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Under the next generation identification initiative, an irisprint database is likely to be added to the FBI's existing fingerprint and DNA databases.
The US government is currently building the largest biometrics database in the world with Next Generation Identification, a system meant to help identify criminals.
The FBI first launched its advanced biometric database, Next Generation Identification, in 2010, augmenting the old fingerprint database with further capabilities including facial recognition.
The FBI's Next Generation Identification System uses facial recognition to compare images from crime scenes with a national database of mug shots.
The Federal Bureau of Investigation has spent more than $1 billion on its Next Generation Identification program, which includes facial-recognition technology.
The F.B.I. is also working on internal improvements, including the Next Generation Identification program, an upgrade to the existing fingerprint identification system, which will improve disposition reporting, while a related initiative will enable efficient electronic updates.
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Initial queries about the program from the EFF, Franken and others referred to the Next Generation Identification-Interstate Photo System (NGI-IPS, or NGI), which allows the FBI and some state and local agencies to cross-reference surveillance camera footage and other photographs with its collection of candidate photos.
Briefly summarized: do some serious testing of the Next Generation Identification-Interstate Photo System (NGI-IPS) to make sure it does what they think it does, follow that with annual testing to make sure it's meeting needs and operating as intended, and audit external facial recognition programs for accuracy as well.
There is also potential for DRM technology to be fused with open file formats, such as MP3, through next-generation identification technologies.
Introduces radio frequency identification (RFID) as the next generation of automatic identification technologies that is expected to improve the performance of retail supply chains through reduced shrink, increased product availability, and improved labor productivity.
Tiwari, A. et al. Next generation sequencing based identification of disease-associated mutations in Swiss patients with retinal dystrophies.
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