An Autonomous Robot for Intelligent Security Systems

Hasan, Raza; Hussain, Shaik Asif; Nizamuddin, Shaikh Azeemuddin; Mahmood, Salman

doi:10.1109/icsgrc.2018.8657642

Cited by 12 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Robotic engineering applications involve in manufacturing, surgical procedures, space industry, military, and health informatics. Today, robots are becoming a part of everyday life and these elements relieve us from various dangers [21]. With the rapid development of mobile robotics, communication, computer, artificial intelligence, and sensor technology in recent years, it has laid a solid foundation and good prospects for research and development of the security patrol robot [22].…”

Section: Discussionmentioning

confidence: 99%

Review of New Trends and Challenges of Android-Based Home Security Robot

Selvam

Zainuddin

2021

Malaysian J. Sci. Adv. Tech.

View full text Add to dashboard Cite

Home security by itself is very costly and not many people, especially those who are living in rural or sub urban areas, are able to afford it. Hired security guards or even guard dogs are also slowly losing their usability and credibility in an age where burglars are sneakier, stealthier, and more technologically equipped to disable alarm systems. The Security Patrolling Robot vehicle moves in a set path while keeping its “eyes” peeled for any non-recognized intruders. The planned framework will utilize an infrared-based sensor following framework for supervision of various designated zones. The development of a robot is additionally controlled consequently through obstacle recognizing sensors to stay away from to avoid unnecessary collisions and possible damage to the robot. The working principle of the robot is that it screens every zone to recognize any interruptions, which is achieved utilizing a camera which is mounted on top of the robot to record the surveillance for the viewing of the client. The principal goal of this undertaking is to recognize the worrying exercises in the regions where the human presence cannot be detected. This robot will become a great contribution to the community. It is easily operated and can be handled by senior citizens, who may or may not be proficient with technology.

show abstract

Section: Discussionmentioning

confidence: 99%

Review of New Trends and Challenges of Android-Based Home Security Robot

Selvam

Zainuddin

2021

Malaysian J. Sci. Adv. Tech.

View full text Add to dashboard Cite

show abstract

“…The major subsystems include Intelligent Transportation System (ITS) (Arabsheibani, Kanani Sadat, Abedini, 2016), Geographic Information System (GIS) (Hasan, Hussain, Nizamuddin, and Mahmood, 2018), security system (Lv, Kong, Zhang, Jiang, Lv and Lu, 2020), e-education and e-health (Maung, Phyo, and Tun, 2015).…”

Section: Development Of Smart Systems In Different Regionsmentioning

confidence: 99%

Regional Aspects and Development Opportunities in Bulgaria in the Context of the European Green Deal

Petrov¹,

Tsonkov²

2022

EIS

View full text Add to dashboard Cite

This article is devoted to the problems and challenges in the implementation of policies for socio-economic transformation of regions in Bulgaria about the European Green Deal. The conceptual change at the European level necessitates the definition of new priorities for the Bulgarian state in its path towards a more equitable transition to a green economy. The main objective of the authors is to analyze and assess the development opportunities and challenges for the Bulgarian economy on the path to a green and equitable transition. The authors examine the economic changes in the Bulgarian regions. The paper defines the methodology of the scientific approach to such research, using the system, network, geographical, cartographic, and comparative methods. The paper outlines the necessity of introducing smart systems at the city and region levels to manage the territory and its development more effectively. Special attention is paid to energy problems and the need for energy transformation in countries like Bulgaria. In addition, the need to strengthen cross-border cooperation in the Balkan region to build integrated models in different sectors and industries to make the transition to a new type of socio-economic development more sustainable and equitable is also recognized. Keywords: fair transition, governance, system, models, regional development, economy, smart systems, information.

show abstract

“…Under Industry 4.0, modern factories face an increasing level of automation to achieve more efficiency and quality in production processes. One of the key elements of smart manufacturing is the use of robotics technologies in various applications varying from basic to advanced tasks such as parts processing in production lines, product transportation, material handling, logistic warehousing, rescue services, inspection, surveillance, data collection, and more collaborative activities with human operators [ 2 , 3 , 4 ]. The implementation of collaborative robots (cobots) aims to enhance the cooperation and the shared workforce between humans and robots in smart manufacturing environments [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition

Kiangala

Wang

2022

Sensors

View full text Add to dashboard Cite

The industrial manufacturing sector is undergoing a tremendous revolution moving from traditional production processes to intelligent techniques. Under this revolution, known as Industry 4.0 (I40), a robot is no longer static equipment but an active workforce to the factory production alongside human operators. Safety becomes crucial for humans and robots to ensure a smooth production run in such environments. The loss of operating moving robots in plant evacuation can be avoided with the adequate safety induction for them. Operators are subject to frequent safety inductions to react in emergencies, but very little is done for robots. Our research proposes an experimental safety response mechanism for a small manufacturing plant, through which an autonomous robot learns the obstacle-free trajectory to the closest safety exit in emergencies. We implement a reinforcement learning (RL) algorithm, Q-learning, to enable the path learning abilities of the robot. After obtaining the robot optimal path selection options with Q-learning, we code the outcome as a rule-based system for the safety response. We also program a speech recognition system for operators to react timeously, with a voice command, to an emergency that requires stopping all plant activities even when they are far away from the emergency stops (ESTOPs) button. An ESTOP or a voice command sent directly to the factory central controller can give the factory an emergency signal. We tested this functionality on real hardware from an S7-1200 Siemens programmable logic controller (PLC). We simulate a simple and small manufacturing environment overview to test our safety procedure. Our results show that the safety response mechanism successfully generates paths without obstacles to the closest safety exits from all the factory locations. Our research benefits any manufacturing SME intending to implement the initial and primary use of autonomous moving robots (AMR) in their factories. It also impacts manufacturing SMEs using legacy devices such as traditional PLCs by offering them intelligent strategies to incorporate current state-of-the-art technologies such as speech recognition to improve their performances. Our research empowers SMEs to adopt advanced and innovative technological concepts within their operations.

show abstract

An Autonomous Robot for Intelligent Security Systems

Cited by 12 publications

References 7 publications

Review of New Trends and Challenges of Android-Based Home Security Robot

Review of New Trends and Challenges of Android-Based Home Security Robot

Regional Aspects and Development Opportunities in Bulgaria in the Context of the European Green Deal

An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition

Contact Info

Product

Resources

About