Nowadays Women Safety is the biggest concern in many parts of the world. There is still a fear in alone areas for women as well as men. So here we propose security patrolling robot using Raspberry Pi. The system uses cameras and mic mounted on robotic vehicles for securing any premises. The robotic vehicle moves a particular path and is equipped with 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 problem using a combination of two HD cameras. It has the ability to monitor sound in the premises. The robot hears Any sound after area is quiet 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 to the IoT website. Here we use IOT gecko for receiving transmitted images and displaying them to user 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
WHAT IS A NIGHT PATROL SYSTEM?
This paper we propose a security patrolling robot that uses night vision camera for securing any premises. The robotic vehicle moves at particular intervals and is equipped with 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 next points if sound is detected. The system uses IR based path following system for patrolling assigned area. It monitors each area to detect any intrusion using 360degree rotating HD camera. It has the ability to monitor sound in the premises. Any sound after 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 user 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.
PROPOSED SYSTEM:
Raspberry PI (Small powerful CPU) is installed with the night vision camera which help the system to go for the automation and help to find the human involving in any problem detected using the sound using sound sensor and according to the sound produced it automatically goes to that area and capture the image and send it to nearest police station using IoT technology.
The robot receives and finds any audio if the area is silent and it gets ready to move towards the audio on its predefined and active way. Any human face is detected and then it scans the place with the help of its camera. Once the image is captured, then the process is started transferring the images to the IoT website. The user receives the image with an alert sound.
HARDWARE REQUIREMENTS
- Raspberry Pi
Raspberry Pi 3 Model B was designed as the earliest model of the third-generation Raspberry Pi. This model features a powerful core processor 10x faster than the first-generation Raspberry Pi. Moreover, it adds up wireless LAN & Bluetooth connectivity making it the ideal solution for powerful connected designs. This updated version of Raspberry Pi comes with a credit-card-sized single-board computer used for a wide range of applications.
- Night Vision Camera
Night vision cameras offer a bit more than standard security cameras. The ability to see in low light to near darkness enables surveillance around the clock.IR or night vision cameras use infrared light to illuminate images in the dark. We can’t see it, but infrared light is actually all around us. … The filter sits between the camera’s lens and sensor, to allow visible light to pass through in the daytime, while blocking out infrared wavelengths
- IR Sensor
A Passive Infrared sensor is defined as an electrical sensor that detects the infrared light radiated by a warm object or used to sense motion. It is widely used to detect the motion of a human body within the sensor’s range. Hence often referred to as “PIR”, “Pyroelectric”, “Passive Infrared” and “IR Motion” sensor. These pyroelectric sensors introduce changes in their temperature due to incident infrared radiation into an electric signal. But there will be no change in the detection distance. In order to lengthen the detection distance of the detector, an optical system was added to collect the infrared radiation.
- Sound Sensor
A sound sensor detects the intensity of sound and converts it into an electrical signal. This module includes a Microphone, a Peak detector, and an Amplifier. In this converter IC, we use LM393 Op-amp that is highly sensitive to sound. When the sensor detects a sound it is processed and the output voltage signal provided to the microcontroller for further processing. This module can detect noise levels at a range of decibels at 3 kHz-6 kHz frequencies, approximately where the human ear is sensitive.
- ESP8266 Wifi Communication Module:
ESP8266 Wifi Module AP & Station Remote Serial Wireless IoT Board designed based on an integrated chip specifically to fulfill the needs of a new connected world. It can handle all the necessary overhead for communicating with your network, such as TCP/IP stack and communicating with your 802.11 networks. The ESP8266 WiFi Module is a self-contained SoC with an integrated TCP/IP protocol stack that can give access to your WiFi network (or the device can act as an access point). One useful feature of Uno WiFi is support for OTA (over-the-air) programming, either for the transfer of Arduino sketches or WiFi firmware.
- SD card
CONCLUSION:
Nowadays Women Safety is the biggest concern in many parts of the world. So here we propose security patrolling robot using Raspberry Pi. If the Robot hears Any sound after the area is quiet 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 to the IOT website.