How Face Recognition Surveillance Cameras Will Help Stop Future Campus Killers
Facial Recognition Surveillance 101:
Facial Recognition Surveillance–Hidden passive surveillance cameras that can be set up to monitor an entrance way of any type of building to accurately identify a potential suspect, terrorist or wanted person against a database of millions of suspect images in less than one second.
Facial recognition surveillance systems have been deployed in casinos worldwide, performing one-to-many matching against a database of casino offenders.
Cost:
Adding biometrics to time and attendance processes, for example, helps prevent hourly employees from punching time cards for their absent friends, a practice that is estimated to cost employers hundreds of millions of dollars annually. A facial recognition server controlling access at a facility with up to 30,000 persons would cost about $15,000. As the size of the database and the number of attempted matches increased, so would a system’s cost.
Recognition:
In addition, because facial images can be captured from video cameras, facial recognition is the only biometric that can be used for surveillance purposes. Multiple biometrics could be two types of biometrics, such as combining facial and iris recognition. Although facial recognition performs much worse than fingerprint and iris recognition, it remains attractive because facial images are used in a wide variety of identification documents.
The performance of facial recognition technology is affected greatly by environmental factors, especially lighting conditions. Some people assume that the imaging of their irises will reveal their medical data, such as heart disease, diabetes, and high blood pressure, but images of the iris acquired for iris recognition reveal no information about a persons health.
Hand geometry and iris and facial recognition have been deployed at ATMs in North America, Europe, and Asia. Facial recognition is also being used for criminal identification, although the technology does not provide the same high degree of accuracy as the older technology. One prototype system integrates fingerprint and facial recognition technologies to improve identification.
Technology:
Until recently, face-recognition technology was fodder for science fiction. The facial recognition technology may replace human eyes that scan crowds for familiar faces. Improved cameras and equipment for surveillance have been implemented in a variety of venues in an attempt to increase accuracy of images provided to security personnel.
Why Facial?:
Facial recognition technology automates the processing of existing surveillance photography. Facial recognition software can be deployed on existing video surveillance systems. Facial recognition is used to compare people with matching names to determine whether the faces also match.
The device accurately authenticates a person’s identification document, takes a picture of the person and compares the facial photo to a database of known criminals or persons on the no-trespass list.
When an image is taken of a person’s face, the image is analyzed and compared with other photographic images of facial captures to determine if a match exists. The second scenario uses an automated facial recognition system at the ports of entry that can observe a person’s face and check the observed facial features against a watch list of people who should be denied access to the country.
For instance, for a surveillance system, the biometrics may be faces captured from mug shots provided by a law enforcement agency. The face is the only biometric used in a viable recognition technology that is able to operate without a user’s cooperation, since a CCTV camera need only capture a picture for the technology to generate a template. The system will capture a face biometric, which will be used in a search against a central criminal watch list database.
In addition, because facial images can be captured from video cameras, facial recognition is the only biometric that can be used for surveillance purposes.
This makes an identification system more suitable for surveillance in conjunction with closed-circuit television (CCTV) to spot suspected criminals whose facial characteristics have been captured and stored in a database on a template. The technology can perform a one-to-many match against this database in less than 15 seconds, and about 15,000 images are captured daily. The more data that is captured the better the potential for achieving high performance levels.
Department of Defense contract for the continued development of facial-recognition surveillance systems usable in operational environments and suitable for use in high-security applications. Increased security concerns have created a need for reliable forms offacial recognition.
Some systems simply measure distances between the eyes, nose and other facial features, while others attempt to compare and categorize facial features against a table of different pre-determined nose, eye, and mouth shapes. However, in high volume applications that use images, such as drivers license programs, facial recognition surveillance and/or authentication systems, or national ID programs, it may not be feasible to use portrait photographs submitted by the applicant as the image source.
Regardless of the method used, an enrollment process is required to capture a biometric sample, extract and encode the sample as a biometric template, and store the data in a database for future comparisons.
Benefits:
Once that identity is established, the benefits of strongly binding the individual to that identity can be gained.
By examining the attributes of the target device, the attributes applied to the subject are also known.
Now experts in Facial Recognition Surveillance are actively trying to use this technology to try and save lives on school campuses where students may turn on their fellow classmates and/or teachers.
NIU (Northern Illinois University) killings show great vulnerability despite efforts to secure schools. Students uneasy Stephen Kazmierczak Photo ‘I saw him shoot my teacher ‘Video Shooting at Northern Illinois University Photos NIU shooting victims Photos Northern Illinois University gunman Stephen Kazmierczak.
Facial Recognition Surveillance are being worked on that will store the face and many other details about students and in particular, the medications and other potential vital information that may link the student to having potential killing instincts on classmates and/or teachers.
The objective is to place facial recognition cameras and systems throughout campus classrooms and other open areas. As soon as a potentially “dangerous” student is detected on camera, an alert to security teams is sent out and officers are dispatched to try and head off more shootings or prevent attacks all together.
Faces are detected, recognized against database, and stored. Therefore any person appears near the cameras are captured – this is a more effective way of surveillance than a corner CCTV camera because the facial images are always clear and recognizable.
Soon this technology may not avoid human tragedy but may help save as many young lives as possible.
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