Security Surveillance Monitoring System Using Open CV

Authors

  • Krishnakanth Burugu  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • Vivekvardhan Dodda  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • Venkatesh Rajmoor  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • Sujeeth Chandra Yerra  Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
  • Dr. Sunil Bhutada   Professor, Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

Keywords:

Face identification, OpenCV, LBPH Algorithm, HaarCascade, Monitoring, ComputerVision.

Abstract

The Project Security Surveillance Monitoring System Using OpenCV is based on Monitoring the persons with the help of Desktop’s Web Camera. It has a graphical user Interface window which has several advanced features unlike normal surveillance cameras. Some of the features include Monitoring (which identifies the stolen Objects. When a thief enters the room and steals some objects it makes some buzzing sound. And warns the owner). Identifying (Face Identification of known and unknown persons with some accuracy). Noise detection (It generally detects the motion of a person). In and Out feature (it generally detects the person either entered into the room or gone out of the room through directions either the person moves in left or right).Finally Live recording and capturing the Video is the same as normal Surveillance Cameras. This application mainly uses some of the OpenCV functions and some face detection algorithms such as Haarcascade, LBPH etc. and it also uses Computer Vision which allows computers to watch or it gives vision capability to computers.

References

  1. Pravin Khandagale, Anant Chaudhari, Amol Ranwade & Prof.P.M.Mainkar, “Automated Video Surveillance to detect suspicious Human Activity”, Academia
  2. Ramadan TH. Hasan, Amira Bibo Sallow, “Face detection and recognition using OpenCV”, ResearchGate
  3. Swati Sucharita Barik, Sasmita Nayak, “Human Face Recognition using LBPH face recognition algorithm”, ResearchGate
  4. Shubham Mishra, Mrs Varsha Verma, Dr. Nikhat Akhtar, Shivam Chaturvedi & Dr. Yusuf Perwej, “An Intelligent Motion Detection System Using OpenCV”, Academia
  5. Naveen Kumar Mahankali, Vadivel Ayyasamy, “OpenCV for Computer Vision Applications”, ResearchGate
  6. Pranjal Datta, “All about Structural Similarity Index (SSIM)”, SRM MIC
  7. Vaibhav Hariramani, “Face Identification using Haar cascade classifier”, GEEKY BAWA
  8. Kelvin Salton do Prado, “Face recognition: Understanding LBPH Algorithm”, Towards  Data Science
  9. Programming Hut, “Introduction to OpenCV”, Youtube
  10. “Software Engineering | Classical Waterfall Model”, GeeksforGeeks

Downloads

Published

2022-06-30

Issue

Section

Research Articles

How to Cite

[1]
Krishnakanth Burugu, Vivekvardhan Dodda,Venkatesh Rajmoor, Sujeeth Chandra Yerra, Dr. Sunil Bhutada , " Security Surveillance Monitoring System Using Open CV, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.402-407, May-June-2022.