scholarly journals Raspberry Pi Based Home Surveillance System using SMTP

2020 ◽  
Vol 9 (1) ◽  
pp. 2792-2794
Keyword(s):  
Computer Vision ◽  
Surveillance System ◽  
High Efficiency ◽  
Raspberry Pi ◽  
Surveillance Systems ◽  
Processing Unit ◽  
Central Processing ◽  
Local Database ◽  
Python Language ◽  
Transfer Protocol

Different Technologies are emerging in the field of Home Surveillance now a days. Surveillance systems are being used to reduce man power and to increase security of a home. Technologies like Computer Vision and Internet of Things (IOT) are one of them. In this project a surveillance system has been implemented employing a single board computer i.e. Raspberry Pi 3 which will act like a central processing unit with the help of python language and a module named as Open Source Computer Vision(Open CV).To make it more automated a local database of authorized persons has been made. It will store the images of the different authorized persons who can enter in that security area. Camera will be always in surveillance mode and it will be searching for a face persistently. It’ll act as Computer Vision. This will lead to more accurate system with high efficiency. Therefore it’ll capture the image of the person automatically and compare it with the local database. In the case of match, door will be open automatically otherwise in the case of unauthorized person, system will send the image of the unauthorized person to owner of the home via SMTP(Simple Mail Transfer Protocol). A local library in Python - "smtplib" is being press into service to send messages. The smtplib module characterizes a SMTP customer meeting object that can be utilized to send messages to any Web machine with SMTP( Simple Mail Transfer Protocol). Also a webpage has been made with the help of apache server to store the images of unauthorized persons.

scholarly journals Software Optimisation of Lightweight Klein Encryption in IoT

2021 ◽  
Vol 4 (2) ◽  
pp. 55-68
Author(s):  
Seyed Ghorashi
Keyword(s):  
Block Cipher ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Security Vulnerabilities ◽  
Original Algorithm ◽  
Central Processing ◽  
Python Language ◽  
Novel Method ◽  
Improved Performance ◽  
The Internet Of Things

The Internet of Things (IoT) and Wireless Sensor Network (WSN) devices are prone to security vulnerabilities, especially when they are resource-constrained. Lightweight cryptography is a promising encryption concept for IoT and WSN devices, that can mitigate these vulnerabilities. For example, Klein encryption is a lightweight block cipher, which has achieved popularity for the trade-off between performance and security. In this paper, we propose one novel method to enhance the efficiency of the Klein block cipher and the effects on the Central Processing Unit (CPU), memory usage, and processing time. Furthermore, we evaluate another approach on the performance of the Klein encryption iterations. These approaches were implemented in the Python language and ran on the Raspberry PI 3. We evaluated and analyzed the results of two modified encryption algorithms and confirmed that two enhancing techniques lead to significantly improved performance compared to the original algorithm

Tracking Filter for Radio Surveillance upon UAV Detection

2021 ◽  
Vol 26 (6) ◽  
pp. 554-564
Author(s):  
E.I. Minakov ◽  
◽  
G.A. Valikhin ◽  
A.V. Ovchinnikov ◽  
S.S. Matveeva ◽  
...  
Keyword(s):  
Surveillance System ◽  
High Efficiency ◽  
Target Position ◽  
Surveillance Systems ◽  
Energy Potential ◽  
Filter System ◽  
Detection And Tracking ◽  
Visual Identification ◽  
Aerial Vehicle ◽  
Tracking Filter

Unsanctioned intrusion of unmanned aerial vehicle (UAV) on the territory of the guarded object is primarily detected by specialized radio surveillance systems. The results obtained by radio surveillance systems are used for aiming of UAV visual identification and radio jamming systems. In this work, the problems of UAV detection and tracking of the target trajectory are considered. The known tracking filter systems for radio surveillance application were analyzed and a specialized matrix tracking filter system was proposed, which uses in its algorithm a dynamically changing energy potential of the radio surveillance system. The developed tracking filter system efficiency is evaluated using methods of matrix calculation, mathematical modeling, and probability theory. It has been established that the developed tracking filter system lets the radio surveillance equipment most effectively initiate trajectories of UAV, set its movement window, consider radio surveillance equipment characteristics, and approximate the trajectory of UAV at times of missed detections connected to radar cross-section fluctuations of moving targets. A high efficiency of the developed system has been achieved by decreasing the inaccuracy of the target position prediction two times in comparison with the known tracking filter systems. The obtained results allow easy scaling of the developed tracking filter system for its application as a part of any radio surveillance system.

