Automatic Dam Gate Control

Team Member Are :
Megha R - 4SO10EC056
Preeti Jasmine Tellis - 4SO10EC072
Prima Daisy D’Mello - 4SO10EC073
Shereen D’souza - 4SO10EC087

Project Guide: Dr. Savitha H.M. (Associate Professor) Abstract: Now- a- days water scarcity has become a serious problem in India and there are many factors responsible for this. But one major factor is the improper opening and closing of the dam gate according to the level of water in the dam. This is generally performed manually which can beerroneous. This project is an AT89S52 microcontroller based dam gate control system which helps in efficient operation of dam gate according to the level of water indicating the possibilities of flood in the surrounding. Theproposed mechanism of dam gate control system reduces water wastage. This system facilitates us to control the gates of the dam depending on the water level automatically and also to let the water out when necessary. Unique Features: • Two gates to control the level of water automatically • Use of a switch for manual operation • Display unit to indicate water level and the status of the gate • Caution alarm

Hand gesture recognition for speech and vision interpretation

Team Member Are :
Raksha A. - 4SO10EC074
Shravya S Rao - 4SO10ECO88
Sonali S - 4SO10EC090
Vinolia Nazareth - 4SO10EC101

Project Guide: Ms. Preetha D’souza, Assistant Professor Brief write up on the project: Computer recognition of sign language is an important research problem for enabling communication with hearing/speech/vision impaired people. The project introduces an efficient and fast algorithm for identification of the number of fingers opened in a gesture representing a word/number. The system does not require use of any special markers or input gloves on the hand. Initially, the background image is subtracted from the image with the gesture. The refined and processed output is given as an input for Clipping. Clipping is used to cut a section through the data (image) and image contents that pertain to the area of interest are retained. The image obtained is cropped and resized. The gesture is then compared with the gestures in the data base and recognized. Finally, text is converted to speech. Main/unique features: • Gesture is recognised using matlab software. • Text to speech conversion is performed by a hardware module consisting of TTS256 and Speakjet . • Allows communication between speech/hearing and vision disabled people.

Segregation Of Spinning Cops According To Its Color

Team Member Are :
Pooja G.K. - 4so10ec064
Prajwal - 4so10ec066
Vittala - 4so10ec102
Zeba Ali - 4so10ec106

Project Guide: Mr. Vijay Ganesh Pc, Assistant Professor, ECE Department Abstract: In this project, we focus on segregation of spinning cops based on colour automatically. Currently most Textile mills in India separate cops manually. In existing automation method, a robotic arm is used to segregate the cops. Segregation using robotic arm is time consuming and is very expensive. In this project, we replace the robotic arm with a simple stepper motor which reduces the cost drastically. We capture the image of the cops by using webcam and process it by using various image processing techniques. Finally a stepper motor is used to direct the cops to the corresponding box. We track the object using a web cam. Using the Hue Saturation and Intensity values, we determine the color of the object. Finally the stepper motor directs the object to its corresponding box. Brief Overview Of The Project: • In this project we segregate spinning cops based on its colour automatically. • In existing automation method, a robotic arm is used to segregate the corps. Segregation using robotic arm is time consuming and is very expensive. • In this project, we replace the robotic arm with a simple stepper motor which reduces the cost drastically. • Web Cam is used to track the object. • HSI values are used to determine the colour of the object. • Then the processor (Cubietruck) directs the stepper motor to rotate a certain number of steps so that it will direct the object to its corresponding box

Smart Street Light Monitoring and Control System

Team Member Are :
B Vimalesh Rao
Akshay P
Jayesh V Adhikari
Laster Don Menezes

Project Guide: Ms. Rashmi H , Assistant Professor, ECE Department Abstract: This project proposes a smart street light monitoring and control system which is a system designed to increase the efficiency and accuracy of electricity supply boards (KSEB/MESCOM) by time controlled switching of street lights. This project addresses the issue through a new economical solution of street light control systems. The control system consists of a GSM Modem, and control circuitry and the electrical devices. The system includes a fault monitoring circuit, which detects the fault in street lights. The project also includes website which has client server mechanism where electricity board employee can directly interact with web based application to control the street light of any area. The ultimate outcome of the project is a novel smart system that controls and monitors the street lights and prevents the wastage of power. Unique features: The proposed system helps in timely control of street lights which prevents wastage of power. The street lights can be turned on or off using websites from any remote place ( or any part of the world ). Faults in street lights are reported in the website, which eases maintenance of the street lights. The system provides cost effective solution for the prevention of wastage of power due to inappropriate maintenance of street lights. The reports about the monthly power consumption by street lights can be generated in the website using the database.

