Bus Alert System for Blind

Team Member Are :
Anjaneya B Anirudh
Meenu Mary Jacob
Remya George
S Divya

Project Guide: Ms Padmini Bhat, Assistant Professor, ECE Department Abstract: A bus alert system for the visually impaired is designed. This system could also be utilized by the elderly, illiterate and even foreigners. RF technology is used for designing this project. The bus and the blind unit use a 2.4GHz RF transceiver. The bus unit transmits its destination to the blind unit. Simultaneously it is announced in the blind unit which incorporates a voice IC. A request signal is sent if the blind desires to board the bus. The entire system is controlled by PIC16F877A microcontroller. In case of emergency situations a GPS-GSM module is utilized to aid the visually impaired Main Features of the Project • It is an automatic system where the inputs or the bus routes can be selected easily using selection keys. • The most popular PIC microcontroller (PIC16F877A) is used as the control unit in the entire system. • CC2500 (model #: 3478) with 30 meter range is used as the transceiver (FSK) for wireless transmission of data. • 2.4GHz license free ISN band is used for transmission. • A request switch is pressed if the blind desires to board the bus. • AP89341 voice IC which store up to 254 voice groups is used for the voice playback in the system. • In case of emergency an emergency switch is provided to send the current location of the blind. Conclusion and Future Scope: This system is designed to aid the visually impaired people. Initially the system requires the bus to stop whenever there was a blind person in the station. The system was modified in such a way that the bus stops only when the blind sends a request signal. The initial design was modified to assist the blind in emergency situations, by incorporating GPS-GSM module. The proposed system only helps the visually impaired to reach the destination, it does not assist in navigation. Further improvement can be done by notifying the blind when the destination is reached. This could be done using a message alert. The system can be implemented only in one way bus stations, it can be extended to be deployed in a large bus station. System can be modified to make it more cost efficient by choosing alternate efficient technologies in near future.

Automated Wheelchair

Team Member Are :
Riyola Vela D’Souza - 4SO11EC098
Shetty Harshetha Yashodhar - 4SO11EC110
Shilpa S Shetty - 4SO11EC112
Shruthi U B - 4SO11EC127

Project Guide: Ms. Veena Desai, Assistant Professor Abstract: he wide spread prevalence of lost limbs and sensing system is of major concern in present day due to accidents, age and health problems. Physically disabled people may find using a conventional wheel chair cumbersome as they cannot manipulate the direction of the wheelchair with their hands due to lack of force. To assist people with such defects an automated wheelchair system is proposed which has dual input modes for control of operation and navigation in familiar environments. The movement of the wheelchair is controlled by means of human voice and touch. This cost effective system will enable a disabled person to move around independently without any discomfort or inconvenience. Overview: In this project, the wheelchair can be controlled through voice or touch based inputs. A switch is provided to choose between the two input modes. User can control the direction of movement of the wheelchair by either speaking out the required commands to the voice recognition module or by pressing the required key on the touch module. The voice and touch module are connected to a microcontroller which does the processing of the input signals and generation of the corresponding output signals. The output from the microcontroller is given to a motor driver which is used to drive the DC motors in the direction intended. The DC motors are connected to the wheels if the wheelchair. The commands used to move the wheelchair are: Front, Back, Left, Right and Stop. Once a command is given, the wheelchair continues to move in the same direction until the next command is given. The shortcomings of a conventional wheelchair are thus overcome as the automated wheelchair enables a person to move around independently without any discomfort or inconvenience. Automated wheelchairs can be used in hospitals, clinics and even at homes by disabled or elderly people. The system has two modes of operation. The user can choose between voice input and touch input to control the wheelchair. A switch is provided to choose between the two modes of operations. The voice module consists of a microphone and a voice recognition IC. The microphone is embedded on the voice recognition kit. The output signals from the voice module are given to the microcontroller. The touch module consists of a keypad which is interfaced with the microcontroller. When the user chooses voice mode as input, then the appropriate commands has to be uttered to the microphone. When the user chooses touch as the input mode then the required key for the intended direction has to be pressed. The input commands are processed by the microcontroller which generates the required output. The microcontroller is connected to a motor driver module which drives the DC motors in the intended direction. The purpose of using a driver module is to get optimum level of current for the correct operation of DC motors. The DC motors are connected to the wheels of the wheel chair through a shaft. The rotation of motors depends upon the commands given by theuser. A 12V rechargeable battery is used as supply voltage. The commands that can be given are Front, Back, Left, Right and Stop. Summary: The automated wheelchair designed takes in either voice or touch as the input mode of operation. Depending upon the commands given by the user, either by voice utterances or by press on the keys of the keypad the wheelchair moves in the intended direction. The automated wheelchair is programmed to move in front, back, left or right direction and can also be stopped as and when required. Thus, the user can move around independently in the wheelchair without any discomfort or inconvenience.