Fast and High Accuracy Numerical Methods for the Solution of Nonlinear Klein–Gordon Equations

2011 ◽  
Vol 66 (12) ◽  
pp. 735-744 ◽  
Author(s):  
Akbar Mohebbi ◽  
Zohreh Asgari ◽  
Alimardan Shahrezaee
Keyword(s):  
Numerical Methods ◽  
High Efficiency ◽  
High Accuracy ◽  
Processing Unit ◽  
Conservation Of Energy ◽  
One Dimensional ◽  
Central Processing ◽  
Time Stepping ◽  
Klein Gordon ◽  
The One

In this work we propose fast and high accuracy numerical methods for the solution of the one dimensional nonlinear Klein-Gordon (KG) equations. These methods are based on applying fourth order time-stepping schemes in combination with discrete Fourier transform to numerically solve the KG equations. After transforming each equation to a system of ordinary differential equations, the linear operator is not diagonal, but we can implement the methods such as for the diagonal case which reduces the time in the central processing unit (CPU). In addition, the conservation of energy in KG equations is investigated. Numerical results obtained from solving several problems possessing periodic, single, and breather-soliton waves show the high efficiency and accuracy of the mentioned methods.

scholarly journals Investigation of High-Efficiency Iterative ILU Preconditioner Algorithm for Partial-Differential Equation Systems

Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1461 ◽  
Author(s):  
Yan-Hong Fan ◽  
Ling-Hui Wang ◽  
You Jia ◽  
Xing-Guo Li ◽  
Xue-Xia Yang ◽  
...  
Keyword(s):  
Differential Equation ◽  
Partial Differential Equation ◽  
Linear Systems ◽  
High Efficiency ◽  
Iterative Scheme ◽  
Processing Unit ◽  
Matrix Equations ◽  
Partial Differential ◽  
Central Processing ◽  
Ilu Factorization

In this paper, we investigate an iterative incomplete lower and upper (ILU) factorization preconditioner for partial-differential equation systems. We discretize the partial-differential equations into linear equation systems. An iterative scheme of linear systems is used. The ILU preconditioners of linear systems are performed on the different computation nodes of multi-central processing unit (CPU) cores. Firstly, the preconditioner of general tridiagonal matrix equations is tested on supercomputers. Then, the effects of partial-differential equation systems on the speedup of parallel multiprocessors are examined. The numerical results estimate that the parallel efficiency is higher than in other algorithms.

scholarly journals Parallel Implementation of Modeling of Fractional-Order State-Space Systems Using the Fixed-Step Euler Method

Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 931 ◽  
Author(s):  
Rafał Stanisławski ◽  
Kamil Kozioł
Keyword(s):  
State Space ◽  
Fractional Order ◽  
High Efficiency ◽  
Parallel Implementation ◽  
Euler Method ◽  
Processing Unit ◽  
Space Systems ◽  
Central Processing ◽  
State Space Systems ◽  
Order State

This paper presents new results in implementation of parallel computing in modeling of fractional-order state-space systems. The methods considered in the paper are based on the Euler fixed-step discretization scheme and the Grünwald-Letnikov definition of the fractional-order derivative. Two different parallelization approaches for modeling of fractional-order state-space systems are proposed, which are implemented both in Central Processing Unit (CPU)- and Graphical Processing Unit (GPU)-based hardware environments. Simulation examples show high efficiency of the introduced parallelization schemes. Execution times of the introduced methodology are significantly lower than for the classical, commonly used simulation environment.

A New Methodology to Obtain a Reduction of the Heavy Metal Concentration in Waste Originated in Solid Residues, “Chorume”

1991 ◽  
Vol 24 (12) ◽  
pp. 159-164 ◽  
Author(s):  
J. S. d'Avila ◽  
C. M. Matos ◽  
M. R. Cavalcanti ◽  
J. Andrade ◽  
J. Marques
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Concentration ◽  
High Efficiency ◽  
Heavy Metal Concentration ◽  
Processing Unit ◽  
Central Processing ◽  
Feasible Alternative ◽  
Normal Procedure ◽  
The One

The reduction of the heavy metals concentration in liquid effluents is difficult and the existing methods available are expensive and their efficiencies ate in general low. The normal procedure adopted is based on the recirculation of the “chorume”, sometimes with a high content of heavy metals, into the liquid effluent flux of the central processing unit having in general a biological treatment. Depending on the heavy metal concentration the efficiency of the biological process decreases, or in certain cases, collapses completely. Activated peat by using the acid process or the one developed by the Universidade Federal de Sergipe and Instituto de Tecnologia e Pesquisas de Sergipe becomes an excellent heavy metals sorbent, which in certain analytical conditions has a very high efficiency. The overall process is controlled by diffusion and is governed by a first order kinetics. The use of activated peat shows in several situations that this process is a feasible alternative to getting the reduction of heavy metals concentrations in simulated effluents with one or more cations. Preliminary results show a significant matrix influence. The organic matter presence in the effluent may alter the sorption efficiency depending on its composition. The optimum analytical condition varies with the effluent quality and promotes the highest efficiency in the reduction of heavy metals concentrations.

scholarly journals An Agile Security System for Automobiles using IoT

2020 ◽  
Vol 9 (1) ◽  
pp. 1502-1504
Keyword(s):  
Embedded System ◽  
Liquid Crystal Display ◽  
Pressure Sensors ◽  
Security System ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Motion Sensors ◽  
Efficient System ◽  
Central Processing