Haptic Interface To Control The Directional Movement Of Robot

Team Member Are :
Clavate Errol D’souza - 4so11ec407
Harsheel Chandan - 4so11ec410
Nishchitha - 4so11ec415
Shashidhara S - 4so11ec420

Project Guide: Mr. Gandhimathinathan, Assistant Professor, ECE Department Abstract: The Main Of Our Project Is To Create A Virtual Environment Such That Users Are Given The Illusion That They Are Actually Touching Or Manipulating The Real Physical Objects. Haptic Technology Adds A Sense Of Touch To The Virtual Environment. It Enables Human Interaction With Real, Virtual And Remote Environment. In This Project The Robotic Movement In Left And Right Directions Is Done With The Help Of Ir Sensors (Proximity Sensors). Haptic Is A Term Derived From The Greek Word, ‘Haptesthai’ Which Means ‘To Touch’. In Our Project We Have Used Sensors For The Movement Of The Robot In All Other Directions. It Can Be Used As Multipurpose Robot In Different Fields Such As Medical, Industrial And Agriculture Fields. It Reduces Man Power And It Consumes A Little Amount Of Power. Features: • Wireless Control Of Robot • The Robot Can Be Controlled In Many Directions Such As Front, Back, Left And Right. • Ask Transmitter And Receiver Are Used And Operated At 433mhz.

Obstacle Detection System For Visually Impaired

Team Member Are :
Abhijith S Rao - 4SO10EC001
Brandon Rodrigues - 4SO10EC027
Paul Sudhakar - 4SO10EC062
Rohitdas Mallya B - 4SO10EC107

Project Guide: Ms. Veena Devi V.S., Associate Professor, ECE Department Abstract: In developing countries like India, blindness is one of the major health problems. Cataract and corneal diseases are major causes of blindness in countries with less-developed economy. According to a recent survey, India is now home to nearly 10 million blind people. The oldest and traditional aidfor visually impaired is white cane or guide dog or both. The drawbacks of these aids are range of motion and very little information conveyed. Hence there is a need for a portable system that helps visually impaired to perform their daily routine activities. The main objective of the project is to develop a microcontroller based system that focuses on obstacle detection in order to reduce navigational difficulties. It senses the presence of obstacle and alerts the blind person. Here we present two systems one giving vibrations and audio cues and other giving pre-recorded voice alerts. Both systems use an ultrasonic sensor which detects obstacle and sends a signal to microcontroller. Microcontroller processes signal from ultrasonic sensor and computes obstacle distance. Based on obstacle distance, microcontroller can either activate buzzerto beep or DC motor to vibrate in one system andcan command to play appropriate voice in second system. If computed distance is in range 2 cm to 100 cm, buzzer beeps or tone 1 is played. If obstacle distance is in range 101 cm to 150 cm, DC motor rotates with a higher speed or tone 2 is played and if obstacle distance is in range 151cm to 250cm, DC motor rotates with a lower speed or tone 3 is played. The light weight, portability and cost effectiveness of both systems make them suitable for a visually impaired for indoor navigation. Features: • Functionality of the system is to detect obstacle in the way of the visually impaired, to compute the obstacle distance at that instant and to alert that person about the obstacle. • It provides an alternative to traditional means of detection such as a walking stick or a guide dog. • The user can travel to unfamiliar environments without any difficulty. • Success rate of detecting and avoiding objects is high. • System is independent of illumination. • High accuracy and never refuses to detect obstacles unlike dogs. • It is capable of detecting obstacles at a distance of 4m.

GSM Based Wireless Electronic Display Board

Team Member Are :
Daisy Jennifer Miranda
Glin Miral Rodrigues
Lenita Jenifer Menezes
Lolita Enned Sequeira

Project Guide: Ms. Preetha D’Souza, Assistant Professor, ECE Department Abstract: The use of Embedded System has given rise to many interesting applications in the field of communication. The main objective of this project is to develop a wireless board that displays the data sent from the user’s cell phone. The data sent by the user is received by a SIM loaded GSM modem. The GSM modem is interfaced to the microcontroller using MAX232. MAX232 converts RS232 voltage levels to TTL voltage levels, which will be compatible to the 8052 microcontroller’s TxD and RxD pins. The message so received is thus sent to the microcontroller that further displays it on the seven segments or LCD display board depending on the application. Here, a common cathode seven segment display and LCD display is interfaced with 8052. 8052 microcontroller is powered by a regulated power supply from mains supply of 230V ac. MAX232, LCD and seven segment display board uses +5V power source which is same as the source voltage for 8052. Main Features: • Combines the features of GSM and wireless communication. • Two display boards are used. Seven Segment Display is used to display the gold rates and LCD board is used to display gold rates as well as alphanumeric messages. • Instant message transfer is possible. • Password Authentication is provided. Hence, only authorized users can send messages.

