QUADCOPTER MONITORING USING FACIAL RECOGNITION Visvesva raya Technological University, Bel agavi. PROJECT REPORT on “QUADCOPTER MONITORING USING FACIAL RECOGNITION ” Project Report submitted in partial fulfillment of the requirement for theaward of the degree of Bachelor of Engineering in Electronics and Communication Engineering For the academic year 2019-20 Submitted by USN Name 1CR16EC080 MEGHANA R 1CR16EC104 PALLAVI KN 1CR16EC120 RAJALAKSHMI R 1CR16EC133 RESHMA Under the guidance of MRS. ASWINI.N Assistant professor Department of ECE CMRIT ,Bengaluru Department of Electronics and Communication Engineering CMR Institute of Technology, Bengaluru – 560 037 QUADCOPTER MONITORING USING FACIAL RECOGNITION DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING CERTIFICATE This is to certify that the dissertation work “QUADCOPTER MONITORING USING FACIAL RECOGNITION”carried out by MEGHANA R, PALLAVI KN, R AJALAKSHMI R ,RESHMA USN: 1CR16EC080, 1CR16EC104, 1CR16EC120, 1CR16EC133 and bonafide student s of CMRIT in partial fulfillment for the award of Bachelor of Engineering in Electronics and Communication Engineering of the Visvesvaraya Technological University , Belagavi,during the academic year 2019- 20 . It is certified that all corrections /suggestions indicated for internal assessment have been incorporated in the report deposited in the departmental library. Theproject report has been approved as it satisfies the academic requirements in respect of Project work prescribed for the said degree. Signature of Guide Signature of HOD Signature of Principal _________________ _________________ __ ________________ Mrs. Aswini.N, Dr. R. Elumalai Dr. Sanjay Jain Assistant professor, Head of the Department, Principal, Dept. of ECE., Dept. of ECE., CMRIT , CMRIT ,Bengaluru. CMRIT ,Bengaluru. Bengaluru . External Viva Name of Examiners Signature & date 1. 2 QUADCOPTER MONITORING USING FACIAL RECOGNITION ACKNOWLEDGEMENT The satisfaction and euphoria that accompany the successful completion of any task would be incomplete without the mention of people who made it possible, whose consistent guidance and encouragement crowned our efforts with success. Weconsider it asour privilege to express the gratitude to all those who guided in the completion of the project. Weexpress my gratitude to Principal, Dr. Sanjay Jain, for having provided me the golden opportunity to undertake this project work in their esteemed organization. Wesincerely thank Dr. R. Elumalai ,HOD , Department of Electronics and Communication Engineering, CMR Institute of Technology for the immense support given to me. Weexpress my gratitude to our project guideMRS.ASWINI. N, Assistant professor, MRS.PAPPA.M, Associate professor & program coordinator,MR. MANOHARVALLETI,Assistant professor for their support, guidance and suggestions throughout the project work. Last but not the least, hearty thanks ourparents and friends for their support. Above all, Wethank the Lord Almighty for His grace on us to succeed in this endeavor. Department of ECE, CMRIT, Bangalore 2019-20 3 QUADCOPTER MONITORING USING FACIAL RECOGNITION Table of contents ABSTRACT ......................................................................................................................... 7 CHAPTER 1 ........................................................................................................................ 8 INTRODUCTION ............................................................................................................. 18 CHAPTER 2 ...................................................................................................................... 12 LITERATURE SURVEY .................................................................................................. 12 CHAPTER 3 ...................................................................................................................... 13 3.1 KK 2.1.5 MICROCONTROLLER .............................................................................. 13 3.2 BRUSHLESS DC MOTOR ......................................................................................... 14 3.3 GYRO AND ACCELEROMETER SENSOR............................................................. 14 3.4 ZIGBEE ....................................................................................................................... 14 3.5 LIPO BATTERY ......................................................................................................... 15 3.6ELECTRONICAL SPEED CONTROLLER ................................................................ 17 CHAPTER 4 .................................................................................................................... 188 SOFTWARE .................................................................................................................... 