Bachelor of Electrical and Electronic Engineering (EEE)

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analysis of the impacts of load shifting dependent dsm strategy in a neighboring locality in bangladesh
(Department of Electrical and Electronic Engineering, 2022-06) REZA, MD. SHAMIUN; ISLAM, MD. RYHANUL
In recent years, end users management of power usage has been given more importance to ensure efficient and effective use of electricity. One such tool, that can improve the end user power use scenario is Demand Side Management (DSM). The main theme of DSM is to reduce power wastage, improve efficiency and to reduce the price of electricity to the consumer. In this work,We have investigated the effects of residential customers’ load shifting compared to their historical patterns of energy consumption. We have followed the data collection methodology of a similar study to take realistic load profile of the consumers. We have collected 10 individual house data from different locations to keep variety in the load profiles of the consumers and to find out an overall scenario. Initially, we have used an excel spreadsheet to take consumer data then we made simulink model for each user. The simulink model has been used to simulate the load shifting and its impacts. From the study we found that 6.7% of the total load can be shifted from peak electric hour to off peak hour. This study can make an important role in applying load shifting among mass consumer and to examine its impacts.
An Approach To Perform Comprehensive Wind Turbine Performance Analytics By Means Of Machine Learning (Sci-Kit Learn)
(Department of Electrical and Electronic Engineering, 2022-06) ZUBAIR, MUHAMMAD; MASUD, FAISAL IBNE; YEAKUB, MAHAMMAD
With the present day’s emphasis on sustainable and secure energy supply, wind power sector is growing rapidly all over the world. Along with the rapid expansion of the wind turbine sector, the wind turbine industry is also growing. Understanding the power response of these systems to the variations in wind velocity is essential for the optimal selection and efficient management of these turbines. This is defined by the power analysis and prediction of wind turbines output. Previous approaches such as mechanical aspects of a turbine are used to work with wind turbine power output. However, these techniques are not capable of analyzing big dataset with hefty number of parameters. In this regard, Machine Learning is a handy tool to analyze a dataset and design a model that can perform prediction related to turbines parameters. Python is one of the Open Source convenient tools to implement ML tasks. In this thesis work, we proposed Scikit Learn based Machine Learning models, which is based on Python for the power analysis. Three different machine learning methods such as XGBoost, LightGBM, Catboost were used for the modeling. The comprehensive dataset based on Western Wind Firms are being used to design the analysis model. The accuracies of these models are validated by estimating the error between the model output and the field observations from these turbines from the comprehensive dataset.
Bachelor Of Science In Electronic And Telecommunication Engineering
(Department of Electronic and Telecommunication Engineering, 2022-01) Nayem, Tanvir Mohammad; T173002; Rakibul Islam, T173035; Mohammad Yesin, T173038
With the evaluation of technology, medical science is no longer static. We have seen many important electronic devices that help a lot in the patient health observation and operation monitoring system. Patients are in danger of dying unexpectedly owing to a specific cause of heart difficulties and attacks, which is caused by a lack of proper medical care provided to patients at the appropriate time. An ICU patient needs proper observation. Mostly they are being observed on basis of ECG, Blood pressure, body temperature, oxygen saturation, and diabetes sugar level. Only ICU patients get access to such amenities. But we are going to develop a system in which a patient outside of an ICU or from home can also be under these observations remotely with the help of IoT. The data gathered from the patients will be automatically stored on a server, which can subsequently be accessed via the app. Even if the doctor is a significant distance away, an IoT health monitoring system can help with disease prevention and precise diagnosis of one's present state of health
A Blockchain-Based Smartgrid Monitoring, Protection, And Electricity Trading Scheme
(Department of Electrical and Electronic Engineering, 2020-12) DAS, SOURAV; CHOWDHURY, PLABON
The electricity demand is at its highest peak with the rapid growth of modernization. To mitigate the ever-increasing demand for electricity, microgrid becomes quite popular in recent days. In nature, the traditional power market is unidirectional, i.e. power plants provide the consumers with electricity that contributes to centralization and monopoly. With the emergence of prosumers, microgrid is popular with its bidirectional configuration of energy supply. But the challenges also arise in terms of microgrid monitoring and trading mechanism. Furthermore, the traditional model of microgrid becomes vulnerable prey to cyber-attack. Incorporating blockchain can address all those challenges with minimal effort. Blockchain is an immutable, secure data management technology that is decentralized in nature. This thesis presents a triple-layered blockchain model constructed for real-time microgrid monitoring. A blockchain-enabled differential protection system is also designed for virtual protection of the grid in the event of physical relay failure. The protection model also prevents false data injection and cyber threats to the microgrid. To facilitate trade between prosumers, algorithms are designed to form coalitions and negotiate electricity trading. We have created a three-layered blockchain using Python. Also, we have designed a simulink model for blockchain-enabled monitoring and protection scheme using MATLAB. Our proposed thesis work (Smartgrid) itself is an application. It can not only implement on Smartgrid but also implement on Microgrid, low voltage DC Grid and all types of Power Grid.
