Intelligent Surveillance and Image Transmission Based on Wireless Video Sensor Network

2012 ◽  
Vol 457-458 ◽  
pp. 690-695
Author(s):  
Cheng Bo Yu ◽  
Yu Xuan Liu ◽  
Yi Meng Zhang ◽  
Hong Bing Li
Keyword(s):  
Assisted Living ◽  
Image Transmission ◽  
Image Sensor ◽  
Wireless Channel ◽  
Sensor Nodes ◽  
Processing Unit ◽  
Wireless Video ◽  
Central Processing ◽  
Video Sensors ◽  
Video Sensor

Design and implement an energy-efficient smart camera mote architecture to be used as surveillance device for assisted living. Add the Passive Infrared Sensor (PIR) to WVSN, PIR detect the human or animal’s moving, then it triggers the camera to wake up. The image captured will be grayscale processing by the central processing unit. Camera sensor nodes transmit a grayscale image over wireless channel to master control station. It offers reduced complexity, response time, and power consumption over conventional solutions. By experimental results from the test illustrate that performance of the designed wireless image sensor is better than the exiting ones in the market in terms of received signal strength intensity (RSSI) and packet rate ratio (PRR) with respect to the distance. This scheme is less complicated than other wireless video sensor surveillance techniques, allowing resource-constrained video sensors to operate more reliably and longer.

Wireless Video Sensor Networks

2011 ◽  
pp. 40-58 ◽  
Author(s):  
Abdelrahman Elamin ◽  
Varun Jeoti ◽  
Samir Belhouari
Keyword(s):  
Video Coding ◽  
Low Complexity ◽  
Video Codec ◽  
Sensor Nodes ◽  
Wireless Video ◽  
Wireless Video Sensor Networks ◽  
Video Application ◽  
Video Sensors ◽  
Video Sensor Networks ◽  
Video Sensor

Wireless Video Sensors Networks (WVSNs) generally suffer from the constraint that their sensor nodes must consume very little power. In this rapidly emerging video application, the traditional video coding architecture cannot be used due to its high encoding complexity. Thankfully, some theorems from Information Theory suggest that this problem can be solved by shifting the encoder tasks, partially or totally, to the decoder. These theorems are employed in the design of so-called Distributed Video Coding (DVC) solutions, the subject matter of this chapter. The chapter not only introduces the DVC but also reviews some important developments of the popular Stanford Wyner-Ziv coding architecture and caps it with latest research trends highlighting a Region-Based-Wyner-Ziv video codec that enables low-complexity encoding while achieving high compression efficiency.

Nodes' Adjacency Relation of Video Sensor Network Based on GIS and GPS

2014 ◽  
Vol 687-691 ◽  
pp. 3675-3678
Author(s):  
Guo Liang Tang ◽  
Zhi Jing Liu ◽  
Jing Xiong
Keyword(s):  
Sensor Network ◽  
Road Network ◽  
Large Scale ◽  
Sensor Nodes ◽  
Abnormal Behavior ◽  
Sorting Algorithm ◽  
The Road ◽  
Video Sensors ◽  
Video Sensor ◽  
Relationship Of

As far as the large-scale video surveillance sensor network in urban road and highway, the relay-surveillance on abnormal behavior or particular targets is one of the hot focuses of in recent researches, while the establishment of adjacency relationship of the neighbor sensor nodes is the basis of the sensor scheduling for the relay-surveillance. The topology of a road network is generated according to the road information, which has already existed in the geographic information systems (GIS) regarding the road intersections as nodes and the section between the two intersections as the edge. The initial topology of relay-adjacency relationship between sensors is built by that each video sensor is deployed at the each intersection and the section of the each two intersections is regarded as the basis of adjacency between the each two sensors. When a new video sensor is to be deployed in a section of a road, the related deployed sensors in same section are searched by using the spatial index of GIS based on its GPS information, and then the adjacency relationship between the new sensor and the related ones is generated by using the sorting algorithm according to their GPS information. By using the road network information that has already existed in the GIS system, the algorithm on establishing the relay-adjacency relationship of video sensors is simple and simpler to implement, and it can be used in the construction of sensor relay-surveillance topology such as automatic real-time tracking on abnormal behavior or the analysis of the escape routes and so on in city roads, highway, smarter cities and smarter planet.

