Criminal Face Recognition using Raspberry Pi |
Author(s): |
| Gajanan Mule , Dr. D. Y. Patil School of Engineering and Technology, Pune; Shubham Gome, Dr. D. Y. Patil School of Engineering and Technology, Pune; Rushikesh Londhe, Dr. D. Y. Patil School of Engineering and Technology, Pune; Ankush Tarale, Dr. D. Y. Patil School of Engineering and Technology, Pune; Prof. Nutan Borkar, Dr. D. Y. Patil School of Engineering and Technology, Pune |
Keywords: |
| Raspberry Pi, Surveillance Camera, Haar Cascade, OpenCV |
Abstract |
|
This paper presents a real time face recognition using an automated surveillance camera. The present paper discusses about the detection of criminals with the help of the various devices and software. OpenCV (open source computer vision) is the major software that is being used in our present work. For detecting faces we are using various algorithms like Haar cascade, linear SVM, deep neural network etc. The main method that we have proposed in our work is, if any person comes in front of the camera, first it will look for potential matches that we have already stored in our system. If the module finds a match, then it continues to record until any person comes. If the face is recognized, then the criminal’s face will be captured and a snap shot will be sent to the admin’s email. The device is developed using Raspberry Pi b+ with 1.4 GHz quad core processor, raspberry pi camera module. |
Other Details |
|
Paper ID: IJSRDV8I40650 Published in: Volume : 8, Issue : 4 Publication Date: 01/07/2020 Page(s): 421-423 |
Article Preview |
|
|
|
|
