Projects Based On ARM

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Projects Based On ARM

2014

Raspberry Pi

Friendly ARM

(ARM 9)

Cortex M3

ULINK 2

PROJECTS BASED ON ARM

V!vek InfoTech Darshan Tower Near Karge Petrol Bunk Sedam Road Gulbarga – 585104


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1. A PAPERLESS FAX MACHINE WITH A SINGLE TOUCH PANEL

BASE PAPER – IEEE 2008

INTRODUCTION

To eliminate the drawbacks of the conventional fax machines, this paper proposes a new

paperless fax machine equipped with a single-touch panel, replacing the scanning and the printing

units which not only take up most space but also are the most costly and vulnerable parts. In the

proposed paperless fax machine, a received fax can be displayed and, if necessary, signed directly

on the touch panel. The digital signature is then pasted onto the fax document, which can be sent

back or stored in the memory for future references. Besides, a real handwriting reconstruction is

developed to make the appearance of the digital signature close to real handwriting on the single-

touch panel.

EXISTING METHOD

Nowadays fax machines are one of the most important office equipment. This fax machine

usually sends and receives a document through a telephone line. Using fax machine (facsimile

machine) we can send documents to any point of the world as very convenient and easy. But for

sending the data to the other fax machine through it requires paper to send and receive the data. To

send the data first we need to scan the paper and then we send later at receiving side they receive

the data to view the fax and they modify the data and again the fax to them by using one more

paper. So this existing method is using more paper.

DISADVANTAGES OF EXISTING SYSTEM

In the existing method if we want to send a document we need a fax machine at the source end

as well as at the destination end, along with that we need papers then only we can receive the fax

otherwise we cannot able to receive the file. If any modifications are present in the document again

we should use fax machine as well as it requires more papers.

PROPOSED METHOD

The important feature of the our designing paperless fax machine equipped with a single-

touch panel, replacing the scanning and the printing units which not only take up most space but

also are the most costly and vulnerable parts. In the proposed paperless fax machine, a received fax

can be displayed and, if necessary, signed directly on the touch panel. The digital signature is then

pasted onto the fax document, which can be sent back or stored in the memory for future




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references. Besides, a real handwriting reconstruction is developed to make the appearance of the

digital signature close to real handwriting on the single-touch panel.

BLOCK DIAGRAM

IMPLEMENTATION

For implementing this project we are using Linux, Qt for embedded Linux.

Linux Operating System: The Linux open source operating system, or Linux OS, is a freely

distributable, cross-platform operating system based on Unix that can be installed on PCs,

laptops, net books, mobile and tablet devices, video game consoles, servers, supercomputers

and more

Qt for Embedded Linux: Qt for Embedded Linux is a C++ framework for GUI and

application development for embedded devices. It runs on a variety of processors, usually with

Embedded Linux. Qt for Embedded Linux provides the standard Qt API for embedded devices

with a lightweight window system.

ADVANTAGES

Main purpose is to reduce the effect of global warming.

It takes less physical space when bulky filing cabinets are eliminated or reduced.

In a paperless office, electronic faxes and email replace the need to print mail and ship

documents to clients, which reduces expenses.

The chances of losing important documents are lower when scanned and filed electronically,

and the documents are often easier to find in an electronic system.

The potential for misfiled paper documents is high.

APPLICATIONS

Corporate Offices, Government Offices,

Educational sectors, banking sectors, etc




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2. DESIGN OF A WIRELESS ADAPTER FOR MULTIMEDIA

PROJECTORS


SYNOPSIS:

Nowadays, Laptops, Palmtops, PDAs etc. are common equipments in any education or

business organization. They provide considerable amount of freedom to users. These devices help

current generation business and student community to cope up with their hectic schedules.

Conference rooms, where professionals sit together, discuss and share information is an inevitable

part of any business organization. Also most of the modern educational institutions have well

equipped smart class rooms. A slide projector is a basic infrastructure in such places.

Professionals/students usually come with their own laptops or some other hand held devices.

The normal projectors require a cable connection with the computer. This restricts the

number of users who can use the projector at any point of time. Also, if there are multiple speakers,

considerable amount of time is to be spent for switching between them. Thus, the highly

sophisticated mobile devices lose their potential in such places. A wireless projecting system can

play a major role in such conference rooms/class rooms, which would help to use the mobile

computers to their full potential.

