Face recognition with pi
- 1. A presentation on: Face recognition with raspberry pi GUJARAT TECHNOLOGICAL UNIVERSITY C. K. PITHAWALA COLLEGE OF ENGINEERING AND TECHNOLOGY
- 2. Prepared by: Group no-5 Sr. no. Name of student Enrollment 1. Dimple Balasara 120090111055 2. Hetvi Naik 130090111055 3. Vatsal Champaneria 140093111005 4. Krunal Parmar 140093111017 5. Khushbu Raj 140093111033 Guided by: Dr. Mita Paunwala
- 3. Central Idea A SYSTEM FOR FACE DETECTION AND RECOGNITION BASED ON RASPBERRY PI WITH MATLAB PROGRAMMING TO CONTROL THE GATE.
- 4. Problem statement • Now-a-days security is most required thing. • Biometrics gives options of verification based on physical feature. Face recognition is solution of it.
- 5. Introduction ► A facial recognition system is a computer application for automatically identifying or a verifying a person from a digital image. ► Face detection locate face in whole frame. ► Input image is matched with database images. Authentication is given accordingly. ► Face recognition system is mainly used for security purpose.
- 6. Contd… Recognition is addition of two parts: 1) Face Detection 2) Face recognition
- 7. Face Detection ► Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. ► BUT HOW?? • There are many options available for face detections. Nos. of algorithms, methods and hardware for this type of task.
- 8. Face detection Algorithm • Face detection can be performed based on several cues: ⮚ skin color ⮚ motion ⮚ facial/head shape ⮚ facial appearance or ⮚ a combination of these parameters. ⮚ Most successful face detection algorithms are appearance-based without using other cues. ⮚ The common processing is done as follows: ⮚ An input image is scanned at all possible locations and scales by a subwindow. ⮚ Face detection is posed as classifying the pattern in the subwindow as either face or nonface. ⮚ The face/nonface classifier is learned from face and nonface training examples using statistical learning methods
- 9. CONTD… ⮚ There are many face detection algorithms to locate a human face in a scene as follows: 1. Viola Jones Face Detection Algorithm 2. Local Binary Pattern (LBP) 3. AdaBoost Algorithm for Face Detection. ⮚ WHY VIOLA JONES ALGORITHM?? • It is more adaptive and practical algorithm. • It is learning algorithm. • It has high accuracy of output.
- 10. Viola Jones algorithm ► The Viola–Jones object detection framework is the first object detection framework to provide competitive object detection rates in real-time. ► The algorithm has four stages: 1. Haar Feature Selection 2. Creating an Integral Image 3. Adaboost Training 4. Cascading Classifiers
- 11. Haar features and integral image
- 13. PROCESS ON IMAGE
- 14. Face Detection Input from camera Feature extraction Feature vector Face detected? Haar cascade algorithm Detected face highlighted NO YES Face database
- 15. OUTPUT
- 16. MATLAB ► MATLAB stands for “MATrix LABoratory.” ► It is software package for numerical computation and visualization. ► It has numerous inbuilt functions. ► It is user friendly with various tools.
- 17. Hardware platforms ► WHAT IS AND WHY RASPBERRY PI?? • New hardware system for human face detection is raspberry pi it is credit card size computer with components mount on its motherboard, running a dedicated version of windows. It plugs in TV and keyboard. It is capable to work as small computer which can fit into electronic device. • Less power consumption • No moving parts • Small size • Status lights • Cost • Multiple usage
- 18. Raspberry Pi GERENIC DIAGRAM HARDWARE PHOTO CPU/GPU USB HUBI/O ETHERNET RAM
- 19. Contd…. ⮚ Raspberry pi has many models: o Model A o Model B ( pi 1) o Model B+ (pi 1) o Model B+2 (pi 2) o Model B+3 (pi 3)
- 20. WHY PI B3?? ❑ SoC: Broadcom BCM2837 ❑ CPU: 4× ARM Cortex-A53, 1.2GHz ❑ GPU: Broadcom Video Core IV ❑ RAM: 1GB LPDDR2 (900 MHz) ❑ Networking: 10/100 Ethernet, 2.4GHz 802.11n wireless ❑ Bluetooth: Bluetooth 4.1 Classic, Bluetooth Low Energy ❑ Storage: micro SD ❑ GPIO: 40-pin header, populated ❑ Ports: HDMI, 3.5mm analogue audio-video jack, 4× USB 2.0, Ethernet, Camera Serial Interface (CSI), Display Serial Interface (DSI)
- 21. Setup
- 22. On 1st boot of PI
- 23. Haar cascade with Pi This is the basic idea of whole interfacing. The laptop will have program on which the raspberry pi will work. The pi camera will work as input device. The display of monitor as output display. The memory card here is used as database.
- 24. Yet further work ► Even sem work plan: Image Storing Own Database Face recognition Motor interfacing