Internet of Robotic Things in Surveillance

Annals of Robotics and Automation

Recently, robots have been developed to reduce human resources and observation time in a fast, booming, and rapidly growing technology. In this study, a surveillance robot is designed and manufactured to move around a given surrounding, preferably a domestic environment, record video & audio and send the information to the user through a network. The robot is allowed to be controlled wirelessly using Raspberry Pi technology from a location remotely using IoT technology. This sensor-based robot uses the Raspberry Pi with Ethernet, WI-Fi and Bluetooth for networking purposes. Python is chosen as the programming language in both autonomous and semi-autonomous modes. The manufactured robot was experimentally tested. The recorded videos, images and audio are successfully transferred through a WiFi network to the end user. The user could also control and move the robot in different directions for specific demands. The designed simple robot interests users to record and transfer informatio...

IRJET, 2023

The field of robotization and robotics is a extensively used discipline in the manufacturing assiduity. It's substantially used to meet the requirements of colorful diligence similar as food and libation, healthcare, and home entertainment. This design proposes developing a robotic vehicle that can be operated ever using an Android app. The proposed robot can be equipped with a camera and wireless connectivity to transmit real-time videotape and images. It can be used for surveillance in war zones. Wi-Fi is a fairly new technology, and its practical and growth eventuality are immense. The app for Android can be used to connect with the security system and give a GUI that the stoner can use. The system will also respond to the stoner's commands. The device is equipped with a stir sensor and a camera.

IRJET, 2020

This project is to design and build a manually control IOT based surveillance robot. The purpose of the robot is to be able to roam around in a given environment while transmitting back real time data (video) to the ground station over the internet or Wi-Fi. This real time data can then the used by the controller (human) to move the robot around. In this proposed system, the robot is compact and self-contained with wireless transmission of data. This system will help to control/spy on the terrorist attack throughout the world by monitoring and control of robot via the internet through Raspberry Pi board. The monitoring and controlling of robotic movements are done through the wireless network by using a web-based application.

International Journal of Scientific Research in Science, Engineering and Technology, 2023

Women's security has become a crucial requirement in our metro cities and other urban areas. To address this need, a simple and cost- effective safety gadget is necessary, leveraging advanced technology and smart electronics. This project focuses on designing and implementing a prototype for an electronic robot that can serve as a safety device in the future. The device incorporates components such as nodemcuesp8266, ESP32 cam Board, GPS module (Neo-6M), buzzer, PIR sensor, and sound sensor. Its primary function is to activate whenever a woman detects danger through sound or the presence of a person on the road. It tracks the woman's location using GPS and sends emergency notifications, via IoT, to pre- registered mobile numbers and the police control room. Additionally, the ESP32 camera live streams the victim's situation. This system offers the advantage of being compact, portable, and user-friendly. By utilizing sophisticated components, it ensures accuracy and reliability.

Mukt Shabd Journal, 2023

This paper presents a design and implementation of a Long-Distance Surveillance Robot using Internet of Things (IoT) and Blynk platform. The robot is equipped with a NodeMCU ESP8266 and an ESP32-CAM module for video streaming, and a motor driver circuit for controlling the robot's movements. The system allows users to remotely control the robot's movements and view live video feed from the robot's camera using the Blynk mobile application. The NodeMCU ESP8266 is used for wireless communication and control, while the ESP32-CAM module serves as the robot's camera. The motor driver module L298N enables the robot to move in various directions, including forward, backward, left, and right. The Blynk platform provides an intuitive mobile interface for users to control the robot and view the video feed in real-time.

Video surveillance is increasingly used in different fields. It has a wide range of applications like traffic monitoring, understanding human activity. Security is becoming more and more important in recent years. The conventional method of surveillance is done directly by human individuals. It is very costly and sometimes is not reliable. A possible solution to the surveillance system is surveillance with CCTV. But this method is also unable to access disastrous or any hostage situations. It is also vulnerable as it can’t be controlled completely from a remote place. A surveillance robot is a potential solution for these issues. Video surveillance systems are increasingly used in different fields, from the domestic to the commercial environment. Current systems are being improved and complemented with new elements and functionalities. We demonstrate the design and fabrication of a Video Surveillance Robot. We are proposing the design and fabrication of a video surveillance robot based on Raspberry Pi with the ability to perform tasks of face detection, send real-time video and also the capability of controlling it remotely from the user interface. With a view to checking the information received from the robot and for controlling the robot remotely, as well as for receiving the video sent, a client application has been developed for any device with a Wi-Fi facility. We also can control the camera motion and can turn it 180 degrees and can receive video feed around the robot. The designed robot can be remotely operated from anywhere inside the scope of wireless coverage. The robot can run-up to the maximum speed of 83 cm/sec. This robot has a face detection accuracy of 95% for single faces and 88% for multiple faces. We strongly believe that this proposed Video Surveillance Robot will reduce the security threats in household, commercial and other sectors.

2021

The purpose of this project is to develop a “patrolling robot for college security surveillance”. The important role of this patrolling robot is to provide security on college campuses in daily life. In this work, the patrolling robot system comprises the Raspberry Pi 3 B model, Wireless camera, and sound sensors. When the patrolling robot detects any object, it will capture the picture with the help of a pi camera and store it on the desktop. On the other hand, it will also stream the live video. As well as the smoke and sound sensors are installed on the robot so that the robot can find the fire and sound. The movement of a robot is also controlled automatically through obstacle detecting sensors to avoid a collision. To maintain safety and security, the conventional surveillance system relies critically on human attention, action, and intelligence. Keyword – Raspberry pi, Internet of things, surveillance, security and patrol.

Cornell University - arXiv, 2022

Video surveillance systems are increasingly used in different fields, from the domestic to the commercial environment. Current systems are being improved and complemented with new elements and functionalities. This paper proposes the design of a video surveillance robot based on Raspberry Pi with the abilities to perform tasks of motion detection, send video on real time, fire detection and also, the possibility of control it remotely from the Internet. In order to check the information received from the robot, as well as the video sent, a client application has been developed to any device with an Internet connection. In addition to this, in order to protect the information obtained by the robot, a secure system is proposed, which uses different security mechanisms to achieve this goal.

Journal of emerging technologies and innovative research, 2021

Prevention of trespassers and other potential threats in unauthorized buildings, industrial areas and similar restricted places have become a tedious task. Therefore, this paper provides a viable solution to the usage of conventional surveillance of CCTV. Surveillance is the observation of behavior, activities or information for the purpose of gathering data, influencing, managing or directing. The conventional method needs human monitoring which can lead to loss of data and might cause errors. This can be avoided by designing a smart autonomous surveillance robot using artificial intelligence and IoT. This paper emphasizes on the autonomous localization of the robot using the LIDAR sensor which is achieved through incorporating SLAM algorithm and the robot's capability of distinguishing the known and unknown person's face when he/she enters the patrolling area using face recognition algorithm. Additionally, an app is designed in such a way that, whenever the intrusion occurs, it will intimate the user by sending a captured image of the intruder's face.

IRJET, 2020

In this project, 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 are 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.