The main task of projection devices is provided to see videos or images on a local screen by

many people. We use wireless communication between laptop and projector using Wi-Fi module

present in laptop and Wi-Fi connected to ARM board which is interfaced to projector. We need to

install projector software inside laptop for accessing the projector.

COMPONENTS:

ARM11 (Raspberry Pi),

Wi-Fi Module,

HDMI cable

Laptop

Projector




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BLOCK DIAGRAM:

IMPLEMENTATION:


1. LINUX Operating System : The Linux open source operating system, or Linux OS, is a

freely distributable, cross-platform operating system based on Unix that can be installed on

PCs, laptops, net books, mobile and tablet devices, video game consoles, servers,

supercomputers and more.

2. Qt for Embedded Linux: Qt for Embedded Linux is a C++ framework for GUI and

application development for embedded devices. It runs on a variety of processors, usually

with Embedded Linux. Qt for Embedded Linux provides the standard Qt API for embedded

devices with a lightweight window system.

3. APPLICATION LANGUAGE C / C++

ADVANTAGES:

It removes physical hardware requirement.

Portability, Accuracy and Flexibility.

APPLICATIONS:

Wireless projector.




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3. HW/SW CO-DESIGN OF AUTOMATIC SPEECH RECOGNITION

SYSTEM FOR EMBEDDED REAL-TIME APPLICATIONS


INTRODUCTION:

Recently, automatic speech recognition (ASR) on embedded platforms has been gaining its

popularity. ASR has been widely used in human–machine interaction, such as mobile robots,

consumer electronics, and manipulators in industrial assembly lines, automobile navigation

systems, and security systems. More sophisticated ASR applications with larger vocabulary sizes

and more complex knowledge sources are expected in the future. As a result, the demand for high

performance, accurate, and fast embedded ASR is increasing.

In many embedded ASR systems, a pure software-based approach is taken by developers.

This approach enables fast deployment of ASR-based applications. However, the timing

performance is constrained by the processing power and memory bandwidth of the target platforms.

As a result, word accuracy is often compromised for better timing performance.

EXISTING METHOD

The existing technology of automatic speech recognition is done by using speech

recognition modules which recognizes words that are predefined internally and the words should be

pronounced clearly and then module recognizes word corresponding task is done. But main

disadvantage of these systems are hardware complexity i.e. we require voice modules to do these

tasks and to recognize a word these module should kept very close to mouth and also we should

carry these module everywhere task should be done.

PROPOSED METHOD

Automatic speech recognition (ASR) on embedded platforms has been gaining its

popularity. ASR has been widely used in human–machine interaction, such as mobile robots,

consumer electronics, and manipulators in industrial assembly lines, automobile navigation

systems, and security systems.

Our proposed system is designed by using ARM micro controller which supports features

and algorithms for designing of automatic speech recognition system for real time applications. To

recognize the speech we use hidden Markov model (HMM) algorithm. Its main purpose is to




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convert a speech signal into a sequence of acoustic feature vectors. The entire speech signal is

segmented into a sequence of shorter speech signals known as frames. The time duration of each

frame is typically 25 ms with 15 ms of overlapping between two consecutive frames.

BLOCK DIAGRAM:

IMPLEMENTTION:

For implementing this project we are using Linux, Qt for embedded Linux and open CV library.

1. LINUX OPERATING SYSTEM: The Linux open source operating system, or Linux OS, is a








3. APLLICATION LANGUAGE C / C++

ADVANTAGES:

Less compact size.

Comfort to carry any where

Easy to operate

ARM

ARCHITECTURE

REGULATED POWER

SUPPLY

NAND

FLASH

TOUCH

SCREEN

DISPLAY UNIT

SPEECH

RECOGNITION

CIRCUIT

MIC

HAED SET

APPLICATIONS:

Used in railway, bus stations.

