Intruder Detection

-20%

Intruder Detection

0 Orders 0 Wish listed

₹4,999.00

Qty

Total price:

₹4,999.00

Overview
Reviews

Detail Description

1. Abstract

The Intruder Detection System is a security-based project designed to identify unauthorized individuals entering restricted areas using computer vision and motion detection techniques. The system analyzes live camera footage or recorded video to detect suspicious entry and generate alerts when an intruder is identified. It can be used in homes, offices, warehouses, laboratories, and other secured environments to improve surveillance and support faster security responses.

2. Objectives

Detect unauthorized entry into restricted areas.
Monitor live video streams or recorded footage.
Identify human movement in monitored zones.
Generate alerts when suspicious entry is detected.
Maintain detection logs for security review.
Improve surveillance efficiency and reduce manual monitoring.

3. Existing System

Traditional security systems primarily depend on security guards, CCTV monitoring, and basic motion sensors. These methods may require continuous human attention and can miss suspicious activities when monitoring personnel are unavailable.

Disadvantages

Requires continuous manual monitoring.
Basic motion sensors may trigger false alarms.
Reviewing recorded footage can be time-consuming.
Limited ability to automatically identify human presence in restricted areas.

4. Proposed System

The proposed system uses computer vision and motion detection to monitor designated areas and identify possible unauthorized entry. When a person is detected in a restricted zone, the system can trigger an alert and record relevant event details for further verification.

5. Implementation Procedure

Collect live camera input or sample surveillance videos.
Configure the restricted monitoring area.
Process video frames using Python and OpenCV.
Detect motion or human presence using suitable computer vision techniques.
Identify entry into the designated restricted zone.
Generate alerts and save detection timestamps.
Test the system under different lighting and movement conditions.

6. Software Requirements

Programming Language: Python
Computer Vision Library: OpenCV
Image Processing: NumPy
Development Environment: VS Code, PyCharm, or Jupyter Notebook
Optional Interface: Flask or Streamlit
Input Source: Webcam, CCTV stream, or sample video

7. Hardware Requirements

Processor: Intel Core i3 or equivalent and above
RAM: Minimum 4 GB; 8 GB recommended
Storage: 500 GB HDD or equivalent SSD capacity
Camera: Webcam or compatible surveillance camera
Display: Standard monitor
Network: Required for remote camera access or notifications, if implemented

8. Advantages of the Project

Supports automated surveillance.
Helps identify possible unauthorized entry.
Reduces the need for continuous manual observation.
Provides event logs for later review.
Can be extended with email or mobile notifications.
Suitable for home, office, and industrial security demonstrations.

No review given yet!

Fast Delivery all across the country

Safe Payment

7 Days Return Policy

100% Authentic Products

Shopping cart