FACIAL RECOGNITION SYSTEM~BIODENTITY~ Airport Security
Super High Resolution Camera and Laser~Was $15,000.00
| Start Price |
USD 4,500.00 |
| Current Price |
USD 4,500.00 |
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| Start Time |
Thursday, November 13, 2008 |
| End Time |
Saturday, December 13, 2008 |
| Location |
Columbus, Ohio |
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See more about 'FACIAL RECOGNITION SYSTEM~BIODENTITY~ Airport Security'
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Description
For Shipping Quote Please contact Us! You are bidding on these BIODENTITY SYSTEM CORPORATION BIOMETRIC FACIAL PROCESSORS. THESE UNITS ARE MODEL PREPROCESSOR 100T with CASES INCLUDED. Unit 1 has the camera, laser, wireless network adapter, and a computer present. Unit 2 is a slave unit with the camera, laser, and a wireless network adapter to communicate with the master unit. These units are used for Airport, Court House, State, Government, Military and many other agencies. These units are exactly as pictured and as is. We are not familiar with this type of equipment so do all your research before you bid. this equipment may or may not Require additional components or software to be fully functional. Aquired value is $15,000.00 each The following information was copied from a company website that sells similar equipment. Davis Miller Enterprise makes no claim that the items in this listing are, or are not, exactly as represented below. by Ryan Johnson and Kevin Bonsor Inside This Article 1. Introduction to How Facial Recognition Systems Work 2. 3D Facial Recognition 3. Surface Texture Analysis 4. Current and Future Uses of Facial Recognition Systems 5. Lots More Information 6. See all Authentication articles 3D Facial Recognition Photo © A4Vision, Inc.The Vision 3D + 2D ICAO camera is used to perform enrollment, verification and identification of 3D and 2D face images.A newly-emerging trend in facial recognition software uses a 3D model, which claims to provide more accuracy. Capturing a real-time 3D image of a person's facial surface, 3D facial recognition uses distinctive features of the face -- where rigid tissue and bone is most apparent, such as the curves of the eye socket, nose and chin -- to identify the subject. These areas are all unique and don't change over time. Using depth and an axis of measurement that is not affected by lighting, 3D facial recognition can even be used in darkness and has the ability to recognize a subject at different view angles with the potential to recognize up to 90 degrees (a face in profile). Using the 3D software, the system goes through a series of steps to verify the identity of an individual. DetectionAcquiring an image can be accomplished by digitally scanning an existing photograph (2D) or by using a video image to acquire a live picture of a subject (3D). AlignmentOnce it detects a face, the system determines the head's position, size and pose. As stated earlier, the subject has the potential to be recognized up to 90 degrees, while with 2D, the head must be turned at least 35 degrees toward the camera. MeasurementThe system then measures the curves of the face on a sub-millimeter (or microwave) scale and creates a template. Photo courtesy -->CAPTION--> RepresentationThe system translates the template into a unique code. This coding gives each template a set of numbers to represent the features on a subject's face. Matching If the image is 3D and the database contains 3D images, then matching will take place without any changes being made to the image. However, there is a challenge currently facing databases that are still in 2D images. 3D provides a live, moving variable subject being compared to a flat, stable image. New technology is addressing this challenge. When a 3D image is taken, different points (usually three) are identified. For example, the outside of the eye, the inside of the eye and the tip of the nose will be pulled out and measured. Once those measurements are in place, an algorithm (a step-by-step procedure) will be applied to the image to convert it to a 2D image. After conversion, the software will then compare the image with the 2D images in the database to find a potential match. Verification or IdentificationIn verification, an image is matched to only one image in the database (1:1). For example, an image taken of a subject may be matched to an image in the Department of Motor Vehicles database to verify the subject is who he says he is. If identification is the goal, then the image is compared to all images in the database resulting in a score for each potential match (1:N). In this instance, you may take an image and compare it to a database of mug shots to identify who the subject is. Next, we'll look at how skin biometrics can help verify matches. Surface Texture Analysis The image may not always be verified or identified in facial recognition alone. Identix® has created a new product to help with precision. The development of FaceIt®Argus uses skin biometrics, the uniqueness of skin texture, to yield even more accurate results. Photo courtesy -->The surface texture analysis (STA) algorithm operates on the top percentage of results as determined by the local feature analysis. STA creates a skinprint and performs either a 1:1 or 1:N match depending on whether you're looking for verification or identification. The process, called Surface Texture Analysis, works much the same way facial recognition does. A picture is taken of a patch of skin, called a skinprint. That patch is then broken up into smaller blocks. Using algorithms to turn the patch into a mathematical, measurable space, the system will then distinguish any lines, pores and the actual skin texture. It can identify differences between identical twins, which is not yet possible using facial recognition software alone. According to Identix, by combining facial recognition with surface texture analysis, accurate identification can increase by 20 to 25 percent. FaceIt currently uses three different templates to confirm or identify the subject: vector, local feature analysis and surface texture analysis. The vector template is very small and is used for rapid searching over the entire database primarily for one-to-many searching. The local feature analysis (LFA) template performs a secondary search of ordered matches following the vector