Used in Shopping malls

Used in Events etc.

http://www.webopedia.com/TERM/L/Linux.htm

http://www.webopedia.com/TERM/O/open_source.html

http://www.webopedia.com/TERM/O/operating_system.html

http://www.webopedia.com/TERM/P/platform.html




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4. DESIGN OF INTELLIGENCE HOME APPLIANCE CONTROL SYSTEM

BASED ON ARM & ZIGBEE

BASE PAPER – IEEE 2012 & 13

EXISTING METHOD

In the existing system, only ZigBee is used as a wireless communication device to transmit the

sensed data to the control room through commercial platform Zigbee. Zigbee wireless technology

includes short range, low band widths and low data speed transmission to the control room. So

ZigBee can transmit the sensed data in short range only.

PROPOSED METHOD:

In the proposed system, the application of WSN (Wireless Sensor Network)/ZigBee is growing

popularity and how to connect WSN/Zigbee to the present standard network seamlessly is an issue

what is worth studying. In this paper, it designs and realizes a ZigBee Wi-Fi wireless gateway

based on RF chip and embedded Wi-Fi module. In ZigBee network, wireless gateway as a sink, it

receives data from sensor nodes and interacts with them. In WLAN, wireless gateway

communicates with PC or network servers by means of AP. Both the hardware scheme and

software scheme of the wireless gateway are introduced. Then the performance of the wireless

gateway is tested, and the result shows that it can be used for general purposes and the performance

is stable. The wireless gateway can realize communication effectively between ZigBee network and

WLAN.

BLOCK DIAGRAM

TRANSMITTER:




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RECIEVER:

IMPLEMENTATION











ADVANTAGES:

Low support cost, easy to implement and low power consumption and controlling is done by

using web technology.

Remotely we can monitor temperature of the room using activated sensors.

Wi-Fi Set up to receive automatic event notifications.

APPLICATIONS:

Used to monitor temperature inside the home through Wi-Fi Technology




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5. A HIDDEN MARKOV MODEL BASED DYNAMIC HAND GESTURE

RECOGNITION SYSTEM USING OPEN CV


The goal of Human Computer Interaction (HCI) is to bring the performance of human machine i.e.

computer similar to human-human interaction. Gestures play an important part in our daily life, and

they can help people convey information and express their feelings. We propose a novel and faster

system for dynamic hand gesture recognition by using Intel’s image processing library Open CV.

Many hand gesture recognition methods using visual analysis have been proposed: syntactical

analysis, neural networks, the hidden Markov model (HMM). In our research, a HMM is proposed

for hand gesture recognition.

Our system uses Open CV image processing library to perform the complete process from pre-

processing to detection & tracking to feature extraction and finally training and testing by HMM

algorithm. Open CV based library makes the system easy to create due to the large amount of

inbuilt functions of various image processing tasks like edge detection, feature tracking etc., also

being a C++ based library the systems compatibility for real time applications is quite high with a

fast processing speed.

Our system has been described in three stages: hand detection & tracking of the gesture, feature

extraction from the tracked down image of hand and finally training & recognition of gestures.

BLOCK DIAGRAM:




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COMPONENTS

ARM9/ARM11 (Friendly ARM, Raspberry Pi, Beagle Bone), USB camera, TFT display unit

IMPLEMENTATION:










3. OPEN CV: Open CV is an open source computer vision library originally developed by Intel.

It is free for commercial and research use under a BSD (Berkeley Software Distribution)

license. The library is cross-platform, and runs on Linux, Windows and Mac OS X. It focuses

mainly towards real-time image processing, as such, if it finds Intel’s Integrated Performance

Primitives on the system, it will use these commercial optimized routines to accelerate itself.


ADVANTAGES:

Low Power consumption, easy to implement.

Automatic recognition system.

It avoids potential human errors.

APPLICATIONS:

Video games

Music player controlling

Controlling mouse actions




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6. BLUETOOTH COMMUNICATION USING A TOUCHSCREEN

INTERFACE WITH THE RASPBERRY PI


SYNOPSIS:

Raspberry Pi is a credit-card-sized single-board computer developed in the UK by Raspberry Pi

foundation with the intention of stimulating the teaching of basic computer science in schools.

The Raspberry Pi is a low cost single-board computer which has recently become very popular. In

this paper we showcase our attempt at building a low cost stand-alone device which transmits data

using the Raspberry Pi with Bluetooth and has a resistive touch screen display providing a user

interface. The Raspberry Pi is controlled by a modified version of Debian Linux optimized for the

ARM architecture. The display contains a graphical user interface which provides various fields for

data entry via an onscreen keyboard.