Voice controlled robot with obstacle detection

Team Member Are :
Dheeraj K (4so11ec038)
Joy John Pinto (4so11ec056)
Kiran N (4so11ec058)
Manjunath S Dhople (4so11ec064)

Project Guide: Ms Rashmi H, Assistant Professor, Department of Electronics and Communication Engineering. Abstract: We are living in an electronic era. An era where robots and other electronic equipments are likely to replace human beings in all kind of tasks, where there is a threat to human life. Speech recognition technology is a great aid to admit the challenge and it is a prominent technology for Human-Robot Interaction (HRI) for the future. In this project we are going to demonstrate a voice controlled robot with obstacle detection. Voice controlled robot is a mobile robot whose motions can be controlled by the user by giving specific isolated voice commands. In the proposed system voice commands are fed to the microphone of the computer and the speech processing is done using matlab software. The features of voice command is extracted using Mel Frequency Cepstral Coefficients (MFCC) and feature comparison is done through Dynamic Time Wrapping (DTW) algorithm. The features with closest match are assigned with corresponding digital values which are encoded and transmitted through RF wireless transmitter. At the receiver those data bits are received through RF receiver and they are decoded. The microcontroller also checks for the obstacle detector output so that any collision on the way can be avoided. Then based on these data bits the wheels of the robot are controlled through L293D motor driver and the movement of the robot is automatically changed when obstacle is detected. Main Features: • The project has two sections:-Controller at transmitter side and a robot at receiver side. • The robot is controlled by authenticated voice/speech command at controller side. • The controller can alternately work using GUI. • The robot can detect obstacle and change direction of movement. • The distance between transmitter and receiver can be up to 50 meters for good functioning. • The robot can be upgraded using wireless webcam that facilitate two way communications. • It can be used in the areas where direct presence of humans is not advisable such as in hazardous places containing harmful chemicals etc.

Infrastructure management: leak detection in water distribution system

Team Member Are :
Naveen G K
Nishith Benhur Wartika
Shreevatsa M
Swapnil Raj

Project Guide: Ms Rashmi H, Assistant Professor, Department of Electronic & Communication Engineering Introduction: Water leakage is a significant problem causing water loss in water distribution systems. This water leakage is a result of inefficient pipeline management, use of corroded pipes and many such reasons leading to shortage of water, which is a major concern for the distribution authority. Hence it is important to respond to the leak in real time scenario. In this project we have designed a model that will detect and respond to such situations. During water leakage, real time transmission of information at dynamically changing environment should be achieved. This can be done using Wireless Sensor Networks (WSN) technology. Here water flow sensors are used to detect water leak in distribution system by observing change in flow rate. The sensor data is processed using microcontroller and transmitted using a RF module to the server. At the server the data is processed and transmitted to the user using GSM module and the authorized person is notified about the presence of leak in a particular section of the pipeline, hence providing an edge for the authorized person to respond to the situation at the earliest. Working principle: In this project, water flow sensors are used to detect water leak in water distribution system. Water flow sensor sits in line with the water distribution system and contains a pinwheel sensor which measures how much liquid has moved through it. There's an integrated magnetic hall effect sensor that outputs an electrical pulse with every rotation. Water flow sensor generates pulse signal whose pulse width changes according to the change in water flow rate. This change in number of pulses is monitored by the microcontroller and relevant data is transmitted to the server system using a RF transmitter. At the server system, the data is processed and transmitted to the user using GSM module and the authorized person is notified about the presence of leak in a particular section of the pipeline. Advantages: • Increased knowledge about the distribution system,which can be used to respond more quickly to emergencies and to set priorities for replacement programs. • More efficient use of existing supplies and delayed capacity expansion. • Improved relations with both the public and utility employees. • Reduced property damage, reduced legal liability. • Reduced risk of contamination. • It results in advanced metering technology. • Helps in early warning alerts & 24 hour monitoring. Limitations: • The RF transmission and reception range is limited to 15-20 meters. • After the sensor system S3 detects the presence of water leak, the time synchronization between the three sensor systems is not maintained. . Future work: • The problem of time synchronization between all three sensor systems can be overcome by sending an acknowledgement back to server system from the user indicating that the detected water leak has been repaired. The server system then has to send a RF signal to all the sensor system in order to achieve the time synchronization. • The system can be improved by using non-invasive methods (by using Force sensitive resistor) which eliminates the need to cut water pipelines to fit the water flow sensors in it. • Android / Visual Basic based application can be developed for Smart Phones/ Tabs for graphical representation of water monitoring. • Monthly or annual billing system can be implemented.

