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- Member of: Theses and Dissertations
Description
Wireless video sensor networks has been examined and evaluated for wide range
of applications comprising of video surveillance, video tracking, computer vision, remote
live video and control. The reason behind importance of sensor nodes is its ease
of implementation, ability to operate in adverse environments, easy to troubleshoot,
repair and the high performance level. The biggest challenges with the architectural
design of wireless video sensor networks are power consumption, node failure,
throughput, durability and scalability. The whole project here is to create a gateway
node to integrate between "Internet of things" framework and wireless sensor network.
Our Flexi-Wireless Video Sensor Node Platform (WVSNP) is a low cost, low
power and compatible with traditional sensor network where the main focus was on
maximizing throughput or minimizing node deployment. My task here in this project
was to address the challenges of video power consumption for wireless video sensor
nodes. While addressing the challenges, I performed analysis of predicting the nodes
durability when it is battery operated and to choose appropriate design parameters.
I created a small optimized image to boot up Wandboard DUAL/QUAD board, capture
videos in small/big chunks from the board. The power analysis was performed
for only capturing scenarios, playback of reference videos and, live capturing and realtime
playing of videos on WVSNP player. Each sensor node in sensor network are
battery operated and runs without human intervention. Thus to predict nodes durability,
for dierent video size and format, I have collected power consumption results
and based on this I have provided some recommendation of HW/SW architecture.
i
of applications comprising of video surveillance, video tracking, computer vision, remote
live video and control. The reason behind importance of sensor nodes is its ease
of implementation, ability to operate in adverse environments, easy to troubleshoot,
repair and the high performance level. The biggest challenges with the architectural
design of wireless video sensor networks are power consumption, node failure,
throughput, durability and scalability. The whole project here is to create a gateway
node to integrate between "Internet of things" framework and wireless sensor network.
Our Flexi-Wireless Video Sensor Node Platform (WVSNP) is a low cost, low
power and compatible with traditional sensor network where the main focus was on
maximizing throughput or minimizing node deployment. My task here in this project
was to address the challenges of video power consumption for wireless video sensor
nodes. While addressing the challenges, I performed analysis of predicting the nodes
durability when it is battery operated and to choose appropriate design parameters.
I created a small optimized image to boot up Wandboard DUAL/QUAD board, capture
videos in small/big chunks from the board. The power analysis was performed
for only capturing scenarios, playback of reference videos and, live capturing and realtime
playing of videos on WVSNP player. Each sensor node in sensor network are
battery operated and runs without human intervention. Thus to predict nodes durability,
for dierent video size and format, I have collected power consumption results
and based on this I have provided some recommendation of HW/SW architecture.
i
ContributorsShah, Tejas (Author) / Reisslein, Martin (Thesis advisor) / Kitchen, Jennifer (Committee member) / McGarry, Michael (Committee member) / Arizona State University (Publisher)
Created2014
Description
The effects that forensic-themed programs such as CSI: Crime Scene Investigation has on the public's understanding and expectations of the criminal justice system has been a main focus of study in recent years. This phenomenon was coined by the media and termed the "CSI Effect." This study aimed to research the correlations between age, gender, and program-watching habits on potential juries' evidence expectations in court. To do so, 70 people were surveyed and asked a series of demographic questions, as well as questions about how often they watch forensic-themed shows and their experience with the criminal justice system. They were given a mock crime scene scenario and asked about their scientific and non-scientific evidence expectations in this particular case. The most notable results showed that a longer exposure time to forensic-themed programs correlated to high evidence expectations. However, how often viewers watch forensic-themed programs did not seem to affect their evidence expectations. It was concluded that the higher evidence expectations by modern jurors may be due to a combination of the "CSI Effect" and the newly hypothesized "Tech Effect," instead of just being the consequence of the watching too much forensic-themed television.
ContributorsJones, Kristin Taylor (Author) / Kobojek, Kimberly (Thesis director) / Lafond, Sue (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor)
Created2014-05