The graphical user interface forms a crucial part of the project as it is the point where the user

interacts with the system. We looked at several ways of doing it such as developing an application

in C and cross compiling it for ARM architecture. Bluetooth is a low cost, low power, universal

radio interface in the 2.45GHz frequency ISM band that enables portable electronic devices to

connect and communicate wirelessly via short-range, ad hoc networks. Bluetooth radios use

Frequency hop (FH) spread spectrum which divide the frequency band into several hop channels in

order to cope with severe interference. Bluetooth units that are within range of each other can set up

ad hoc connections.

BLOCK DIAGRAM:




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COMPONENTS:

ARM11 (Raspberry Pi),

Bluetooth Module,

HDMI cable

Laptop

TFT Display Unit

IMPLEMENTATION:











ADVANTAGES:

It is used to provide the security.

Low cost and low power consumption

APPLICATIONS:

It is used in corporate offices,

Government offices,

Schools,

Colleges, etc.




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7. IMAGE PROCESSING BASED REAL TIME VEHICLE THEFT

DETECTION AND PREVENTION SYSTEM


SYNOPSIS:

The main objective of this system is to develop an embedded system, which is used to start

the vehicle by recognizing the face through USB camera. Our Embedded Project is designed to

provide the security system for smart cars used to prevent them from loss or theft using Advanced

RISC Machine (ARM) processor. It performs the real time user authentication (driver, who starts

the car engine) using face recognition, using the Principle Component Analysis -Linear

Discriminate Analysis (PCA LDA) algorithm. According to the comparison result (authentic or

not), ARM processor triggers certain actions. If the result is authentic ARM generates the signal to

run the stepper motor (i.e. car engine will start automatically). If the result is not authentic means

ARM produces the signal to stop the stepper motor (i.e. Produce the interrupt signal to car engine to

stop its action) and inform the car owner about the unauthorized access via Short Message Services

(SMS) with the help of GSM/GPRS modem. Here we are going to use ARM based micro controller

to implement this project.

BLOCK DIAGRAM:




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COMPONENTS:

ARM

GSM/GPS Module,

USB Camera

Mobile, Stepper Motor

IMPLEMENTATION:


1. LINUX Operating System: The Linux open source operating system, or Linux OS, is a freely



and more.









Primitives on the system, it will use these commercial optimized routines to accelerate itself


ADVANTAGES

It can provide security easily.

Easy to implement, Automated Operation.

APPLICATIONS:

In cars, Trucks.




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8. CHILD ACTIVITY RECOGNITION BASED ON COOPERATIVE

FUSION MODEL OF A TRIAXIAL ACCELEROMETER AND A

BAROMETRIC PRESSURE SENSOR

BASE PAPER- 2013

The main aim of the project is to design “CHILD ACTIVITY MONITORING SYSTEM”. Our

Embedded system using ARM 32 bit Microcontroller has feature of image/video processing by

using various features and classification algorithms have been proposed for intelligent child

monitoring system. It overcomes the performance in terms of sensors and hardware cost is also too

high. So, our design Embedded system that child conditions continuously with camera view, with

low false alarm rate and high speed.

This system takes capture image by means of web camera connected to ARM microcontroller

through USB and the image is processed by using image processing technique. Image processing is

any form of signal processing for which the input is an image, such as a photograph or video frame;

the output of image processing may be either an image or a set of characteristics or parameters

related to the image. Using algorithms child movement is monitored continuously like child

position, child crying etc.

We can also identify different actions of a child like when child starts crying the micro phone

present in ARM board provides audio data as input and sends data to controller. Then controller

turns on the toys to entertain the child.

MEMS sensor is used to monitor child motion continuously when child tries to move audio is

provided as output through audio jack port. when moisture sensor is activated alert sound is

generated by controller.

COMPONENTS:

ARM9( Friendly ARM)

USB Camera, USB Host

MIC, Ear Phone Announcement

MEMS Sensor, Moisture Sensor

Toys Play




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BLOCK DIAGRAM

IMPLEMENTATION:





supercomputers and more

2. Qt for Embedded Linux: Qt for Embedded Linux is a C++ framework for GUI and application

development for embedded devices. It runs on a variety of processors, usually with Embedded

Linux. Qt for Embedded Linux provides the standard Qt API for embedded devices with a

lightweight window system.