Automatic Door Control System Using Speech Recognition

Team Member Are :
Anusha R Salian

Project Guide: Ms Jennifer C Saldanha, Assistant Professor, Department of Electronics and Communication Engineering Abstract: The project aims at door control system using speech recognition. It involves both software and hardware. Software part involves speech recognition which is done using MATLAB to control the door. Speech recognition consists of two steps. They are feature extraction and classification. It is implemented using Perceptual Linear Predictive (PLP), Vector Quantisation (VQ), Support Vector Machine (SVM) classifier and k-Nearest Neighbour (k-NN) Classifier. The vector quantized values are saved in excel and is called as codebook which is loaded back in recognition phase. After the speech is recognized command from MATLAB is given to microcontroller through USB to UART module. The AT89C52 microcontroller gives control signal to motor driver IC L293D. This IC is used to drive geared DC motor. The geared dc motor monitors the opening and closing of the door. The position of door is monitored using two switches. The results of classification by both techniques are compared and are found out to be equally efficient. The project is built with minimal hardware and is cost efficient. The future aspects of the project are to improvise classification using HMM classifier. In the hardware part the system can be modified with locking mechanism of the door with reed switches. Main Features • The software part contains speech recognition algorithms. • Speech recognition involves two main processes. They are enrolment and testing. • Enrolment process involves registration of word by training his/her voice features. Verification process involves verification of speaker by comparing his/her current voice features with pre-stored features. • Speech recognition involves two main phases. They are Feature Extraction and Recognition. • For feature extraction Perceptual Linear Prediction (PLP) algorithm is used Mel Frequency Cepstral Coefficient (MFCC) is also been used just for comparison. • k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM)classifiers are used in recognition phase. • Hardware part consists of microcontroller which is used to rotate the motors in both direction which in turn performs opening and closing of the door. • The procedure can be extended to speaker recognition which can be implemented to provide security to the door.

Integrated meter

Team Member Are :
Mohammed Safwan - 4so11ec074
Panchami D S - 4so11ec086
Raksha Janet Jathanna - 4so11ec094

Project Guide: Dr Savitha H M, HOD, Department of ECE Abstract: The refinement of knowledge in the field of science and technology has notably led to the cause of modernization. Due to these emerging advancements, miniature instruments have outnumbered the unwieldy and bulky ones. The increasing requirement in accuracy has led to the increase in the complexity and cost of maintaining the calibration of these electronic instruments. Many of the external reference standards that have traditionally been maintained and used by metrology laboratories for calibration are being replaced by digital circuitry and algorithms that can achieve comparable results. Electronic measuring equipments are an inevitable part in the toolbox of any engineer. Although several attempts were made in this regard, with the incorporation of tantalizing features, these tools have become costlier and bulkier. Also, the advanced features of these commercially available tools are often underutilized by the students. The Integrated Meter (IM) thus offers an efficient way to combine the essential features of waveform analyzer, multimeter and signal generator which can be used for testing and troubleshooting in electrical and electronic domain. It also fulfills the requirements of affordability, portability and cost effectiveness of the instrument. Main features of IM: • When the IM is switched on, the user selects the mode of operation through the keypad i.e. the device is switched to act as a multimeter, waveform analyzer or a function generator depending upon the given input. The output is then displayed on a 16x2 Liquid crystal display. • The multimeter part of IM measures the voltage, current and the resistance of the input signals. o The Voltmeter is capable of measuring voltage in the range of 0 to 30V in steps of 0.1V. o The Ammeter is capable of measuring current in the range of 0 to 10A in steps of 0.01A. o The Ohmmeter is capable of measuring resistance in the range of 0 to 50KΩ in steps of 1Ω. • The Waveform Analyzer part is capable of measuring peak to peak voltage in the range of 0 to 10V in steps of 0.1V and frequency in the range of 200Hz to 50 KHz in steps of 1Hz. • The function generator is capable of generating a signal with a voltage range of 0 to 10Vpp in steps of 0.1V and frequency range of 1Hz to 20 KHz in steps of 10Hz. IM will thus allow a student to exploit every aspect of its application which will help them develop their technical skills and make testing and troubleshooting easy. The device is made cost effective by implementing the functions as a program on a PIC microcontroller which is the heart of the device. The main aim of the project is to make this equipment available like a calculator to every engineering student.