A Comparative Analysis Of Artificial Neural Network-Based Load Forecasting Model For Chittagong Region
(Department of Electrical and Electronic Engineering, 2021-12) Hossen, Md. Mainul; Rahman, Md. Mafiur
This study is to observe a comparative analysis of electrical load consumption and forecasted load for different weather scenario of Chittagong, a region of Bangladesh. In Smart-grid techniques, electricity generation must follow electrical load demand for optimal power operation. In this study, ANN based some load forecasting algorithms are observed for several cases. A real time weather data set for different locations of Chittagong are recorded through an IoT device from April, 2021 to June, 2021 along with online weather data of 60 days to analyse the ANN model. The complete analysis classified into 5 cases in this work to find the better output model. The maximum MAPE value of 8.26% occurs in case 2 for twelve-hour interval data, while the minimum MAPE value of 0.59% occurs in case 5 for weekend days data. Using MATLAB built-in tool Neural Net Fitting, different Back-propagation algorithm such as Levenberg Marquardt, Bayesian Regularization and Scaled Conjugate Gradient algorithm are applied in this ANN training to get better performance.
Comparative Study Of Thin Film Deposition And Characterization Using Carbonic Materials
(Department of Electrical and Electronic Engineering, 2021-12) MAHMUD, ABDULLA ALL; SIKDER, AHSANUL ISLAM
Electrolysis of methanol with Camphor and CNT was used to deposit carbon thin films on Aluminum (Al), Copper (Cu), Silicon (Si), Zinc (Zn) substrates and CNT materials were used to spin coat Silicon (Si). The integration of camphor (C10H16O), a natural source in methanol is studied. To make the electrolytes, different amounts of camphor were combined in methanol solvent. On the negative electrode Al, Cu, Si and Zn substrates were placed. With increasing camphor concentration, the volatility of current density as a function of applied voltage shifted significantly. It is discovered that the current density of all substrates drops initially with camphor compared to a methanol solution and then increases. However, the amount of camphor that can be added to a methanol solution to increase current density has a limit. The amount of camphor needed to achieve maximal current density was found to vary depending on the substrate. On the Zn substrate, the maximum current density was recorded during camphor deposition. CNT deposition on Si substrate produced higher current densities than camphor. The P H of several solutions was measured before and after deposition. Camphor has a P H altering effect. Variations in P H were found as the amount of carbonic materials in the methanol solution varied. Changes in PH before and after deposition indicate any chemical changes on the substrates. The films were examined using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). Sharp variations between deposited films can be seen in EDS and SEM micrographs. In SEM, the effects of Methanol and other carbonic materials can be seen. In terms of SEM analysis spin coating shows better nano properties compared to electrodeposition. When comparing nano carbonic materials to camphor, EDS research showed that the carbon percentage of the electrodeposited films is higher for nano carbonic materials. The largest percentage of carbon was detected in films made with MWCNT on Si substrate (both electrodeposition and spin coating).