Thieves are becoming smarter day-by-day which results in increase of looting of automobiles like scooters, cars and many other. To overcome this problem there is a crucial need for an effective system that diagnoses the vehicle theft. In this paper, an IoT based agile security system by using Raspberry Pi as the central processing unit of the entire system, a lightweight, cheap and efficient system is researched, built and explored. The Linux Embedded System gathers the data from Passive Infra-Red (PIR) motion sensors, pressure sensors, gas sensors, Global Positioning System (GPS), Pi camera, buzzer, and Liquid Crystal Display (LCD). The system has generally 2 modes. They are: Owner mode and Theft mode. If the system detects any intrusion in the vehicle it gives an alarm on detection, capture the image of the person by using image processing technique and identifies who is trying to unlock the vehicle and send coordinates of the vehicle when the intruder opens the vehicle door and starts moving the car, along with images of intruder to the owner by using a GSM module. By using GPS module, we can be to get the latitude and longitude of the vehicle remotely when the intruder has theft the vehicle.

scholarly journals IoT Based Surveillance System Using DNN Model

2021 ◽  
Vol 9 (12) ◽  
pp. 35-41
Author(s):  
Rahul Rawat
Keyword(s):  
Deep Learning ◽  
Face Detection ◽  
Surveillance System ◽  
Armed Forces ◽  
Raspberry Pi ◽  
Surveillance Systems ◽  
Detection Model ◽  
Log Files ◽  
Loss And Damage ◽  
Communication Module

Abstract: Localization, Visibility, Proximity, Detection, Recognition has always been a challenge for surveillance system. These challenges can be felt in the industries where surveillance systems are used like armed forces, technical-agriculture and other such fields. Most of the Smart system available are just for the surveillance of Human intervention but there is a need for a system which can be used for animals as well because with the outburst of human population and symbiotic relationship with wild animals results in life loss and damage to agriculture. In this paper we are designing to overcome these above-mentioned challenges for human and animal-based surveillance system in real time application. The system setup is done on a Raspberry pi integrated with deep-learning models which performs the classification of objects on the frames, then the classified objects is given to a face detection model for further processing. The detected face is relayed to the back-end for feature mapping with the saved log files with containing features of familiar face IDs. Four models were tested for face detection out of which the DNN model performed the best giving an accuracy of 94.88%.The system is also able to send alerts to the admin if any threat is detected with the help of a communication module. Keywords: Deep learning, Raspberry Pi, OpenCV, Image Processing, YOLO, Face Recognition

Hardware Realization of Antifogging System

2017 ◽  
pp. 153-172
Author(s):  
Amruta Laxman Deshmukh ◽  
Satbir Singh ◽  
Balwinder Singh
Keyword(s):  
Embedded System ◽  
Low Power ◽  
Computer Model ◽  
Surveillance System ◽  
Low Cost ◽  
Model System ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Matlab Code ◽  
Condensed Water

There are many reasons for invisibility of objects on road in daylight, majority of them are Fog (condensed water droplets in atmosphere), smog (soot particles in air). This reduced visibility is one of the prime factors responsible for accident of vehicles and disadvantage in surveillance system. This chapter takes account of a method that comprises of a complete embedded system for the process of restoring the captured foggy images. Use of a novel ‘Mean Channel Prior' algorithm for defogging is presented. Further detailed step by step explanation is given for hardware implementation of MATLAB code. Hardware consists of raspberry pi which is an ARM7 Quad Core processor based mini computer model. System serves as portable, low cost and low power processing unit with provision of interfacing a camera and a display screen.

MICROPROCESSOR FOR INTELLIGENT SPACE SURVEILLANCE SYSTEMS WITH SPACEWIRE/GIGASPACEWIRE/SPACEFIBRE LINKS

2018 ◽  
pp. 13-19
Author(s):  
T. V. Solokhina ◽  
J. J. Petrichkovich ◽  
A. V. Glushkov ◽  
A. A. Belyaev ◽  
D. A. Kuznetsov ◽  
...  
Keyword(s):  
Computer Vision ◽  
High Speed ◽  
Processing System ◽  
System Structure ◽  
Surveillance Systems ◽  
Processing Unit ◽  
Computational Performance ◽  
High Speed Data ◽  
On Chip ◽  
Core Graphic

The article presents architecture and main features of 90 nm CMOS radiation tolerant MCDE50F ASIC as multiprocessor heterogeneous SoC (System-on-Chip) which contains MIPS64 RISC core, graphic processing unit (GPU) and application-specific computer vision Elcore50 DSP. High-speed data input/output is performed by multiprotocol SpaceFibre/GigaSpaceWire/ SpaceWire ports combined with built-in multichannel SpaceFibre/GigaSpaceWire/SpaceWire based switch. MCDE50F ASIC is intended for space “intelligent” surveillance system applications, which require high computational performance in signal and image processing, including computer vision functions support, and high-speed deliverance of massive data arrays. An example of onboard data processing system structure based on MCDE50F ASIC is presented. Performance characteristics of MCDE50F ASIC implementing OpenVX standard functions are also given.

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