Improvement of privacy protection surveillance camera system and its applications

2018 ◽  
Author(s):  
Kota Hoshino ◽  
Keiichi Iwamura ◽  
Kitahiro Kaneda
Keyword(s):  
Privacy Protection ◽  
Camera System ◽  
Surveillance Camera

scholarly journals Machine Gaze: Self-Identification Through Play With a computer Vision-Based Projection and Robotics System

2020 ◽  
Vol 7 ◽  
Author(s):  
RAY LC ◽  
Aaliyah Alcibar ◽  
Alejandro Baez ◽  
Stefanie Torossian
Keyword(s):  
Computer Vision ◽  
Large Scale ◽  
Adult Life ◽  
Self Awareness ◽  
Camera System ◽  
Surveillance Camera ◽  
Intelligent Machines ◽  
Construction Of Self ◽  
Human Faces ◽  
The Way

Children begin to develop self-awareness when they associate images and abilities with themselves. Such “construction of self” continues throughout adult life as we constantly cycle through different forms of self-awareness, seeking, to redefine ourselves. Modern technologies like screens and artificial intelligence threaten to alter our development of self-awareness, because children and adults are exposed to machines, tele-presences, and displays that increasingly become part of human identity. We use avatars, invent digital lives, and augment ourselves with digital imprints that depart from reality, making the development of self-identification adjust to digital technologies that blur the boundary between us and our devices. To empower children and adults to see themselves and artificially intelligent machines as separately aware entities, we created the persona of a salvaged supermarket security camera refurbished and enhanced with the power of computer vision to detect human faces, and project them on a large-scale 3D face sculpture. The surveillance camera system moves its head to point to human faces at times, but at other times, humans have to get its attention by moving to its vicinity, creating a dynamic where audiences attempt to see their own faces on the sculpture by gazing into the machine's eye. We found that audiences began attaining an understanding of machines that interpret our faces as separate from our identities, with their own agendas and agencies that show by the way they serendipitously interact with us. The machine-projected images of us are their own interpretation rather than our own, distancing us from our digital analogs. In the accompanying workshop, participants learn about how computer vision works by putting on disguises in order to escape from an algorithm detecting them as the same person by analyzing their faces. Participants learn that their own agency affects how machines interpret them, gaining an appreciation for the way their own identities and machines' awareness of them can be separate entities that can be manipulated for play. Together the installation and workshop empower children and adults to think beyond identification with digital technology to recognize the machine's own interpretive abilities that lie separate from human being's own self-awareness.

Stolen at the pump: an empirical analysis of risk factors on gas pump skimmer fraud attacks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Scott H. Belshaw ◽  
Brooke Nodeland
Keyword(s):  
Rural Areas ◽  
Personal Identification ◽  
State Agency ◽  
Specific Information ◽  
Unique Contribution ◽  
Camera System ◽  
Payment Card ◽  
Content Type ◽  
Surveillance Camera ◽  
Gas Stations

Purpose The purpose of this study is to examine the characteristics of gas stations where skimmer attacks occurred in a sample of Texas gas stations between 2019 and 2021. This paper seeks to contribute to the literature related to payment card fraud at the gas pump by providing one of the first examinations of the gas stations where gas pump skimming is known to have occurred. Design/methodology/approach Using data collected from a Texas state regulatory agency between 2021, the authors examine characteristics of gas stations where a gas pump skimming was detected. Findings Results suggest that the presence of a surveillance camera system was significantly related to gas pump skimmer detection for gas stations in both urban and rural areas. Europay chip readers were not present in any of the pumps where a skimmer attack was detected. Originality/value Gas pump skimming is a form of payment card fraud that costs upwards of US$11bn a year in the USA alone. Gas pump skimming occurs when electronic devices are illegally installed fuel pumps to capture data or record cardholders’ personal identification numbers. This is among the first studies to use data obtained from a state agency with specific information regarding each individual occurrence of gas pump skimming. As such, the paper makes a unique contribution by exploring specific characteristics of gas stations where skimming and ultimately payment card fraud, occurred.

scholarly journals A review of Dairi EYE Lock in security camera system with privacy protection

2010 ◽  
Vol 2 (1) ◽  
pp. 95-99
Author(s):  
Shuhei Hommoh ◽  
Koichi Maru ◽  
Kohjiro Kobayashi ◽  
Yu Eguchi ◽  
Yoichi Sugita ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Camera System ◽  
Lock In

Motion detection of the low-cost surveillance camera system

2000 ◽  
Author(s):  
Soonhac Hong ◽  
JunHeoun Hwang ◽  
Byung D. Nam
Keyword(s):  
Motion Detection ◽  
Low Cost ◽  
Camera System ◽  
Surveillance Camera

Fast zooming and focusing algorithm for real-time surveillance camera system

2004 ◽  
Author(s):  
Piljae Song ◽  
Jungryoul Choi ◽  
Mincheol Hong ◽  
Hernsoo Hahn
Keyword(s):  
Real Time ◽  
Camera System ◽  
Surveillance Camera
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