ADVANTAGES:



APPLICATIONS:

Used to monitor child continuously.




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9. ARM HARDWARE PLATFORM FOR VEHICULAR MONITORING AND

TRACKING

SYNOPSIS:

Nowadays there is no GPS tracking system which can save the speed of the vehicle where accident

happens. Here we implemented two level information systems in vehicle tracking. The system

consist of MEMS (Micro Electro Mechanical System) which intimates the irregularity driving also

if microcontroller receives data from sensor it starts to save data in memory device it will very easy

to find how the accident happens. If accident occurs suddenly the SMS will send to corresponding

mobile number with latitude and longitude value. So that location of the respective accident happen

will know also memory device connected to controller gives remaining useful data’s,

EXISTING SYSTEM:

Tracking only intimated by GSM and GPS

No accident intimation

No memory devices

PROPOSED SYSTEM:

It gives information about the speed of vehicle

Consist of accident indicator

If accident happens also message send to responsible person

HARDWARE & SOFTWARE REQUIREMENTS:

Microcontroller (ARM)

MEMS Accelerometer

GPS

GSM

Memory Device

Compiler (Keil)




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BLOCK DIAGRAM

IMPLEMENTATION:


5. LINUX Operating System: The Linux open source operating system, or Linux OS, is a freely



and more.









Primitives on the system, it will use these commercial optimized routines to accelerate itself


ADVANTAGES

It can provide security easily.

Easy to implement, Automated Operation.

APPLICATIONS:

In cars, Trucks, in all vehicles.

ARM 9

MEMS Sensor

GPS

GSM




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10. A CLOUD COMPUTING-BASED IMAGE CODEC SYSTEM FOR

LOSSLESS COMPRESSION OF IMAGES ON A CORTEX-A8

PLATFORM

Our system is designed to provide an efficient architecture for the storage and processing of

images, a cloud computing-based system is proposed in our system. In addition, with the highly

increased computational ability of embedded systems, an ARM-based embedded platform is

applied in the proposed architecture as the kernel for the lossless compression, decompression,

as well as the processing of medical images.

All the images generated are first sent to the embedded platform for lossless compression before

stored in the image database server. On the other hand, images are retrieved and first sent to the

platform for decompression, and then transmitted via the network to the client for viewing

purpose.

In the proposed system, the decompressed images are transmitted with the protocol of HTTP,

which means only a browser is needed for the client. Moreover, the client can perform image

processing, e.g, image sharpening and histogram equalization with respect to the selected image

in the browser, no other application program is required. As no other application program is

required for the client other than the browser, the proposed system architecture is very easy to

maintain with, and the computational burden traditionally imposed on the client can be quite

alleviated. Furthermore, the coding algorithm used is very effective and efficient for the lossless

compression of images as we will see in the experiment. The cloud computing-based

architecture in conjunction with the high efficient coding algorithm makes the proposed system

very feasible for practical usage.

COMPONENTS:

ARM9( Friendly ARM)

USB Camera, USB Host

Remote PC

Ethernet




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BLOCK DIAGRAM:

ADVANTAGES:



Secured data handling

APPLICATIONS:

Industrial

Hospital

******************




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11. SEMANTIC BASED FOR E LEARNING CONTENT STORAGE ON

CLOUD

BASE PAPER - 2013

INTRODUCTION

During the last years, the nature of the Internet was constantly changing from a place used to

read web pages to an environment that allows end-users to run software applications. Cloud

computing is growing rapidly, with applications in almost any area, including education. E-learning

systems usually require many hardware and software resources. There are many educational

institutions that cannot afford such investments, and cloud computing is the best solution.

PROPOSED METHOD:

E-Learning represents an innovative shift in the field of learning, providing rapid access to

specific knowledge and information. It offers on-line content that can be delivered anytime and

anywhere through a wide range of electronic learning solution. Storage as a service model of the

cloud helps to store e-content materials in distributed environment so that it can be accessed

efficiently.