scholarly journals An ARM based Network of Wireless Sensors for Plant Health Monitoring

2020 ◽  
Vol 9 (3) ◽  
pp. 433-437
Keyword(s):  
Wireless Sensors ◽  
Base Station ◽  
Sensor Nodes ◽  
Processing Unit ◽  
Universal Serial Bus ◽  
Smart System ◽  
Central Processing ◽  
Effective Combination ◽  
Zigbee Protocol ◽  
The Internet Of Things

In the present age, the Internet of Things (IoT) is turning into an essential part of our day by day existence with the new innovative improvements. The objective of this project is to utilize the IoT with a smart system of wireless sensors to observe plant healthiness and watch larvae populace in a remote yield field. A wireless sensor network is proposed in this setting to recognize larvae and calculate certain gadget parameters, namely, the Acoustic Complexity Index (ACI), temperature, humidity and soil moisture. The information of the sensors is gathered through a serial port through the front end sensing node built with a STM32F407VG board. The leading group of STM32F407VG depends on the processor of Advanced RISC Machine (ARM). Utilizing a remote ZigBee protocol, the node information is transmitted to a base station. Information from a gathering of sensor nodes is obtained by the base station. This information is transmitted by means of the Universal Serial Bus (USB) association between the base station and the Central Processing Unit (CPU). On the CPU, this information is examined utilizing the clearly planned application dependent on MATLAB. The discoveries will be shown and put away on the CPU and logged by means of Thingspeak liaison on the cloud too. At any moment, it requires access to this data globally. An auspicious contact and healing of the arranged yield field is accomplished. To accomplish the effective combination and execution of the modules, the unit parameters are changed. An experimental setup is used to test the proposed system operation. The results confirmed the proper functionality of the system.

scholarly journals Two-Vehicle Coordination System for Omnidirectional Transportation Based on Image Processing and Deviation Prediction

2021 ◽  
Author(s):  
Huajun Song ◽  
Yanqi Wu ◽  
Yuxing Wu ◽  
Guangbing Zhou ◽  
Chunbo Luo
Keyword(s):  
Image Processing ◽  
Manufacturing Industry ◽  
Cost Effective ◽  
Image Sensor ◽  
Mobile Platform ◽  
Normal Operation ◽  
Processing Unit ◽  
Mobile Platforms ◽  
Central Processing ◽  
Omnidirectional Mobile Platform

AbstractOmnidirectional mobile platform is essential due to its excellent mobility and versatility. With the development of the manufacturing industry, how to transport oversized or overweight goods has become a new problem. Compared with manufacturing omnidirectional mobile platforms with different specifications, it is more cost-effective and flexible to coordinate two non-physically connected omnidirectional platforms to transport overweight and oversized cargo. The roughness of the actual deployment environment and the mechanical deflection between the two vehicles have a significant impact on the normal operation of the system. This paper combines mechanical wheels, image processing algorithms and collaboration algorithms to create a novel and practical split-type omnidirectional mobile platform based on image deviation prediction for transporting oversized or overweighted goods. The proposed system collects raw measurements from a distance sensor and an image sensor, transmits them to a central processing unit through a wireless communication module and calculates and predicts the relative deflection between the two vehicles based on our derived mathematical model. This information is then fed to a Kalman filter and PID control algorithm to coordinate the two vehicles. The effectiveness and performance of our system have been thoroughly tested, which has already been applied in a bullet train production line.

scholarly journals An Adaptive Protection System for Sensor Networks Based on Analysis of Neighboring Nodes

