IOT Based Surveillance

In this project, an IOT-based embedded face detection and recognition with smart security system will be  designed which will be able to capture an image and send it to a smartphone. So, when a face is detected and recognized, the system will notify the user by using a smartphone and displ

Project Title

IOT Based Surveillance

Project Area of Specialization

Internet of Things

Project Summary

In this project, an IOT-based embedded face detection and recognition with smart security system will be  designed which will be able to capture an image and send it to a smartphone. So, when a face is detected and recognized, the system will notify the user by using a smartphone and displays who is he in that area. By adding the face recognition system, people will be easily recognized and a safer city will be built. Also, a solution is proposed to utilize computer vision in the IoT in
this project. Smartphone is the main benefit of this project which will be utilized by the client to obtain notifications with the captured images. This system will help to enhance and automate the security of industries, cities, homes and towns.

Project Objectives

The goal of this project is to design and develop an accurate, economical, and robust detection system for real-time surveillence. This system is very useful for reducing the cost of monitoring the movement from outside. In this project, a real- time recognition system will be designed that will equip for handling images very quickly. The main objective of this project is to protect home, office by recognizing people. And to overcome flaws in current system in the coressponding feild.

Project Implementation Method

The main objective of this project is to protect home, office by recognizing people. For this purpose, the PIR sensor is used to detect movement in the specific area. Afterwards, the Raspberry Pi will capture the images. Then, the face will be detected and recognized in the captured image. Finally, the images and notifications will be sent to a smartphone based IoT by using Telegram (or any other compatible) application. The proposed systems are real-time, fast and has low computational cost. The experimental results show that the proposed face recognition system can be used in a real time system.

For this project, LBPH algorithm is used to recognize faces. The result of LBPH algorithm is compared with PCA and LDA algorithm. The results show that LBPH method gives better results under lighting and pose variations. so we will continue and will use LPBH alogorithm for face detection in our project.

Benefits of the Project

The purposed approach will address the limitation of previously purposed approaches and image processing related problems. Previously a lot of research work is done in the field of surveillance through security cameras. Face recognition is used in many devices. There are a lot of algorithms available for face detection purpose. Surveillance is being done by systems using motion sensors and face recognition techniques. But a lot of these system show some common flaws which are:

• Accuracy in recognizing multiple people at same time

• Recognition of a moving person

• Accuracy of detecting a person if facial expression is changed

• High cost factor

We aim to target these flaws and propose a cost-effective solutions to these flwas with this project. Our product will be:

• Inexpensive
• Easy to install and integrate
• Non-invasive
• Able to give Better Results
• Able to give high accuracy
• Able to detect changing poses
• Able to improvise current surveillence systems using image detection

 The selected hardware is small and will be easy to install and integrate at any target location as compared to current surveillence system.

Technical Details of Final Deliverable

The end product will be Raspberry Pi based system which will detect people and provide security alerts. The end product will provide our users to attain better and more convinient surveillence in their homes, offices, cities, towns, etc.

The system will include Raspberry Pi hardware which is a small computer with a built in RAM and various ports including HDMI, USB 3.0, camera, voice and some others. A special Pi camera will be attached to this hardware to capture images. The display device will be connected through HDMI port. PIR sensor will be install using special port for this sensor on the hadware. Oparating system will be installed in the system using SD card and the same card will be used for primary data storage. For power this system will used 1.A-2.A power adapter which will be connected on the normal micro usb port. By using built-in Wifi facility, the system will and connect to the internet to send notifications and alerts to the user.  

The proposed end product will have following other details:

1. Inexpensive & Light weight System: The system will be based on Raspberry Pi hardware. The very first reason to use this integrated hardware is that the hardware is small and easy to carry and deploy anywhere with ease. Moreover, the hardware is inexpensive and corresponding periferals are also not very costly that will make system to be easiy affordable.
2. Hard real-time system: Another core benifit of using Raspberry Pi hardware is that, it will provide us with real-time processing of images that will help users to attain better surveillence. 
3. IoT-based system: The system will be IoT-based. It will send user notifications anf alerts by using a smart phone making the system more convinient to use regarding to current technology. 

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

IT

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), NeuroTech, Wearables and Implantables

Sustainable Development Goals

Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Peace and Justice Strong Institutions

Required Resources

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