Our proposed system is designed by using 32-bit ARM micro controller which supports

Operating system. We store text documents inside pen drive connected to board and we design web

page using cloud computing and placed inside the server. We can access this web page from any

different location by entering user name & password (this is for security). Once we have logged

inside that page we can see text documents indication with download button if we click on

download button the text files will be downloaded at remote location.

COMPONENTS:

ARM9/ARM11 (Friendly ARM, Raspberry Pi, Beagle Bone),

USB camera, TFT display unit




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BLOCK DIAGRAM:

IMPLEMENTATION:










3. CLOUD COMPUTING: Cloud computing is an expression used to describe a variety of

computing concepts that involve a large number of computers connected through a real-time

communication network such as the Internet. In science, cloud computing is a synonym for

distributed computing over a network, and means the ability to run a program or application on

many connected computers at the same time.

ADVANTAGES:


Portability,

Accuracy and Flexibility.

APPLICATIONS:

Text files streaming




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12. THE PEOPLE NUMBER ESTIMATION BASED ON THE EMBEDDED

DSP SYSTEM WITH SURVEILLANCE CAMERA

BASE PAPER – 2013

The advancement of the technology in industries and our lives, the video monitor with image

processing techniques has developed in many applications of embedded system, for example, a

system is designed to be a master-slave structure based on PC and DSP for a tracking algorithm.

The data of images extracted by PC are transmitted to DSP. Our system proposes a method to

estimate the number of the people in an indoor environment. The method is implemented on

embedded digital signal processing (DSP) system for energy-saving. Using background subtraction

technique to extract foreground, every row pixels of extracted foreground and an adjustable human

template are weighed by the proposed weighting model and then we accumulate those weighed

pixels to estimate the number of people. The experimental results show that the proposed method

has outstanding performance on estimating the number of people in the video surveillance.

The design for the embedded-motion detection system involves various aspects such as the

selection of the hardware platform and the embedded operating system. The development board

with Samsung S3C2440is selected as the hardware platform. Start-up codes, OS kernel and users’

application programs are together stored in a NAND FLASH whose capacity is 64MB.

Our system is designed by using ARM 32-bit micro controller which supports features of

image/video processing using various algorithms for developing people counting system.

In our designed system image is captured by using USB camera through USB port then image is

processed using image processing technique. First it captures image that captured image is

compared with previous image by using image detection algorithm if it finds variation of detected

image with previous image then only it stores captured image.

COMPONENTS:



USB Host




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BLOCK DIAGRAM:

IMPLEMENTATION:









ADVANTAGES:

It is used to provide the security.

Automatic monitoring system.


APPLICATIONS:

It is used in corporate offices,

Government offices, Schools, Colleges, etc.




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13. TWO-DIMENSIONAL SENSOR SYSTEM FOR AUTOMOTIVE CRASH

PREDICTION

BASE PAPER - IEEE-2013

In the existing method, the car or vehicle itself is aware of its movement. If the driver

himself is not concentrating on driving or any other parameters, which may cause damage to

vehicle as well a life. There is no such technology to avoid the accidents while driving. This is the

main drawback present in existing system.

PROPOSED METHOD:

This project is about advanced technologies in cars for making it more intelligent and

interactive for avoiding accidents on roads. In this project we are using anisotropic magneto

resistive (AMR) sensors and sonar sensors.

The AMR sensors are used to measure the magnetic field from another vehicle in close

proximity, to estimate relative position, velocity, and orientation of the vehicle from the

measurements. While AMR sensors have previously been used to measure traffic flow rate and to

detect vehicles in parking spots, they are used here to measure the relative 2-D position of the

vehicle. The sonar sensors are used for imminent collision detection in cars.

The work in this project is to develop an inexpensive sensor system for an automobile that

can predict an imminent collision with another vehicle, just before the collision occurs.

Here we are connecting sensors to ARM controller. If the sensors get activated the controller will

give warning sounds by using buzzer. Also it stops the vehicle by using motor.

COMPONENTS:

ARM

AMR Sensor, Sonor Sensor

Buzzer, ADC

DC Motor

Driver IC L293D




26

BLOCK DIAGRA M:

IMPLEMENTTION:

For implementing this project we are using Linux and Qt for embedded Linux.










ADVANTAGES:

Low power consumption.

Easy to implement.

APPLICATIONS:

Use to predict collisions while driving.