A Comparative Study On Silicon, Germanium And Silicon Carbide Based Power Mosfet And Pin Diode
(Department of Electrical and Electronic Engineering, 2022-04) SHOHAG, TANVIR YOUSUF; MASUM, KAZI MAHAMUD AL
Improving switching characteristics is one of the ongoing challenges for all power electronics devices like- transistors, MOSFETs, diodes. For overcoming this particular challenge, researchers have been working on its internal structures, setups as well as several material-based studies. In this study, the switching characteristics of MOSFETs and PiN diodes have been analysed. For the MOSFET, the DC characteristics are shown after changing its base materials by Si, Ge and SiC but the overall study and simulation setups were kept as usual. Among the three, the Ge based MOSFET shows comparatively better response than the MOSFETs of Si and SiC based in terms of its turn on voltage and output characteristics. Same type of materials-based study were done for the PiN diodes. The Ge based PiN diode depicts better forward recovery time as well as forward recovery voltage than for the others two materials. This study describes briefly about the outcomes from the three MOSFETs along with the three PiN diodes
Computer Vision Based Industrial and Forest Fire Detection Using Support Vector Machine (SVM)
(IIUC Central Library) Rahman, Md Abdur; Hasan, Sayed Tanimun
Burning issue is a very serious issue nowadays in our garments and industries sector. The workers are facing the problem and losing valuable life. On the other hand, investors are losing their hope in this sector. In this paper, we have propounded a vision-based system which is capable to detect fire. We have developed a pipeline model consisting of Background Subtraction, Color Segmentation, Special Wavelet Analysis & a Support Vector Machine which will detect real-time fire and smoke.For SVM model we have trained the dataset in two ways. One is the different kind of fire image and other is the image that looks like fire but it’s not fire. If the situation is breaking out of fire then the system will immediately raise an alarm and an automatic SMS and email will be sent to the authority and nearby fire station. In this study, the proposed strategy works on a very large dataset of fire videos that have been collected both in real life situations and from the internet.In this SVM pipeline model shows the maximum accuracy is is 93.33%. The system can fulfill the precision and detect faster real-time fire detection. Its industrial application will aid in the early detection of fires, as well as emergency management, and so greatly contribute to loss prevention.
Computer Vision Based Industrial And Forest Fire Detection Using Support Vector Machine (Svm)
(Department of Electrical and Electronic Engineering, 2022-04) RAHMAN, MD. ABDUR; HASAN, SAYED TANIMUN
Burning issue is a very serious issue nowadays in our garments and industries sector. The workers are facing the problem and losing valuable life. On the other hand, investors are losing their hope in this sector. In this paper, we have propounded a vision-based system which is capable to detect fire. We have developed a pipeline model consisting of Background Subtraction, Color Segmentation, Special Wavelet Analysis & a Support Vector Machine which will detect real-time fire and smoke.For SVM model we have trained the dataset in two ways. One is the different kind of fire image and other is the image that looks like fire but it’s not fire. If the situation is breaking out of fire then the system will immediately raise an alarm and an automatic SMS and email will be sent to the authority and nearby fire station. In this study, the proposed strategy works on a very large dataset of fire videos that have been collected both in real life situations and from the internet.In this SVM pipeline model shows the maximum accuracy is is 93.33%. The system can fulfill the precision and detect faster real-time fire detection. Its industrial application will aid in the early detection of fires, as well as emergency management, and so greatly contribute to loss prevention.
Cost Optimization And Cost Analysis Of Medium Scale Ev Chargign Station Using Linear Programming
(Department of Electrical and Electronic Engineering, 2022-07) FARUK, MD. OMAR; AZFAR, MD. ALY
Energy storage system combined with an optimal energy management system can be a reliable solution for minimizing the grid energy costs for fast charging electric vehicle charging station integrated with on-grid photovoltaic system. In this study, the main goal is to optimize grid energy cost by optimizing energy management system for a medium scale electric vehicle charging station in the context of Bangladesh. The suggested solution (charging station with storage and EMS) is simulated in MATLAB, and its performance is evaluated using the Bangladesh energy regulatory framework and power tariff structure. Two different forecasting methods are used for forecasting PV output and grid electricity unitary price following peak, off-peak and super off-peak hours of national grid. The focus of the investigation is on the system's economic performance. Its cost-effectiveness is determined using an optimization technique that produces the best control strategy and necessary infrastructure design. Linear programming optimization technique is used to solve the problem. The energy cost is analysed by four case studies such only load, load with PV, load-PV with Heuristic EMS and finally load PV with LP EMS. Different cost is found during different case studies. The most important elements for this analysis are charging load and tariff structure. Hence, electric vehicle infrastructure is near future for Bangladesh, charging demand is modelled using an artificial EV load estimator algorithm for 50 kW DC fast chargers. Overall, the results demonstrate that, based on forecasted data and load demand, the system might be a financially feasible cost-cutting alternative during peak-period pricing. On the other hand, demonstrates how input factors have a significant impact on system design and performance. The most essential of them was determined to be the power tariff, PV output and load demand. As a result, a thorough examination of this parameter's impact is carried out.
