Night Vision Patrolling Robot using Raspberry Pi and OpenCV

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Description

Night Vision Patrolling Robot using Raspberry Pi and OpenCV

In this paper, we propose a security patrolling robot that uses a night vision camera for securing any premises. The robotic vehicle moves at particular intervals and is equipped with a night vision camera and sound sensors. It uses a predefined line to follow its path while patrolling. It stops at particular points and moves to the next points if the sound is detected. The system uses IR based path following system for patrolling assigned areas. It monitors each area to detect any intrusion using a 360degree rotating HD camera. It has the ability to monitor sound on the premises. Any sound after the company is closed and it starts moving towards the sound on its predefined path. It then scans the area using its camera to detect any human faces detected. It captures and starts transmitting the images of the situation immediately on sound or human face detection. Here we use IOT Local Area Network (LAN) for receiving transmitted images and displaying them to users with alert sounds. Thus we put forward a fully autonomous security robot that operates tirelessly and patrols large areas on its own to secure the facility. Night Vision Patrolling Robot using Raspberry Pi and OpenCV


Night Vision Patrolling Robot using Raspberry Pi and OpenCV

INTRODUCTION:

The idea behind that is to protect the region as a whole. Any small sound resulting in sending the notification through the automatic robot to the person concerned consists of the night vision camera from which we can see the live video through the smartphone send and capture the area and send it to the user. The night vision camera plays a significant role in rendering the robotic device automatic. Robotics is a modern technology that is changing human life, as the key and emerging component of robotics is control and automation. Robots function as a computer and can be controlled remotely. Patrolling is nothing more than keeping track of an area where the corresponding robot patrolling area is constantly moving and traveling is continuously moving in the area allocated to the robot. The robot takes the pictures at 360-degree rotation. Then, these images are sent to the user in real-time, they will be evaluated by the user and action will be taken if any problems are found. Using the camera motor we may gather knowledge from both sides of the external field. We can control the robot in two ways: one wired, and the other wireless. Wireless monitoring helps us operate robots from various locations. Any small sound results in an alarm and the robot will automatically go to the area and capture the area’s image and send it to the user. In making an automated robotic device, Raspberry Pi connected to the camera plays an important role. The robotic vehicle travels at different intervals and is fitted with camera and sound sensors for night vision. In patrolling it uses a predefined line to follow its direction. Once the sound is rotating HD camera detects any intrusion. It has the capability of tracking sound at the premises. Any sound after the company is closed and its predefined direction starts to travel towards the sound. It then scans the region using its camera to detect any known human faces. It captures and starts to relay photographs of the situation immediately upon identification of sound or human face. Here we use IOT gecko to get transmitted images and view them with warning sounds to the user. So we’re putting forward a fully autonomous security robot that runs relentlessly and patrols wide areas alone to protect the building. Robot patrolling is primarily used in a military zone, hospitals, shopping malls, national functions, industrial fields, etc. Night Vision Patrolling Robot using Raspberry Pi and OpenCV.  Night Vision Patrolling Robot using Raspberry Pi and OpenCV

Existing system:

In the existing system, the robot has to control remotely where the person has to monitor the area using remote but manually controlling, and more Human more required to implement this system. Night Vision Patrolling Robot using Raspberry Pi and OpenCV

DISADVANTAGE:

In this system, authentication is required on the user side in order to view the streaming video and control the robot.


Night Vision Patrolling Robot using Raspberry Pi and OpenCV

Proposed system:

In this proposed system, Raspberry pi is installed with the night vision camera which helps the system to go for automation and help to find the human or any problem detected using the sound sensor and according to the sound produced it automatically goes to that area and capture the image and send it to the user using IOT technology.      

Night Vision Patrolling Robot using Raspberry Pi and OpenCV

ADVANTAGES:

  • Reduces human casualties.
  • Makes all kinds of work easier.
  • Helps disabled people in living their lives.
  • In this system, a wide area can be captured
  • The camera motion can be controlled automatically.

Night Vision Patrolling Robot using Raspberry Pi and OpenCV

BLOCK DIAGRAM:

 

Night Vision Patrolling Robot with Sound Sensing using the Computer

CIRCUIT DIAGRAM:

Night V

Night Vision Patrolling Robot using Raspberry Pi and OpenCV


BLOCK DIAGRAM DESCRIPTION:

In this proposed device, Raspberry pi is equipped with the night vision camera that helps the user to go for automation and helps to find the person or any problem detected using the sound sensor and automatically goes to that area and captures the image and sends it to the user using IOT technology according to the sound generated. The robot has a range of knowledge to protect the greater region. This robot uses two infrared sensors that are capable of detecting obstacles robot on both hands. When the barrier is in front of the robot it changes its direction to the opposite side of it. In the robotic world, a Microphone is used to detect sounds in real-time and send them to the monitoring system. The live photos and videos are recorded by the vision system. Two generators are enough to power the module for robot movement. Because the number of gears in the motor is small, less power consumption will be received. This robot will be moving front and backward using infrared sensors with the help of wheels with the use of a Dc motor.? Where the raspberry pi is used to connect to the Wi-Fi. After connecting to the Wi-Fi the captured picture will be visible on the operator’s mobile. Where the operator can turn the camera 360 degrees to check out the whole street. There is a sound sensor used in the robot. This sound sensor will sense the sound with a particular frequency and after sensing the sound the robot will move towards the sound recognized side the camera will be switched on and the camera will record the video with the audio file. This video and the audio file will be monitored by the operator who is having with the robot. Night Vision Patrolling Robot using Raspberry Pi and OpenCV


Night Vision Patrolling Robot using Raspberry Pi and OpenCV

HARDWARE REQUIREMENTS:

  • Raspberry Pi
  • Night Vision Camera
  • IR Sensor
  • Sound Sensor
  • DC Motor
  • Motor driver
  • Servo motor
  • Ultrasonic sensor

SOFTWARE REQUIREMENTS:

  • Program: Python
  • Platform: Python 3 IDLE
  • Raspberry pi os: Raspbian os
  • Library: OpenCV

Night Vision Patrolling Robot using Raspberry Pi and OpenCV

REFERENCES:

  • C. Micheloni, G. L. Foresti, C. Piciarelli, and L. Cinque, “An Autonomous Vehicle for Video Surveillance of Indoor Environments,” in IEEE Transactions on Vehicular Technology, vol. 56, no. 2, pp. 487498.
  • W. F. Abaya, J. Basa, M. Sy, A. C. Abad, and E. P. Dadios, “Low-cost smart security camera with night vision capability using Raspberry Pi and OpenCV,” 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Palawan, 2014, pp. 1-6.
  • Wi-Fi Robot for Video Monitoring & Surveillance System By Pavan C & Dr. B. Sivakumar, International Journal of Scientific & Engineering Research Volume 3, Issue 8, August 2012.
  • Arduino-based Battlefield Assistive Robot By AhsanulHoque, Md. BaijidHasanShorif, ShekhNuruzzaman, Md. EftekharAlamHumanitarianTechbology conference (R10-HTC) 2017
  • Z.Wang, M. Zhou and N. Ansari, “movement of the robot,” in proceeding of IEEE Conference on Man and Cybernetics System Vol.4, pp.4045- 4050, Washington DC, Oct. 2003.
  • M.SenthamilSelvi, N. Suresh Kumar ?Intelligent Smart Street Lighting System for the public and society?, International Scientific Global Journal in Applied Research (ISGJESAR), Vol.1, No. 1, May 2016. pp. 18-28.

 

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