27

14. A HAND GESTURE RECOGNITION FRAMEWORK AND WEARABLE

GESTURE-BASED INTERACTION PROTOTYPE FOR MOBILE

DEVICES

EXISTING METHOD:

Sensing and identifying gestures are two crucial issues to realize gestural user interfaces. In the

existing system cameras are used to sense gestures, but it has not been applied in most mobile cases

due to challenging problems such as changing light and background. This is the main drawback

present in existing system.

PROPOSED METHOD:

In the proposed method we are using wearable sensors to sense and identify the gestures. Here we

are using Accelerometers and surface electromyography (SEMG) sensors. These two sensors

provide two potential technologies for gesture sensing. Accelerometers can measure accelerations

(ACC) from vibrations and the gravity; therefore, they are good at capturing noticeable, large-scale

gestures. SEMG signals, which indicate the activities of related muscles during a gesture execution,

have advantages in capturing fine motions such as wrist and finger movements and can be utilized

to realize human–computer interfaces.

Here Accelerometer, SEMG sensor, and Bluetooth are connected to micro controller. The total

system is placed at user’s wrist. Whenever gesture is generated, that can be identified by sensors

and the controller will send the information to Bluetooth module. Another Bluetooth will receive

the information and send to ARM controller. Here ARM board acts as mobile device. Based on

gesture recognition we can control the mobile device applications like playing music, displaying

video, opening message icon etc.

15. COMPONENTS:


Bluetooth Module, TFT display unit

Accelerometer, SEMG Sensor




28

BLOCK DIAGRAM:

AT USER’S WRIST:

AT MOBILE:

ADVANTAGES:



Low cost, easy to implement.

APPLICATIONS:

Control mobile device applications through gestures.




29

15. VIDEO MONITORING SYSTEM BASED ON ARM 9

BASE PAPER- JOURNAL 2013

AIM:

With the rapid development of computer, network and image processing, transmission

technology, video monitoring technology also get rapid development, going to digital network

age; At the same time, video monitoring requirements are constantly improve, more and emphasis

on image smooth, low bandwidth, stability and intelligent.

Embedded video monitoring system development trend is monitoring front-end integration,

video digitization, monitoring network, system integration. Our system is designed used ARM-32

bit microcontroller which supports an operation system for the development of video monitoring

system developed by Samsung S3C2440 processor as core with USB video acquisition,

processing, transmission together, this system consists of video server and monitoring client

composition, main modules including, video network transmission module, the client display

module.

BLOCK DIAGRAM:

COMPONENTS:



USB Host




30

IMPLEMENTATION:











ADVANTAGES:

Easy to implement.

It consumes less power.

High detection capabilities and have high response speed.

APPLICATIONS:

Organizations

Security areas

*********************




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16. IMPLEMENTATION OF EMBEDDED PEN DRIVE TO PEN DRIVE

DATA TRANSFER WITHOUT PC

INTRODUCTION:

A pen drive is a portable Universal Serial Bus (USB) flash memory device for storing and

transferring audio, video, and data files from a computer. As long as the desktop or laptop has a

USB port, and the pen drive is compatible with the operating system, it should be easy to move the

data from the hard drive to the device — and to another computer — in a matter of minutes. The

drive gets its name from the fact that many have a retractable port connector like a ballpoint pen,

and they are small enough to fit into a pocket. Other names include flash drive, jump drive, and

thumb drive.

This project sends the data from one pen drive to another by connecting USB Hub to ARM

architecture. It is real time and user friendly application.

EXISTING METHOD:

Nowadays the transfer of data between two pc’s can be done with either net accesses or

LAN network. But the transfer of data between PC’s is not secured and for transferring data

between pen drives in general we require PC’s.

DISADVANTAGES OF EXISTING SYSTEM:

In the existing method we can transfer the data from one place to another place by using net

access, but if we transfer the data between PC’s the data is not secured and also it requires two PC’s

to communicate.

PROPOSED METHOD:

This system pen drive to pen drive data transfer without PC is done by using ARM

architecture. The pen drives are connected to USB module through USB hub. The communication

between two pen drives is done by using ARM. To transfer the data between these pen drives, the

data which has to be transferred is placed in one pen drive. By pressing send icon on touch screen,

we can send data to other pen drive through USB Hub. We can send data in pen drive as well as we

can create new document with the QWERTY keypad present on touch screen and can send it to

other pen drive.




