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Achieve Successful Facial-Recognition Technology
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