Wireless IoT-Based Intrusion Detection Using LIDAR in the Context of Intelligent Border Surveillance System

Segireddy, Sravani; Koneru, Suvarna Vani

doi:10.1007/978-981-13-9282-5_43

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…17 It can penetrate leaves in forests so as to get duel reflections from the ground and tree top which is very helpful in mapping the surface contours and determining tree height. 18 LiDAR technologies use near infrared light to illuminate target surface, and then distance and reflectivity measure of the surface can be estimated from the reflected light. 19 The key benefit of this technology is both elevation and intensity image can be obtained with high accuracy.…”

Section: Selection Of Componentsmentioning

confidence: 99%

Development of LiDAR operated inventory control and assistance robot

Sharma¹,

Patange

Padalghare³

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part E:

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The cordial existence of robots and humans in the same workstation is an important aspect of the deployment of autonomous systems. Usually, robots are integrated with auxiliary sensors for monitoring the surroundings and tackling unexpected actions. The incorporation of LiDAR (light detection and ranging) and SLAM (simultaneous localization and mapping) has gained the researcher’s attention these days. The current study aims at developing a collision-free motion for an autonomous robot to ensure the least possible travel period at internodes. First, a SLAM-based algorithm for a static environment is proposed. A low-cost microcontroller Arduino UNO is used here along with LiDAR VL53L0X and is integrated with MATLAB to store and display the acquired data. The A* algorithm is used to navigate between the shortest paths on the obtained map. The robot is also integrated with radio frequency identification (RFID) sensors to automate the process. The proposed system would be useful for material handling, assistance, and cleaning purpose in large warehouses or households.

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Section: Selection Of Componentsmentioning

confidence: 99%

Development of LiDAR operated inventory control and assistance robot

Sharma¹,

Patange

Padalghare³

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…The study contributes to practice by introducing the use of UAVs to enhance port security, especially for monitoring and surveillance purposes. Segireddy et al (Segireddy and Koneru, 2020) developed a light detection and ranging (LIDAR) sensor for the acquisition of distance with a range of 40 m from the position where an object resides. Data collected by the sensor is monitored and administered in a server.…”

Section: Related Workmentioning

confidence: 99%

“…Table 7 compares our system with four other systems that exist in the literature (Drone-Aided Border Surveillance with an Electrification Line Battery Charging System(Kim and Lim, 2018), WSN-based Border Surveillance Systems(Arfaoui and Boudriga, 2017), An efficient WSN based solution for border surveillance(Laouira, Abdelli, 2019), Internet of Things based High Security Border Surveillance Strategy(Karthick and Prabaharan, 2019); Wireless IoT-Based Intrusion Detection Using LIDAR in the Context of Intelligent Border Surveillance System(Segireddy and Koneru, 2020)) from several angles such as: The preservation of the privacy of all undesirable persons: • Automatic detection.…”

mentioning

confidence: 99%

Border Security and Surveillance System Using IoT

Boukhalfa

Amine

Hamou

2021

International Journal of Information Retrieval Research

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Security along the international border is a critical process in security assessment; It must be exercised the 24x7. With the advancements in wireless IoT technology, it has become much easier to design, develop and deploy a cost-effective, automatic and efficient system for intrusion detection in the context of surveillance. This paper set up to set up the most efficient surveillance solution, we propose a Border Surveillance Systems and sensitive sites. this surveillance and security system is to detect and track intruders trespassing into the monitoring area along the border, it able which triggers off precocious alerts and valuation necessary for the catch of efficient measurements in case of a threat. Our system is based on the classification of the human gestures drawn from videos envoy by Drones equipped with cameras and sensors in real-time. All accomplished experimentation and acquired results showed the benefit diverted from the use of our system and therefore it enables our soldiers to watch the borders at each and every moment to effectively and at low cost.

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