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BLOCK DIAGRAM:

ADVANTAGES:

This project is used to transfer the data from one pen drive to another without using PC.

Pen drives equipped with a large amount of memory.

The data stored on pen drives is safer.

Depending on the storage size, pen drives can hold anywhere from 128 MB to 32 GB or

more.

APPLICATIONS:

Corporate offices, Government offices

Business sectors, Bank sectors, etc.

**************

ARM

ARCHITECTURE

REGULATED

POWER

SUPPLY

USB

PENDRIVE

LCD & TOUCH

SCREEN

USB

HUB

USB

PENDRIVE




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17. AN EFFICIENT MULTI CLASSIFIER SYSTEM BASED ON

CONVOLUTION NEURAL NETWORK FOR OFFLINE HANDWRITTEN

TELUGU/TAMIL/HINDI CHARACTER RECOGNITION

EXISTING METHOD:

In existing system characters can be recognized by using MEMS accelerometer. The sensor is

attached to hand. Hand gestures and the accelerations of hand motions measured by the

accelerometer. Based on the sensor information the controller will display particular hand

movement on display unit. Here main drawback is the MEMS sensor will not give accurate value.

It does not detect curved movements.

PROPOSED METHOD:

The proposed method is used to overcome the drawback present in existing system. Here we are

using ARM controller to implement this project. We are connecting mouse and monitor to

controller. Move the mouse in different positions, the corrosponding movements will display on

monitor.

For implementing this project we are using 3D caliberation, check and gesture recognition

algorithms. By using these algorithms the controller will recognize the characters and it will display

on monitor.

BLOCK DIAGRAM:




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IMPLEMENTTION:











COMPONENTS:


USB Mouse, TFT display unit

USB Host

ADVANTAGES:



Automatic detection

APPLICATIONS:

Schools, colleges.




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18. SCENE-SPECIFIC PEDESTRIAN DETECTION FOR STATIC VIDEO

SURVEILLANCE

BASE PAPER- IEEE FEB 2014

EXISTING METHOD:

Pedestrian detection is one of great interest in video surveillance. Most surveillance cameras are

stationary. If a scene is fixed, the variations of positive and negative samples will be significantly

reduced, since videos captured with a single camera only have limited variations on viewpoints,

resolutions, lighting conditions, and backgrounds. Many existing works are based on background

subtraction. It not only requires a large variety of viewpoints, resolutions, lighting conditions,

motion blur effects, and backgrounds under numerous conditions, but also a very complex

classifier to handle so many variations.

PROPOSED METHOD:

We propose a new approach of automatically transferring a generic pedestrian detector to a scene-

specific detector in static video surveillance without manually labeling samples from the target

scene. Our process of training a scene-specific pedestrian detector is detecting and selecting

samples from the target scene, labeling target samples and estimating their initial confidence

scores with context cues and training the scene-specific detectors.

Here we are interfacing camera to 32-bit ARM controller. The camera will capture video and send

to controller. The controller will identify the pedestrain present in video by using open CV library

and it will label the pedestrian in the video. Finally it displays detected pedestrain on touch screen

display unit.

COMPONENTS:


USB Mouse, TFT display unit

USB Host




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BLOCK DIAGRAM:

ADVANTAGES:

It avoids the accidents while driving.

Automatic monitoring system


APPLICATIONS:

It is used at High ways,

School zones, Roads, etc.




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19. MOBILE PHONE SIGNAL JAMMER FOR GSM, CDMA WITH PRE-

SCHEDULED TIME DURATION USING ARM7

This Paper is designed and implemented for Mobile phone signal jammer for GSM, CDMA with

prescheduled time duration using Mobile jammer and ARM7. The jamming device broadcasts an

RF signal in the frequency range reserved for cell phones that interferes with the cell phone signal,

which results in a "no network available" display on the cell phone screen. All phones within the

effective radius of the jammer are silenced. The activation and deactivation time schedules can be

programmed with microcontroller. Real time clock chip DS1307 is used to set the schedule.

BLOCK DIAGRAM

Projects Based On ARM

Documents

Transcript of Projects Based On ARM