188 4.1 RASPBERRY PI MODULE...................................................................................... 188 4.28 MP MONOCULAR CAMERA ............................................................................... 189 4.3 32 GB SD CARD ....................................................................................................... 189 4.4 3.5 TOUCH SCREEN DISPLAY ............................................................................... 21 4.5PYTHON 3.6 .............................................................................................................. 218 4.6 OPEN CV................................................................................................................... 218 4.7RASPBIAN OS ........................................................................................................... 218 4.8LPC2148 MICROCONTROLLER ............................................................................... 23 4.9 GPS LITE MODULE .................................................................................................. 24 Department of ECE, CMRIT, Bangalore 2019-20 4 QUADCOPTER MONITORING USING FACIAL RECOGNITION 4.10 20X4 LCD MODULE................................................................................................ 25 4.11 GSM800A SIM CARD .............................................................................................. 26 4.12 FLAME SENSOR .................................................................................................... 187 4.13 KEIL M4 .................................................................................................................. 188 4.14 FLASH MAGIC....................................................................................................... 188 CHAPTER 5 ...................................................................................................................... 30 5.1QUADCOPTER ............................................................................................................ 30 5.2 IMAGEPROCESSING ................................................................................................ 30 5.3 SENDING ALERT ...................................................................................................... 31 CHAPTER 6 ...................................................................................................................... 33 RESULTS AND DISCUSSION6 ...................................................................................... 33 CHAPTER 7 ...................................................................................................................... 33 APPLICATION AND ADVANTAGES5 ......................................................................... 34 7.1APPLICATION5 .......................................................................................................... 34 7.2ADVANTAGES5 ......................................................................................................... 35 CHAPTER 8 .................................................................................................................... 377 CONCLUSION AND FUTURE SCOPE ........................................................................ 377 REFERENCES ................................................................................................................ 388 APPENDIX A .................................................................................................................. 399 Department of ECE, CMRIT, Bangalore 2019-20 5 QUADCOPTER MONITORING USING FACIAL RECOGNITION LIST OF FIGURES Figure no. Title Page no. FIG 3.1 KK 2.1.5 MICROCONTROLLER 13 FIG 3.2.1 BRUSHLESS DC MOTOR 14 FIG 3.2.2 PROPELLERS 14 FIG 3.5.1 LIPO BATTERY 15 FIG 3.6.1 ELECTRONICAL SPEED CONTROLLER 16 FIG 4.1.1 RASPBERRY PI MODULE 18 FIG 4.2.1 8 MP MONOCULAR CAMERA 19 FIG 4.3.1 32 GB SD CARD 19 FIG 4.4.1 3.5 TOUCH SCREEN DISPLAY 20 FIG 4.8.1 LPC2148 MICROCONTROLLER 23 FIG 4.9.1 GPS LITE MODULE 25 FIG 4.10.1 20x4 LCD MODULE 26 FIG 4.11.1 GSM800A SIM CARD 27 FIG 4.12.1 FLAME SENSOR 28 FIG 4.13.1 KEIL M4 29 FIG 5.1 METHODOLOGY 30 FIG 5.1.1 DRONE 31 FIG 5.3.1 SENDING ALERT 32 FIG 6.1 PROTOTYPE 33 FIG 6.2 MEGHANA DETECTED 33 FIG 6.3 RAJ DETECTED 34 FIG 6.4 ALERT MESSAGE SENT 34 Department of ECE, CMRIT, Bangalore 2019-20 6 QUADCOPTER MONITORING USING FACIAL RECOGNITION ABSTARCT Maintaining surveillance is no easy job, neither is chasing criminals nor looking for kids or elderly people who are lost in crowded areas. This report aims to propose a viable solution for the aforementioned issue. The proposal encompasses the working of an Unmanned Aerial Vehicle (UAV) with an add-on of face recognition software. Unmanned Aerial