scholarly journals Standards-compatible compression for automated image recognition in sensor networks and surveillance systems

2004 ◽  
Author(s):  
Mo Chen ◽  
Mark L. Fowler ◽  
Shuqun Zhang
Keyword(s):  
Sensor Networks ◽  
Image Recognition ◽  
Surveillance Systems ◽  
Automated Image Recognition

scholarly journals An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection

2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Forest Fire ◽  
Forest Fires ◽  
Network Architecture ◽  
Resource Constraints ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Fire Monitoring

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.

scholarly journals Developing the ArchAIDE application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition

2020 ◽  
Author(s):  
Francesca Anichini ◽  
Francesco Banterle ◽  
Jaume Buxeda i Garrigós ◽  
Marco Callieri ◽  
Nachum Dershowitz ◽  
...  
Keyword(s):  
Image Recognition ◽  
Digital Workflow ◽  
Archaeological Pottery ◽  
Automated Image Recognition

Sensor Networks for Underwater Ecosystem Monitoring and Port Surveillance Systems

2017 ◽  
pp. 431-467
Author(s):  
Ali Mansour ◽  
Isabelle Leblond ◽  
Denis Hamad ◽  
Luis Felipe Artigas
Keyword(s):  
Sensor Networks ◽  
Surveillance Systems ◽  
Ecosystem Monitoring

scholarly journals What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora

AoB Plants ◽  
2020 ◽  
Vol 12 (6) ◽  
Author(s):  
Hamlyn G Jones
Keyword(s):  
Image Recognition ◽  
Mobile Phones ◽  
Tablet Computers ◽  
Plant Identification ◽  
Higher Plant ◽  
Biodiversity Study ◽  
Good For ◽  
Automated Image Recognition

Abstract There has been a recent explosion in development of image recognition technology and its application to automated plant identification, so it is timely to consider its potential for field botany. Nine free apps or websites for automated plant identification and suitable for use on mobile phones or tablet computers in the field were tested on a disparate set of 38 images of plants or parts of plants chosen from the higher plant flora of Britain and Ireland. There were large differences in performance with the best apps identifying >50 % of samples tested to genus or better. Although the accuracy is good for some of the top-rated apps, for any quantitative biodiversity study or for ecological surveys, there remains a need for validation by experts or against conventional floras. Nevertheless, the better-performing apps should be of great value to beginners and amateurs and may usefully stimulate interest in plant identification and nature. Potential uses of automated image recognition plant identification apps are discussed and recommendations made for their future use.

scholarly journals Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Bilal Jan ◽  
Haleem Farman ◽  
Huma Javed ◽  
Bartolomeo Montrucchio ◽  
Murad Khan ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Hierarchical Clustering ◽  
Energy Efficient ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Grid Based

Wireless sensor networks (WSN) are one of the significant technologies due to their diverse applications such as health care monitoring, smart phones, military, disaster management, and other surveillance systems. Sensor nodes are usually deployed in large number that work independently in unattended harsh environments. Due to constraint resources, typically the scarce battery power, these wireless nodes are grouped into clusters for energy efficient communication. In clustering hierarchical schemes have achieved great interest for minimizing energy consumption. Hierarchical schemes are generally categorized as cluster-based and grid-based approaches. In cluster-based approaches, nodes are grouped into clusters, where a resourceful sensor node is nominated as a cluster head (CH) while in grid-based approach the network is divided into confined virtual grids usually performed by the base station. This paper highlights and discusses the design challenges for cluster-based schemes, the important cluster formation parameters, and classification of hierarchical clustering protocols. Moreover, existing cluster-based and grid-based techniques are evaluated by considering certain parameters to help users in selecting appropriate technique. Furthermore, a detailed summary of these protocols is presented with their advantages, disadvantages, and applicability in particular cases.

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