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6116
Author(s):  
Ján Gamec ◽  
Elena Basan ◽  
Alexandr Basan ◽  
Alexey Nekrasov ◽  
Colin Fidge ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Cyber Security ◽  
Detection Method ◽  
Economic Effect ◽  
Sensor Nodes ◽  
Processing Unit ◽  
Sensor Systems ◽  
Central Processing ◽  
Consumer Services ◽  
Points Of View

Creation and operation of sensor systems is a complex challenge not only for industrial and military purposes but also for consumer services (“smart city”, “smart home”) and other applications such as agriculture (“smart farm”, “smart greenhouse”). The use of such systems gives a positive economic effect and provides additional benefits from various points of view. At the same time, due to a large number of threats and challenges to cyber security, it is necessary to detect attacks on sensor systems in a timely manner. Here we present an anomaly detection method in which sensor nodes observe their neighbors and detect obvious deviations in their behavior. In this way, the community of neighboring nodes works collectively to protect one another. The nodes record only those parameters and attributes that are inherent in any node. Regardless of the node’s functionality, such parameters include the amount of traffic passing through the node, its Central Processing Unit (CPU) load, as well as the presence and number of packets dropped by the node. Our method’s main goal is to implement protection against the active influence of an internal attacker on the whole sensor network. We present the anomaly detection method, a dataset collection strategy, and experimental results that show how different types of attacks can be distinguished in the data produced by the nodes.

scholarly journals Designing a Virtual Platform for Modeling Nodes in Wireless Sensor Networks at the Central Processing Unit Level: تصميم منصة برمجية افتراضية لنمذجة العقد ضمن شبكات الحساسات اللاسلكية على مستوى وحدة المعالجة المركزية

2021 ◽  
Vol 5 (5) ◽  
pp. 29-1
Author(s):  
Ghaidaa Mohammad Esber, Mothanna Alkubeily, Samer Sulaiman Ghaidaa Mohammad Esber, Mothanna Alkubeily, Samer Sulaiman
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Assembly Language ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Processing Unit ◽  
Wireless Sensor Nodes ◽  
Unit Level ◽  
Low Level ◽  
Central Processing

Wireless sensor network simulation programs provide representation for an actual system, without needing to deploy real testbed which is highly constrained by the available budget, and the direct operations inside physical layer in most of these programs are hidden and work implicitly. This is what motivated us to build a kernel for a virtual simulation platform to be able to simulate protocol operations and algorithms at the node processing unit level, The proposed system aims to observe the execution of operations at the low level of the wireless sensor physical infrastructure with the ability to modify at this level. That give the improvers of wireless sensor nodes the ability to test their ideas without needing to use physical environment. We have built the functionality operations which are related to the platform kernel at several stages. We defined (as a first step) the essential operations inside a virtual microprocessor that uses a partial set pf MIPS instructions, and built the kernel of minimized virtual WSN simulator depending on the proposed microprocessor, that means we can add any number of nodes inside the GUI of the WSN simulator kernel, and these nodes use the proposed virtual microprocessor . Then we improved this platform by adding the instruction set of a real microprocessor that is used in wireless sensor network nodes. Finally, (and to ease and simplify the interaction operation between program GUI of the platform kernel and the user), we have built simplified compiler that allows user to deal with microprocessor GUI inside each node, and to clarify protocol and algorithm operations by a set of orders and functions without needing to deal with low level language (Assembly language) in a direct way. The simulation results have presented high flexibility and performance to this platform in observing the operation sequence inside wireless sensor nodes at assembly level, in addition to focus on some parameters that are related to microprocessor inside each node.

Intelligent Surveillance and Image Transmission Based on Wireless Video Sensor Network

2012 ◽  
Vol 457-458 ◽  
pp. 690-695
Author(s):  
Cheng Bo Yu ◽  
Yu Xuan Liu ◽  
Yi Meng Zhang ◽  
Hong Bing Li
Keyword(s):  
Sensor Network ◽  
Image Transmission ◽  
Wireless Video ◽  
Intelligent Surveillance ◽  
Video Sensor
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