A presentation on

HAND GESTURE BASED SERVING ROBOT

Submitted to: Submitted by:Mr. Pankaj Chawla Himanshu SharmaH.O.D of Electrical Department Aditya Sharma

Sakshi Malav

TABLE OF CONTENTS1. About project 2. List of components and about them3. RF communication setup4. Working of transmitter and receiver circuits5. Working of project6. Camera 7. Future implementation8. Conclusion

About projectRobots makes our life easier, works done in less time. Recent development promises a wide scope in developing smart robots. Not only in industries robots have now reached door to door, helping us in households also. We have gesture based serving robot which serves people in restaurants, parties or household, controlled by our hand movements. We are making this project “Hand gesture based robot with camera” to ease the work while serving. For serving, it would take less time and make our work easy. We are using microcontroller, accelerometer for controlling our hand gestures. A camera fitted to get robot’s position and change it, when required. Communication between transmitter and receiver is done by RF Module .We have also made the same circuit in ‘proteus’ for testing, before implementation.

Components Used

1. Atemega8 microcontroller2. Accelerometer3. HT12D IC4. HT12E IC5. L293D IC6. RF Module7. Voltage Regulator8. Resistors and Capacitors

ATmega8 Microcontroller

• High-performance, Low-power Atmel, AVR 8-bit Microcontroller• 8K bytes of In-System Self-Programmable Flash program

memory • Endurance: 1,000 Write/Erase Cycles • 512 Bytes EEPROM• 23 Programmable I/O Lines • Two 8-bit Timer/Counters

Accelerometer• Digital Output • Low Power Current Consumption.• Low Voltage Operation:– Analog Voltage: 2.4 V - 3.6 V• Gesture Detection Including Shake Detection and Tap Detection• Robust Design, High Shocks Survivability• Environmentally Preferred Product• Low Cost

HT12D IC and HT12E IC

HT12E

L293D ICThe L293D is designed to provide bidirectional drive currents of up to 600-mA at voltages from 4.5 V to 36 V.It designed to drive inductive loads such as relays, solenoids, dc and bipolar stepping motors, as well as other high-current/high-voltage loads in positive-supply applications.

RF ModuleTransmitter Receiver

The RF module, as the name suggests, operates at Radio Frequency. The corresponding frequency range varies between 30 kHz & 300 GHz. The RF module comprises of RF Transmitter and RF Receiver. The transmitter/receiver (Tx/Rx) pair operates at a frequency of 434 MHz an RF transmitter receives serial data and transmits it wirelessly through RF through its antenna.

Voltage Regulator

This includes 78xx voltage regulators. The most commonly used ones are 7805 and 7812. Using 7805 gives fixed 5V DC voltage at required input in a circuit.

Resistor

Carbon resistor Metal film resistor Potentiometer

Capacitors

Electrolytic Capacitor Ceramic Capacitor Tantalum Capacitor

DC MotorsThis is a low cost DC motor suitable for most robotic and general applications. It has an output shaft with a hole for easy mounting of wheels or pulleys.  Output RPM: 100 rpm Input Voltage: 6-12 V Stall Current: 500 - 600 mA Shaft length: 2.4 cm

RF Communication Setup

From ATmega8

Working of receiver and transmitter

Transmitter and receiver circuit on PCB

Working of project

Circuit Diagram of Transmitter Circuit

Working

Circuit Diagram of Receiver Circuit

Camera used-How we have used camera?We used an android application named “MIRROR OP SENDER” and “MIRROR OP RECEIVER”. It requires 2 mobiles and that app to be installed in both. We only need to connect them through Wi-Fi. One mobile, fitted on robot will give us the image of what is going on guests/order site. And from another mobile we will be able to see it. So, it is works like a camera.

YOUTUBE LINK

• Copy the URL and paste in YOUTUBE• https://youtu.be/zyG0Y11ZDN8

SLIDESHARE LINK:http://www.slideshare.net/himanshurkk/hand-gesture-based-serving-robot

Future ImplementationsThis project can be further implemented by various ideas:1. Sign language recognition instead of accelerometer.2. Controlling through facial gestures.3. Remote controlling.4. We could also imply an idea of telling/speaking/recording the order what has

been given by the guests.

Conclusion

In the race of man v/s machine, hand gesture controlled simulation comes as an example of companionship of man and machine. The project “Hand Gesture Control Robot”, is implemented by using highly advanced IC’s and with the help of growing technology the project has been successfully implemented. To avoid physical hardship to the user come the accelerometer to the rescue as with the slight twist of the finger the user gets the ability and freedom to turn the robot into the desired direction. A camera is also made to work along it. Using some other implementations, consumers can be served very easily and efficiently at home or workplace and according to their need.So, the project is overall successfully implemented.

Thank you