Download presentation
Presentation is loading. Please wait.
Published byIsabella Walton Modified over 9 years ago
1
Sarchrmalsha Sarah Wilson, Christine Martin, Mallory Lehr, and Shania Wright 2-14-13 3A
2
Mission Statement Our mission at Sarchrmalsha is to establish the best quality security systems in the country for large businesses and corporations. We strive to provide the most advanced and efficient technology for your protection.
3
Airport
4
Security Plan The first thing we would do to improve safety is further advance the security already in place at the airport security checkpoints. Before each traveler can pass through security, they must pass a retinal and fingerprint test to confirm their identity. After the results are affirmed, they will be sent to the traveler’s gate and used to reconfirm their identity before he or she boards the plane.
5
Security Plan The next security feature we would install is additional fingerprint and eye scanners to be able to enter the plane’s cockpit. This would reduce hijackers’ ability to take over the plane. If a problem occurs in the cockpit, flight attendants would be able to call air control to open the doors.
6
Security Plan Finally, we would install facial recognition software on the ground terminals to ensure that only correct airplane personnel are working with the planes.
7
Science Behind Retinal Scanners The retinal scan uses a low-intensity light source and a delicate sensor to scan the pattern of blood vessels at the back of the retina, a pattern unique to each individual. During a retinal scan, the user must remove glasses, stare at a specific point, and hold their head still for the 10-15 seconds it takes to complete the scan.
8
Science Behind Fingerprint inverted image Scanners First, you place your finger on a glass plate and a CCD camera takes a picture. The scanner has its own light source, typically an array of light-emitting points, to illuminate the ridges of the finger. The CCD system actually generates an of the finger, with darker areas representing more reflected light (the ridges of the finger) and lighter areas representing less reflected light (the valleys between the ridges).
9
Science Behind Facial Recognition Software Every face has numerous, distinguishable landmarks which are the different peaks and valleys that make up facial features. Each human face has approximately 80 “nodal points” which are sub-points of these landmarks. Some of the ones measured by the software are distance between the eyes, width of the nose, depth of the eye sockets, the shape of the cheekbones, and the length of the jaw line.
10
Pictures and Diagrams
12
Accuracy and Limitations of Techniques Retinal Scanners – Accuracy: Nearly 100% – Limitations: People who are blind or have cataracts Fingerprint Scanners – Accuracy: 95-98% – Limitations: Accuracy varies depending on gender, racial characteristics, and chemical residue on the fingers, e.g. pool chlorine or household cleansers Facial Recognition Software – Accuracy: 80-90% – Limitations: Results vary depending on lighting and the angle at which the face is presented as well as the gender and age of the person being scanned
13
Success Story In several casinos in Los Vegas, there had been reports of a group of gamblers cheating with hand tricks. Police identified suspects from past reports of people who had been caught cheating and gave their pictures out to the casinos. The casinos put the pictures in their databases for the facial recognition software and within a week the system had identified members of the group. The cheaters were caught and banned from the casinos.
14
Beating the System Retinal Scans – What people could do: Some iris scanners have been defeated by holding up a high-resolution photo of an "authorized" eye, with a hole cut to reveal the faker's actual pupil – Why it would be hard: It’s very difficult to fake because no technology exists that allows the forgery of a human retina, and the retina of a deceased person decays too fast to be used to fraudulently bypass a retinal scan
15
Beating the System Fingerprint Scans – What people could do: Japanese researcher Tsutomu Matsumoto demonstrated several ways to create a fake fingerprint out of gelatin that could be worn by an identity thief – Why it would be hard: Airport officials would notice if a traveler was wearing something on his/her finger
16
Beating the System Facial Recognition Software – What people could do: Some systems have been defeated by holding up photographs of authorized personnel to the camera – Why it would be hard: Other employees would probably notice a photograph in front of someone’s face
17
Privacy Issues People may feel violated by the system, but it’s in place to keep them safe Results would never be distributed outside the airport unless officials have a good reason to do so There would also be a clause when you buy the ticket that says this is what you are agreeing to At least its not DNA
18
“Bad boys, bad boys, whatcha gonna do, whatcha gonna do, when we scannnnn youuu. Bad boys, bad boys, we got your DNA, can’t fake your face, we’ll get your fingerprints today…bad boys…whattt whatt…bad boys...oh yeah…bad boyzzzz…brought to you by sarchrmalsha incorporated©”
19
Sources (2012). Biometrics: From Reel to Real. Retrieved from http://pcworld.about.net/news/May182005id120889.htm http://pcworld.about.net/news/May182005id120889.htm (2012). How Does a Retinal Scan Work? Retrieved from http://www.wisegeek.com/how-does-a-retinal- scan-work.htmhttp://www.wisegeek.com/how-does-a-retinal- scan-work.htm (2012). How Fingerprint Scanners Work. Retrieved from http://computer.howstuffworks.com/fingerprint- scanner2.htmhttp://computer.howstuffworks.com/fingerprint- scanner2.htm (2012) Biometric Eye Scans. Retrieved from http://www.enotes.com/biometric-eye-scans- reference/biometric-eye-scanshttp://www.enotes.com/biometric-eye-scans- reference/biometric-eye-scans
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.