Anomaly Detection Surveillance System project is used to reduce a robberies, thievery, breaking and entering to the house and stealing different important items and money of the people. Our system Anomaly Detection Surveillance System is to detect such like unusual activities whenever takes pl
Anomaly Detection Surveillance System
Anomaly Detection Surveillance System project is used to reduce a robberies, thievery, breaking and entering to the house and stealing different important items and money of the people. Our system Anomaly Detection Surveillance System is to detect such like unusual activities whenever takes place in the houses. It will inform the owner of the house and also starts an alarm to listen by other people which then take a quick action against it and inform the other government authorities. The system will capture an images and record a video whenever an intruder is detected In restricted area. Anomaly Detection Surveillance System will store the valid person data with itself then it will read these data and compare it with another one which is taking from a camera. It will find a difference between the valid person and unknown person by detecting his face and body language by comparing with the data which is trained by the system.
The objective of these project is;
To reduce or overcome theft action, attacking on houses stealing important goods from peoples houses.
To inform the owner of the house on time whenever some irrelevant activity is detected.
We use different algorithms for this project.
For face detection we use a Haar Cascade algorithms which detect faces from the a live camera feed.
For face recognition we use a Local Binary Pattern Histogram (LPBH) algorithm which recognize the faces of the humans.
We take help form the fomous computer vision library OpenCV in which we apply all these alogrithms.
This project system will inform the perosn (owner) on time whenever an unusual activity is detected by the system.
The owner will take action action on time against it. The main benefit is that there will be no big loss done.
Raspberry pi is used when to implement the system.
The camera with high quality is used for the detection of person and recognizing their faces and detecting of different activities such as offensive, distributive and unusual activties.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Logitech HD pro webcam C920 | Equipment | 300 | 50 | 15000 |
| Raspberry pi 4 model B 1GB | Equipment | 300 | 40 | 12000 |
| Total in (Rs) | 27000 |
Path planning for mobile robots is an important aspect of robotics. Path planning algorith...
Project Implementation Method (less than 2500 characters)
We want to deliver a project which helps the organization to manage time table, to manage...
This project is a solution to the real-time problem in Power Systems. A power transmission...
The identification of weapons concealed beneath any person outfit is a significant impedim...