Data Analysis Of Gait Signals Of Patients To Detect Possibility Of Parkinson Disease
(Department of Electrical and Electronic Engineering, 2021-05) Faruq, Osman; Shahjahan, Md
Gait analysis is used to assess and treat individuals with conditions affecting their ability to walk. It is also commonly used in sports biomechanics to help athletes run more efficiently and to identify posture-related or movement-related problems in people with injuries. Gait jpattern jisjuseful jforjunderstanding ja jpersonsjwalking jpattern jand perkinson disesease state. jThejgaitjisjhighlyjindividualjandjaffectedjbyjmanyjfactors jsuch jasjphysique, jage, jgender, jand jemotions. jFurthermore, jrecorded jgait jdatabasesjare jcharacterized jby jhighly jdimensional, jtemporally jdependent, jhighly jvariable, jand jnonlinear jdata jvectors. jDue jto jthese jreasons, jautomatic jrecognition jof jaffect jis ja jchallenge jfor jpattern jrecognition jalgorithms. jWithin jthis jwork, jpredictive jand jinferential jstatisticsjare jtheoretically jand jnumerically jcompared. jSimilaritiesjasjwell jas jdissimilaritiesjare jelaborated. jDifferent jfeature jextraction jtechniquesjand jstatic jasjwell jasjdynamic jclassification jmethodsjare jcompared jforjthe jrecognition jofjemotionsjin jgait jpatterns. jForjajsmalljnumberjofjtrainingjsamplesjandjhighlyjdimensionaljfeaturejvectors, jit jisjderived jthat jthe jdecision jbordersjof ja jnearest jneighbor jclassifier jcoincide jwith jthe jdecisionjbordersjofjajsupportjvectorjmachinej(SVM) that has implemented on Python 4. jFurthermore, jalgorithms jtrained jfor jindividuals jare jcompared jwith jalgorithms jnot jconsidering jthe jidentity jof jthe jwalker. jThis jwork jcontributes jto jthe jstate jof jthe jart jby jexploring jvariousjfacetsjofjpattern jrecognition jalgorithmsjforjgaitjanalysisjand jstudying jgait jas jmodality jfor jaffective jcomputing. jIt jprovides jvaluable jinsights jconcerning jthis jtopicjandjopensjvariousjperspectivesjforjfuturejwork. j
Design & Implementation of An Arduino Based Solar Powered Weather Station
(IIUC Central Library, 2017-08-18) Saheel, Fahim Ashab; Islam, Mohammad Saiful
Weather is the state of the atmosphere and is a very essential part of human life. Important things like living in a place or scientific experiments depends on weather of that particular area or state or room. For these, people need atmospheric measurements of temperature, humidity, pressure etc. and these information is providing by weather stations. This paper describes the approach to set up a weather station based on Arduino. The main attributes of this weather station is to measure the surrounding atmospheric readings of weather. These readings will be collected by some sensors which are temperature and humidity sensor (THD), barometric pressure sensor. A wifi module is also used in this weather station to maintain a connection to the internet to get more informations like sunrise, sunset, rainfall and wind speed . All these readings will be displayed on a LCD display and every steps of this station is directed by an arduino mega microcontroller. A matrix keypad is used in here to help the users to view the readings of current weather update, predictions of today and tomorrow easily. Also this weather station is powered by solar panel.
Design & Implementation Of Electrical Vehicle Wireless Charger
(Department of Electrical and Electronic Engineering, 2022) RHAMAN, MD. ASHIKUR; ALI, MD. TANVIR; ALIM, MD. ABDUL
Wireless charging is becoming increasingly popular owing to the rising usage of EVs and consumer devices. This article discusses the design and execution of a contactless battery charger for electric cars. Systems based on double-D (DD) coils, which try to minimize core loss by designing and optimizing the core, are the subject of this study. You'll notice core loss if you utilize a wireless charging pad with medium to high power. Conventional approaches imply that the magnetic field in the core is equally distributed. With its non-uniformity, the core's magnetic field creates a large surge in core loss. This study focuses on the design and implementation of a multi-purpose wireless charger. Based on a Colpitts oscillator, the transmitter's core construction is fairly simple. The receiver coil's coupling efficiency has been boosted owing to advancements in the coil's construction. A workable system has been constructed and is ready to be pushed out into the world.
