm Is Used. This Proposed Work Uses This Tool For The Recognition And Processing Of The Hand Gesture. The Algorithm Used For This Proposed Work Is The Object Detection Algorithm.
The Main Objective Of This System Is To Propose A System, Which Is Used For ATM Security Applications. Here Bankers Will Collect The Customer Finger Prints And IRIS While Opening The Accounts Then Customer Can Access The ATM Machine. When The Customer Enters ATM No Need To Used Atm Cards At All, Just By Keeping The Finger Print Itself The Machine Can Identify The Account And Will Show The Details. Then The Customer Need To Enter The Pin Provided To Login. Then For Each Transaction Customer To Give Iris For Example For Cash Withdrawal, Balance Enquiry Etc. This Proposal Will Go A Long Way To Solve The Problem Of Account Safety. Use Of The ATM (Automatic Teller Machine) Which Provides Customers With The Convenient Banknote Trading Is Facing A New Challenge To Carry On The Valid Identity To The Customer. Since, In Conventional Identification Methods With ATM, Criminal Cases Are Increasing Making Financial Losses To Customers. We Design A Simple Fingerprint And Iris Recognition Based Identification System Using Microcontroller. The System Uses R305 Fingerprint Scanner To Capture Fingerprints With Its DSP Processor And Optical Sensor. This System Can Be Employed At Any Application With Enhanced Security Because Of The Uniqueness Of Fingerprints. It Is Convenient Due To Its Low Power Requirement And Portability.
Automation Is The Essential Need For The Present World. There Are Various Types Of Automations Like Building Automation, Industrial Automation, Home Automation, Artificial Intelligence, Etc. Smart Can Be A Potential Application Which Provides Support To Elderly Or Disabled Persons. Home Automation Is The Use And Control Of Home Appliances Remotely Or Automatically. Day By Day The Gap Between Machines And Humans Is Being Reduced. Nowadays Hand Gesture Based Home Automation Is Getting More Importance. Gesture Recognition Refers To Recognizing The Motion Of The Human Parts Like Hand, Face, Etc. Most Of The Electronic Component Manufactures Focuses On The Hand Gesture Basis. In This Proposed Work MATLAB Based Algorithm Is Used. This Proposed Work Uses This Tool For The Recognition And Processing Of The Hand Gesture. SMS Application Will Be Used For Notification About Unauthorized Access And Intrusion. The Algorithm Used For This Proposed Work Is The Object Detection Algorithm.
Online Voting System Is A Voting System In Which The Election Data Is Recorded, Stored And Processed Primarily As Digital Information And It Needs To Address, Obtain, Mark, Deliver, And Count Ballots Via Computer. Therefore Voter Identification And Authentication Techniques Are Essential For More Secure Platform Mechanisms To Overcome Vulnerabilities Of The Client Used By The Voter To Cast Her Vote. In This System A Face Detection And Recognition System (FDR) Used As An Authentication Technique In Online Voting, Which One Of Electronic Is Voting Types, Is Proposed. Web Based Voting Allows The Voter To Vote From Any Place In State Or Out Of State. The Voter’s Image Is Captured And Passed To A Face Detection Algorithm (Eigenface Or Gabor Filter) Which Is Used To Detect His Face From The Image And Save It As The First Matching Point. The Voter’s National Identification Card RFID Is Used To Retrieve And Return His Saved Photo From The Database Of The Supreme Council Elections (SCE) Which Is Passed To The Same Detection Algorithm (Eigenface Or Gabor Filter) To Detect Face From It And Save It As Second Matching Point. The Two Matching Points Are Used By A Matching Algorithm To Check Wither They Are Identical Or Not. If The Results Of The Matching Algorithm Are Two Point Match Then Checks Wither This Person Has The Right To Vote Or Not. If He Has Right To Vote Then A Voting Form Is Presented To Him
Online Voting System Is A Voting System In Which The Election Data Is Recorded, Stored And Processed Primarily As Digital Information And It Needs To Address, Obtain, Mark, Deliver, And Count Ballots Via Computer. Therefore Voter Identification And Authentication Techniques Are Essential For More Secure Platform Mechanisms To Overcome Vulnerabilities Of The Client Used By The Voter To Cast Her Vote. In This System A Face Detection And Recognition System (FDR) Used As An Authentication Technique In Online Voting, Which One Of Electronic Is Voting Types, Is Proposed. Web Based Voting Allows The Voter To Vote From Any Place In State Or Out Of State. The Voter’s Image Is Captured And Passed To A Face Detection Algorithm (Eigenface Or Gabor Filter) Which Is Used To Detect His Face From The Image And Save It As The First Matching Point. The Voter’s National Identification Card RFID Is Used To Retrieve And Return His Saved Photo From The Database Of The Supreme Council Elections (SCE) Which Is Passed To The Same Detection Algorithm (Eigenface Or Gabor Filter) To Detect Face From It And Save It As Second Matching Point. With This The Fingerprint Recognition Field Can Be Grouped For Secured Voting System.
In This World There Are Number Of People Who Were Physically Challenged, There Are Different Technology Which Gives Physically Impaired The Ability To Move Around. But Still There Are Number Of People Who Were Fully Paralised But Only There Mind Work Properly. With The Help Of These Mind Power So Many Task Can Be Performed By These People .one Of Them Is They Can Move Around The World Using This Mind Power. To Improve The Lifestyle Of The Physically Challenged People, This Work Aims At Developing A Wheelchair System That Moves In Accordance With The Signals Obtained From The Neurons In The Brain Through The Mounted Probes On The Scalp Of The Human And Also Using MEMS. In This Paper, An Attempt To Propose A Thought Controlled Wheelchair, Which Uses The Catch Signals From The Brain And Eyes And Processes It To Control The Wheelchair. Electroencephalography Technique Display An Electrode Cap That Is Placed On The User’s Scalp For The Acquisition Of The EEG Signals Which Are Captured And Translated Into Movement Commands By The Micro Controller Which In Turn Move The Wheelchair.
Visually Impaired People Face A Number Of Challenges When Interacting With The Environments Because So Much Information Is Encoded Visually In Daily Life. One Specific Difficulty That A Blind Person Would Encounter Is To Know The Value Of The Currency Or Bill He Or She Is Holding. In This Paper, We Propose A Novel Component-based Banknote Recognition System By Using SURF Features To Achieve High Recognition Accuracy And To Handle Various Challenging Conditions In Real-world Environments. Patches With Descriptive Features For Each Banknote Category Are Selected As Reference Regions To Match With Query Images. The Proposed Algorithm Has Been Evaluated By Dataset To A Variety Of Conditions Including Occlusion, Rotation, Scaling, Cluttered Background, Illumination Change, Viewpoint Variation, And Worn Or Wrinkled Bills, And Further By Blind Subjects.
We do code in Matlab for all domains, Image Processing, Simulink Design and Power Electronics.
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