Smart Border Surveillance System using Wireless Sensor Network and Computer Vision

A Lightweight Security Scheme (LSS) for Wireless Node Communication for Border Surveillance System

“…In the both of methodologies, no camera sensors are used for recording or live streaming for the purpose of further observation whether the motion signal are coming from an animal or human. Bhadwal et al (2019) have proposed a Smart Border surveillance system utilizing PIR sensors for sensing the intruder in the border area. The proposed system comprised of sensor nodes and a surveillance camera.…”

“…The movement of motors is governed by raspberry PI microcontroller as it received the sensed data of PIR sensor. If any kind of human activity is found by the raspberry PI controlled camera, a warning is issued and an alert is sent to the control station for the necessary military action including triggering the auto-combat system for targeting the intruder [1]. However, no implementation work of the proposed system has been given in the paper.…”

“…The border surveillance system is trivially a physical border intrusion detection system in which CCTV cameras are used traditionally to observe manually the presence of some intruder. With the advent of newer technologies like wireless sensor networks (WSNs), the semi-autonomous or fully autonomous border surveillance systems are being proposed by researchers (Bhadwal et al (2019)) that needs much lesser human intervention and takes the decisions on their own regarding use of automatic weapons [1]. In such semi-autonomous or fully autonomous border surveillance system, several wireless sensor nodes are deployed across the border area.…”

Evaluation of Modular Power Converter Integrated with 5G Network

“…Another excellent example of a system dispersed at the large, hard accessible surface is a border control system, which may consist of UAVs and drones [23] or autonomous surveillance systems [24]. Just like in the case of the Agriculture 4.0, it is expected that drones or surveillance systems will be integrated with the 5G network and -power electronics used by border control services.…”

Automated bank cheque verification using image processing and deep learning methods

“…Peymani and Soryani (2017) [44] proposed a model to identify machine generated as well as hand written characters for Farsi language images with an accuracy of 68% using an Arabic language dataset [45]. Bhadwal (2019) [46], Singh (2018) [47] and Agrawal (2012) [48] also developed different applications ranging from object recognition to edge detection by using image processing and computer vision methods. Ignat and Aciobniei (2016) [49] proposed method of feature extraction for offline handwritten digit recognition by using rotation and filtering of edges for the extraction of the digit characteristics.…”