Design a Grid Connected PV Solar System for IIUC Female Academic Building
(IIUC Central Library, 2015-11) Tipu, Md.Ohidul Alam; kanungo, Biswajit
This study aims at developing a standard procedure for the design of a grid connected PV solar system for IIUC campus using rooftops of those building which are favorable to the sunlight and other system is car parks. Bangladesh is facing an acute shortage of energy. Natural gas is the main source of electricity generation in Bangladesh. But the limited gas reserves cannot fulfill the necessities of both domestic requirements and industrial and commercial demands, especially demands for electricity generation for long. Due to this shortage of electricity, not only we are facing load shedding across the country but also the industrial sector is badly affected. Since load shedding occurs, the campus faces so many problems due to absence of continuous power. To ensure continuous power supply, we have chosen solar power as our second way to fed power which will be grid connected. This will be beneficial way to make up the power crisis. A grid-connected photovoltaic power system will reduce the power bill of our campus as it is possible to sell surplus electricity produced to the local electricity supplier. These are comparatively easier to install as they do not require a battery system. Grid interconnection of photovoltaic (PV) power generation systems has the advantage of effective utilization of generated power because there are no storage losses involved. A photovoltaic power system is carbon negative over its lifespan, as any energy produced over and above that to build the panel initially offsets the need for burning fossil fuels. Even though the sun doesn't always shine, any installation gives a reasonably predictable average reduction in carbon consumption.
Design And Analysis Of A High Gain Microstrip Patch Antenna For X-Band Satellite Applications
(Department of Electrical and Electronic Engineering, 2017-05) Tamim, Ahmed Mahfuz; Chywdhry, Md. Abdur Rahman
Design And Analysis Of A Hybrid Power Charging Station For Electric Vehicles At Patenga, Chittagong
(Department of Electrical and Electronic Engineering, 2022-08) FAISAL, MD MOKAROM HOSSAIN; AYAN, NURUL AZAM; HOSSAIN, MD. ISMAIL
As the number of electric vehicles on the road continues to rise, the issue of charging becomes more pressing. It is essential to construct charging stations (CS), which are analogous to petrol stations, in order to meet the demand for recharging and make things more comfortable for drivers. Research on a novel charging station design that makes use of renewable energy sources was conducted for the purpose of this article. In order to deal with the unpredictability, a hierarchical energy management system that is geared toward real-time application has been developed. MATLAB simulation was used in order to establish the appropriate size of the CS by taking into account many objectives, such as economics, the environment, and the degradation of the battery energy storage system. Electric vehicles get their power from their batteries, and these batteries may be charged using either traditional or alternative forms of energy. In this work, the DC Converter for battery charging system for electrical cars that utilize solar is discussed. It is proposed that the Greatest Power Point Tracking (MPPT) algorithm be used to boost the efficiency of the PV system. This would allow for the maximum exploitation of the sun's available energy. Electronics of Power Supply Controlling the process of charging a battery for an electric vehicle may be accomplished with the help of a voltage regulator. The MATLAB/Simulink Simpower Systems are utilized in order to do an analysis on a simulation of the aforementioned system.
Design And Construction Of A Smart Restaurant Service Using Conveyor Belt
(Department of Electrical and Electronic Engineering, 2022-04) JOY, PRITOM PARIAL; JUBAID, JUBAIDUL ISLAM; ISLAM, MIFTAHUL
In this digital world, the main focus is to automate every possible thing to take advantage in providing ease in human life. Automation is being seen in industrial consumer and commercial applications. We see in most of the restaurant’s meal orders is relying on the interaction with waiters to place the order in the kitchen. This cooperation is difficult during peak hours, leading to customer dissatisfaction. Besides this, the system is not even hygienic, especially in a situation like the Covid pandemic. By realizing this, Smart Restaurant System has been proposed in this project. The system covers the whole order process of a restaurant including the interaction between the customer, the waiter, the kitchen, and the cashier through wireless devices. By implementing this system we assure a hygienic food service system. We can reduce the time between the order and delivery process. As the order process will be done by the wireless system so there is no need for a waiter which helps to reduce the manpower of the restaurant system. The restaurant owner will be able to maintain the restaurant smoothly even during the pick hour. We have used Arduino NANO which controls the main function of the management system. An obstacle sensor system has been implemented so that it can sense the arrival of food and can stop by itself at the proper destination. We also used a conveyor belt by which the food arrives from the kitchen to the customer. The conveyor belt is run by a forward and reverse bias dc motor. For this, we used a motor driver module. Bluetooth module is used in wireless connection system. To avoid the use of regular menu system we used LCD and TFT displays for displaying the menu and placing the order. Alongside with all of this, we used other equipment necessary for the system
DESIGN AND CONSTRUCTION OF IoT BASED STREET LIGHT FAULT, MONITORING AND CONTROLLING SYSTEM FOR GREEN CAMPUS OF IIUC
(Department of Electrical and Electronic Engineering, 2022-08) BHUIYAN, MD. GOLAM SAMDANI; UDDIN, MOHAMMAD BORHAN
The primary focus today is reducing carbon emissions to save the planet. The CFC layer is affected by carbon emissions as well, which raises the earth's temperature. In this era, most of the university campus authorities in Bangladesh have become inspired for making their campus green. Because of green technology, carbon emission is low. In order to fix a problem, we must identify the problem. Nowadays, in developing countries like Bangladesh, the street light system is currently used, where anyone can notice that the street light remains on during the day and not properly on at night. Besides, this existing system is costly from what people can see a lot of energy is being wasted which is a big financial loss for us. Light emitting diodes are the commonly used street lighting solution nowadays. The project is to create a model using some sensors to design a low-cost street lighting system that can save energy consumption and reduce manpower. In this project, considering three types of places for IIUC campus and checking the dimming slot time for the lights. Finally, scheming the electricity consumption cost according to the model having 10% consumption of power at dimming hours and 100% consumption at the rest of the times. After that, lighting cost is saved in comparison with existing street light system in the campus.
