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Achieve Successful Facial-Recognition Technology

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The Pennsylvania Justice Network (JNET) is an online environment for authorized users to access public-safety and criminal-justice information, and serves over 800 law enforcement agencies across the state. The most invaluable tool for law enforcement officials is the facial-recognition technology, which is utilized to identify unknown suspects and witnesses.

However, this technology has serious limitations and cannot be supported by legacy solutions – one of them had to go.

Read this concise case study now to discover how JNET achieved successful facial-recognition technology with simplified usability, improved accuracy and conquered challenges including:

  • Labor-intensive data entry
  • Cumbersome user access
  • Low-matching accuracy
  • And more
Vendor:
NEC Corporation of America
Posted:
29 Apr 2014
Published:
28 Mar 2013
Format:
PDF
Length:
2 Page(s)
Type:
Case Study
Language:
English

This resource is no longer available.