Raspberry Pi based Autonomous Webcam Robot

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Raspberry Pi based Webcam Robot

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Description

ABSTRACT

Monitoring of homes has seen a growing need in emerging times. By means of this paper, we put forward a Webcam robot which can be integrated into any kind of household. The base controller of the robot will be the powerful Raspberry Pi 3 Model B. A webcam attached to the Pi monitors the area and sends a notification when any trespassing or obtrusion is detected. The camera also possesses face recognition algorithm which will possess the ability to identify the person responsible for the motion triggering. If it is an authorized personnel, the on board voice assistant will start talking with the person. The notification will be sent only when it’s an unauthorized personnel and will contain pictures clicked of the trespasser and also activate live streaming of the webcam feed. The live streaming ability of the Pi allows the camera feed to be analyzed from any location using internet. With such a system, every user will feel more sheltered while they’re not at their place of residence or when they’ve left their children and old ones alone at home.

INTRODUCTION

Using Webcam robot which can monitor the areas where it’s installed and send notifications to the owner when an intrusion happens. It also allows the user to login to the Raspberry Pi’s webcam from any remote location and view live feed of whatever is happening in his premises.The cost effectiveness and Autonomous features of the robot allow it to be used easily by every user. 

EXISTING SYSTEM

The CCTV cameras installed these days also have limited vision because they’re stationary modules. If an intruder moves away from the field of view of a CCTV camera, it cannot follow or track his motions

PROPOSED SYSTEM

By Using Webcam robot which can monitor the areas where it’s installed and send notifications to the owner when an intrusion happens.  It also allows the user to login to the Raspberry Pi’s webcam from any remote location and view live feed of whatever is happening in his premises.

BLOCK DIAGRAM

Raspberry_pi_based_webcam_robot

MONITORING SECTION

Raspberry_pi_based_webcam_robot2

BLOCK DIAGRAM DESCRIPTION

  • In this OpenCV is used for the motion detection of the person.
  • Similarly Ultrasonic Sensor is used to measure the distance.
  • Connect USB camera with raspberry pi to have the live surveillance of the area
  • Connect power supply for Raspberry pi
  • Plug the HDMI cable in Raspberry pi from the monitor using VGA to HDMI converter cable
  • Connect USB Mouse and USB keyboard to the Raspberry pi

HARDWARE REQUIREMENTS

  • Raspberry Pi
  • Ultrasonic Sensor
  • Speakers
  • USB Camera
  • SD card
  • Monitor
  • Relay
  • L239D IC

SOFTWARE REQUIREMENTS

  • Raspbian Jessie
  • HTML and PHP
  • OpenCV
  • Language – Linux
  • Python

CONCLUSION

The advantages of installing such a system in every household is that it provides peace of mind to the user about his premises even when he’s not present at home. The low power consumption of this system enables it to be installed in any kind of household with ease. It can also be used for a long duration of time by using an appropriate battery. It will allow the system to be under working condition for weeks together. Even if a security camera has already been installed, this System can be added to it so that it can provide extra security. The users will be able to keep an eye on their loved ones at home, even if they are busy working in any other place. It provides safety to old age people and children if they’re alone at home.

REFERENCES

[1] Sushant Kumar and Dr. S. S. Solanki, “Remote Home Surveillance System , International Conference on Advances in Computing, Communication, & Automation (ICACCA).

[2] JTutun Juhana and Vivi Gusti Anggraini, “Design and Implementation of Smart Home Surveillance System”, 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA).

[3] Virginia Menezes, Vamsikrishna Patchava and M. Surya Deekshith Gupta, “Surveillance and Monitoring System using Raspberry Pi and SimpleCV”, 2016 International Conference on Green Computing and Internet of Things (ICGCIoT)

Additional information

Weight 0.000000 kg

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