A Surveillance Mobile Robot based on Low-Cost Embedded Computers

Robot technology is everywhere from health to retail. It is very rare to see the use of robots in developing countries. It is also a big task for companies to hire staffs for the purpose of monitoring as it requires to work especially in the night. It is also dangers for human. It is a good idea to have some robots for the purpose of monitoring. This paper focuses on the development of surveillance mobile robot using an Arduino board, an ESP32 board and a Raspberry PI sys-tem. The robot is a proof of concept of possible robotic application in warehouses where monitoring technologies need to be embedded in the system. In this con-text, the device is equipped with a servo motor and an on-board camera. The end-user can monitor the robot remotely by wirelessly controlling the position of the servo (i.e. the camera). The camera module is controlled by the Raspberry PI and incorporate a motion detection system which provides an alarm and capture the image frame as soon as the motion is detected. Finally, the image is sent to the end-user. A set of preliminary test of the system has been performed in order to proof the reliability of the proposed prototype

Real time embedded system based intelligent land rover

This thesis has intended to provide enough information in order to understand land rovers, Internet of Things to be able to draw some positive conclusions. Bots or droids are mostly used as substitute of human labors to perform tasks in remote areas which are difficult to access. Droids can be brought into use in various number of ways which can significantly reduce the manual work specifically in remote areas where human accessibility is a big pitfall. The main applications where the bots or droids have exhibited their excellence include surveillance, tracking targets for military purposes and also for disaster management endeavors like searching and rescuing victims. The bot that has been designed and presented in this paper can be used for defense, domestic as well as commercial purposes. This bot captures the live motion using the camera and also records inputs from various sensors embedded in it. It then sends the camera feed using Bluetooth HC-05 module and sensor inputs to the admin via email using wireless communication technique, on any device which has the privilege credentials to access the input, on the same network

A Low-Cost Multi-Agent System for Physical Security in Smart Buildings

Modern organizations face numerous physical security threats, from fire hazards to more intricate concerns regarding surveillance and unauthorized personnel. Conventional standalone fire and intrusion detection solutions must be installed and maintained independently, which leads to high capital and operational costs. Nonetheless, due to recent developments in smart sensors, computer vision techniques, and wireless communication technologies, these solutions can be integrated in a modular and low-cost manner. This work introduces Integrated Physical Security System (IP2S), a multi-agent system capable of coordinating diverse Internet of Things (IoT) sensors and actuators for an efficient mitigation of multiple physical security events. The proposed system was tested in a live case study that combined fire and intrusion detection in an industrial shop floor environment with four different sectors, two surveillance cameras, and a firefighting robot. The experimental results demonstrate that the integration of several events in a single automated system can be advantageous for the security of smart buildings, reducing false alarms and delays.Comment: 10 pages, 2 tables, 3 figures, ICCCN 2022 conferenc

Embedded Vision Systems: A Review of the Literature

Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the acceleration of various vision systems mainly on embedded devices have become widespread. The reconfigurable and parallel nature of the FPGA opens up new opportunities to speed-up computationally intensive vision and neural algorithms on embedded and portable devices. This paper presents a comprehensive review of embedded vision algorithms and applications over the past decade. The review will discuss vision based systems and approaches, and how they have been implemented on embedded devices. Topics covered include image acquisition, preprocessing, object detection and tracking, recognition as well as high-level classification. This is followed by an outline of the advantages and disadvantages of the various embedded implementations. Finally, an overview of the challenges in the field and future research trends are presented. This review is expected to serve as a tutorial and reference source for embedded computer vision systems

Web based online Home Automation and security system based on wireless Video Streaming using Internet of Things

The present research work proposes an efficient implementation for IoT (Internet of Things) used for monitoring and controlling the home appliances via World Wide Web. IoT can be viewed as an evolution rather than a revolution. IoT involves leveraging connectivity to efficiently collect and analyze the data from various sensors and relay the data to the mobile or personal computer through Wireless connectivity. The idea behind our research work is managing all the functions of a home with a centralized control system. Introducing the Raspberry Pi to the world of home automation provides numerous customizations to turn a regular home into a smart home. Raspberry Pi provides a low cost platform for interconnecting electrical/electronic devices and various sensors in a home via the internet network. The main objective of the present work is to design a smart home using various sensors which can be controlled and monitored by the Raspberry Pi via the Internet of Things (IoT). This will help the house owners to provide a simple, fast and reliable way to automate their environment. This paper focuses on two aspects of smart home i.e. home automation and home security

Remote Control of Unmanned Aerial Vehicles Through the Internet and IEEE 802.11

This dissertation focuses on real-time control of Unmanned Aerial Vehicles (UAVs) through TCP/IP/IEEE 802.11. Using the MAVLink protocol - an open-source protocol for micro air vehicles - a solution that allows the exchange, in real-time, of control messages between a UAV and a remote Control Station was implemented. In order to allow the UAV control by a remote user, the vehicle streams a real-time video feed captured by a video-camera on board. The main challenge of this dissertation is related about the designing and implementation of a fast handover solution that allows an uninterruptible communication