Design and Development of a Smart Wheelchair Prototype for Physically Disabled People.
(IIUC Central Library, 2017-12-14) KHAN, MD. SALMAN; HOSSAIN, MD. SHAKHAWAT
Bangladesh is a developing country with a large number of people. Every year, a large number of people become lame due to road accident and unable to walk normally. Wheel chair is the best assistive device used by elder and differently abled people who cannot walked normally. The driving and controlling of traditional manual wheel chair are much harder task. So our aim is to build a powerful wheel chair which helps the handicapped (lower half of the body is paralyzed) people to travel without depending others. The bone for physically challenged people is a wheel chair. The wheel chair is developing day by day. The modern wheel chairs come equipped with a self-motor to help run the wheel chair by a joystick. The joystick controlled wheel chair is a bit difficult for certain people to operate. Mainly for old and weak people. Again, the voice controlled wheel chair is not suitable at all situation because of noisy environment and sound. It is also difficult to give command for old or weak people. Moreover this wheelchair is costly. So our proposal is to make such a cost effective electronic gesture based wheel chair which will be easy to operate rather than the joystick input. In our proposal, we will show to control a wheel chair using in build gesture function of a smartphone and touch sensor. A special feature of our wheel chair is that, obstacles in front of the way of wheel chair can be detected which can avoid the collision between chair with that detected obstacle. Another feature of this chair is to use an IP camera that gives visual and acoustic information to the guardian of the riding people. The aim of this developed electric wheelchair is to provide easy and comfortable life for the handicapped people whose lower half of the body is paralyzed.
Design and Development of a Smart Wheelchair Prototype for Physically Disabled People.
(IIUC Central Library, 2017-12-14) KHAN, MD. SALMAN; HOSSAIN, MD. SHAKHAWAT
Bangladesh is a developing country with a large number of people. Every year, a large number of people become lame due to road accident and unable to walk normally. Wheel chair is the best assistive device used by elder and differently abled people who cannot walked normally. The driving and controlling of traditional manual wheel chair are much harder task. So our aim is to build a powerful wheel chair which helps the handicapped (lower half of the body is paralyzed) people to travel without depending others. The bone for physically challenged people is a wheel chair. The wheel chair is developing day by day. The modern wheel chairs come equipped with a self-motor to help run the wheel chair by a joystick. The joystick controlled wheel chair is a bit difficult for certain people to operate. Mainly for old and weak people. Again, the voice controlled wheel chair is not suitable at all situation because of noisy environment and sound. It is also difficult to give command for old or weak people. Moreover this wheelchair is costly. So our proposal is to make such a cost effective electronic gesture based wheel chair which will be easy to operate rather than the joystick input. In our proposal, we will show to control a wheel chair using in build gesture function of a smartphone and touch sensor. A special feature of our wheel chair is that, obstacles in front of the way of wheel chair can be detected which can avoid the collision between chair with that detected obstacle. Another feature of this chair is to use an IP camera that gives visual and acoustic information to the guardian of the riding people. The aim of this developed electric wheelchair is to provide easy and comfortable life for the handicapped people whose lower half of the body is paralyzed.