BCI Control for Wheelchair Movement

Team Member Are :
Aparna R Bhat - 4SO10EC018
AshwiniShenoy M - 4SO10EC024
Disha D Shetty - 4SO10EC035

Project Guide: Dr. Savitha H M, Associate Professor, ECE Department Abstract: A Brain computer interface (BCI) is a system that allows direct communication between a computer and a human brain, bypassing the body’s normal neuromuscular pathways. Instead of depending on peripheral nerves and muscles, a BCI directly measures brain activity associated with the user’s intent and translates the recorded brain activity into corresponding control signals for certain applications. The signals recorded by the system are processed and classified to recognize the intent of the user. Though the main application for BCIs is in rehabilitation of disabled patients, they are increasingly being used in other application scenarios as well. One such application is the control of wheelchair movement. In this project we aim at designing and implementation of a brain controlled wheelchair using non-invasive signal acquisition method that will help a person with any extent of disability to attain self-independence at least in activities of his daily life. Features: • Non-invasive signal acquisition. • Wireless transmission via Bluetooth. • Cost effective and portable. • Mapping of brain signals to corresponding motor movements.

Solar Based Mobile Charger

Team Member Are :
Ashlesh Kumar
Amline Josna Dsouza
Amra Fathima
Yogish V. Hebbar

Project Guide: Ms Shama B N, Assistant Professor, ECE Department Abstract: With the existing push towards sustainable and clean sources of power, solar power has become the most popular source of alternative energy. The sun’s energy is harvested through solar panels which converts it into electricity. In this project, a solar based mobile charger is constructed along with a battery voltage analyzer. The sun’s energy harvested through solar panel is converted into electrical form and is stored in the rechargeable battery. The device is designed to give multi-voltage output of 12V, 9V and 5V. The battery is interfaced with a micro-controller to display the percentage of charge present in it on an LCD. The energy stored in the rechargeable battery can be used to charge a variety of devices including mobile phones, card readers, cameras, MP3 and DVD players and even low-wattage bulbs. This system is highly reliable, compact in size with low manufacturing and maintainance cost. Main Features: • Device uses solar energy as the source, which is renewable, clean and non-polluting. Hence it is eco-friendly. • The device is highly reliable, durable, robust and compact in size. • It has low manufacturing and maintenance cost. • The device is designed to give multi-voltage output of 12V, 9V and 5V with 1A current. • The excess power is stored in a rechargeable battery, the charge across which is analyzed and displayed on the LCD. • It can be used to charge a variety of devices including mobile phones and camera (digital as well as CC cameras) • It can be used to run MP3, CD and MD players • The device can also be used to charge batteries of portable DVD, smart card readers and emergency lights.

Street Light Monitoring System

Team Member Are :
Abhishek Shet - 4SO10EC002
Adhish Aithal - 4SO10EC004
Aldan Britto - 4SO10EC011
Arjun Sunil Rao - 4SO10EC021

Project Guide: Mrs. Nandini Maninarayana Asst. Professor, ECE Department Abstract: Conventional street lighting systems in areas with a low frequency of passersby are online most of the night without purpose. The consequence is that a large amount of power is wasted meaninglessly. With the broad availability of flexible-lighting technology like light-emitting diode lamps and everywhere available wireless internet connection, fast reacting, reliably operating, and power-conserving street lighting systems become reality. The purpose of this work is to describe the Smart Street Lighting (SSL) system, a first approach to accomplish the demand for flexible public lighting systems. The goal is to build a Intelligent street light controller for switching street light such that it provides excellent service with optimum energy utilization. In present day scenario power conservation or saving is one of the main issues of the country. Industry of the street lighting systems are growing rapidly and going to complex with rapid growth of industry and cities. To control and maintain complex street lighting system more economically, various street control systems are developed. There are many techniques to reduce the power consumption. We propose Street Light Management system as a way to reduce power consumption. Main features: • Automatically control things from a distance depending on a certain timing logic. For this we use a Real Time Clock (RTC) so that at certain time the street light gets automatically switched on i.e the street light will be OFF from 6:00 AM to 6:00 PM, then the street lights are triggered on by the RTC until 10:00 PM. After 10:00 PM the street light is switched ON/OFF according to the vehicles. • Fault detection is done using LDR as the detecting sensor. In recent past there had been many instances of accidents on the roads, at the crossings near the colonies for the fact that there were no streetlights ON in the night when the visibility of the driver is poor. Also there are no traffic lights for such unmanned colonies entrances and exits. • In the receiver end a Graphical User Interface is used so that the vehicle count, the status of the street lights are displayed. This is to be done using Visual Studio.