Smart Surveillance Eye

This project makes use of opencv library to capture camera images and detect intrusion using image comparison technique. Once the comparison is done and an intrusion, violence and weapon is found, it sends the streamed video from localhost to remote administrator over android phone. Admin can then t

Project Title

Smart Surveillance Eye

Project Area of Specialization

Artificial Intelligence

Project Summary

This project makes use of opencv library to capture camera images and detect intrusion using image comparison technique. Once the comparison is done and an intrusion, violence and weapon is found, it sends the streamed video from localhost to remote administrator over android phone. Admin can then take appropriate action and alert local security. Smart Surveillance is the use of automatic video analytics to enhance effectiveness of surveillance systems. This system maintains the security situation.

Project Objectives

The Project will identify:

1. Robbery.
2. Theft.
3. Arrest (To separate the arrest actions from this, because this is not threat).
4. Normal (So that normal action will be neglected)

This will give alert to the application.

Project Implementation Method

The Smart Multi surveillance system uses 3-tier architecture that comprises of client side, application localhost . The client side device needs only the browser or application. It will connect to localhost. The local host device mainly contains two modules one is localhost  and another is video or image processing. Two devices communicate with each other through localhost. Hence localhost is required. The main functioning of this is to handle the upcoming requests, check for validation and generate the response. The video  processing module is to detect intrusion, violent actions & weapons through camera module functioned by Raspberry Pi.

Benefits of the Project

1. Our system allows user to view videos even if  he is at some remote place. Due to http protocol usage, the application provides online video streaming functionality so that user can view the videos from web browser also i.e. through android device as well as user?s computer.

2. We do not require use of any additional hardware for image matching and intrusion detection.

3. Our system uses image matching technique, so it gives more precise and accurate results.

4. The user gets notified as soon as the intrusion is detected.Thus, the user can take appropriate action without any delay. Smart Multi surveillance is integrated with intelligent video movement detection analysis systems combine with alert system.

Technical Details of Final Deliverable

It will be a hardware and software based project consisting of Raspberry PI, and a React Native Application with detections done using Python OpenCV.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Peace and Justice Strong Institutions

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com