template. The surface texture analysis (STA) is the largest of the three. It performs a final pass after the LFA template search, relying on the skin features in the image, which contains the most detailed information. By combining all three templates, FaceIt® has an advantage over other systems. It is relatively insensitive to changes in expression, including blinking, frowning or smiling and has the ability to compensate for mustache or beard growth and the appearance of eyeglasses. The system is also uniform with respect to race and gender. Photo © Identix Inc.Poor lighting can make it more difficult for facial recognition software to verify or identify someone. However, it is not a perfect system. There are some factors that could get in the way of recognition, including: Significant glare on eyeglasses or wearing sunglasses Long hair obscuring the central part of the face Poor lighting that would cause the face to be over- or under-exposed Lack of resolution (image was taken too far away) Identix isn't the only company with facial recognition systems available. While most work the same way FaceIt does, there are some variations. For example, a company called Animetrix, Inc. has a product called FACEngine ID® SetLight that can correct lighting conditions that cannot normally be used, reducing the risk of false matches. Sensible Vision, Inc. has a product that can secure a computer using facial recognition. The computer will only power on and stay accessible as long as the correct user is in front of the screen. Once the user moves out of the line of sight, the computer is automatically secured from other users. Due to these strides in technology, facial and skin recognition systems are more widely used than just a few years ago. In the next section, we'll look at where and how they are being used and what's in store for the future. Current and Future Uses of Facial Recognition Systems In the past, the primary users of facial recognition software have been law enforcement agencies, who used the system to capture random faces in crowds. Some government agencies have also been using the systems for security and to eliminate voter fraud. The U.S. government has recently begun a program called US-VISIT (United States Visitor and Immigrant Status Indicator Technology), aimed at foreign travelers gaining entry to the United States. When a foreign traveler receives his visa, he will submit fingerprints and have his photograph taken. The fingerprints and photograph are checked against a database of known criminals and suspected terrorists. When the traveler arrives in the United States at the port of entry, those same fingerprints and photographs will be used to verify that the person who received the visa is the same person attempting to gain entry. Photo courtesy U.S. Department of Homeland SecurityJim Williams, head of US-VISIT, former Secretary Tom Ridge and former Commissioner Robert Bonner launch US-VISIT in Atlanta, Georgia. However, there are now many more situations where the software is becoming popular. As the systems become less expensive, making their use more widespread. They are now compatible with cameras and computers that are already in use by banks and airports. The TSA is currently working on and testing out its Registered Traveler program. The program will provide speedy security screening for passengers who volunteer information and complete a security threat assessment. At the airport there will be specific lines for the Registered Traveler to go through that will move more quickly, verifying the traveler by their facial features. Other potential applications include ATM and check-cashing security. The software is able to quickly verify a customer's face. After a customer consents, the ATM or check-cashing kiosk captures a digital image of him. The FaceIt software then generates a faceprint of the photograph to protect customers against identity theft and fraudulent transactions. By using the facial recognition software, there's no need for a picture ID, bankcard or personal identification number (PIN) to verify a customer's identity. This way businesses can prevent fraud from occurring. Time Tracking A4Vision, a creator of facial recognition software, is currently marketing a system that will keep track of employees' time and attendance. Their Web site states that it will prohibit "buddy punching," which will cut down on security risks and decreased productivity. While all the examples above work with the permission of the individual, not all systems are used with your knowledge. In the first section we mentioned that systems were used during the Super Bowl by the Tampa Police, and in Ybor City. These systems were taking pictures of all visitors without their knowledge or their permission. Opponents of the systems note that while they do provide security in some instances, it is not enough to override a sense of liberty and freedom. Many feel that privacy infringement is too great with the use of these systems, but their concerns don't end there. They also point out the risk involved with identity theft. Even facial recognition corporations admit that the more use the technology gets, the higher the likelihood of identity theft or fraud. As with many developing technologies, the incredible potential of facial recognition comes with some drawbacks, but manufacturers are striving to enhance the usability and accuracy of the systems. 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SecurIDent technologies and applications capture and process images and facial biometric samples for face recognition from live individuals, photos and image databases. SecurIDent solutions provide a complete range of cameras, software and integrated solutions addressing the growing security concerns faced by governments, businesses and organizations: Providing secure issuance of passports, visas and a wide range of identification documents Securing national borders Protecting critical infrastructures and key assets Strengthening aviation security Enhancing law enforcement SecurIDent solutions allow users to capture images of multiple subjects in high and low-traffic areas, normalize the images (correct for contrast, lighting, and a subject’s position), and compare them against or download them to a local or remote image database in seconds. 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