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| IWS Law Enforcement |
Improve identification of suspects with digital and facial recognition technologyIWS Law Enforcement is a scalable, easy-to-use booking, identification and investigation solution. Using both digital and facial recognition technology, law enforcement professionals can efficiently capture, store and retrieve critical criminal data including: mug shots, fingerprints, scars, marks and tattoos. The system consists of two primary components: a Capture Component and an Investigative Component. The Capture Component enables booking officers to digitally capture images, demographic and arrest information. The Investigative Component is used by officers to conduct searches and create line-ups and mug books. Law Enforcement improves data management for numerous processes, allowing:
Improving conviction rates
Fewer manual procedures ensure that time isn’t wasted on administration, while improved searching using facial recognition speeds up the process of identifying suspects. This can directly impact the time taken to apprehend and convict. Digital line-ups are much faster to compile than traditional line-ups – reducing the likelihood of ‘hostile witnesses’ who can be put off by long delays. Law Enforcement is used by New South Wales Police to improve mug book compilations and witness management. Mug books are produced at a rate of 2000 a month – compared to just 20 with the manual system. Designed with non-technical users in mind
Good technology should be both sophisticated and intuitive to use. Law Enforcement is specifically designed for less technical users and is easily configured to meet the demands of different agencies. Keeping costs to a minimum with simple system integration
Law Enforcement offers straightforward interfacing with third party systems - saving on the costs associated with replacing or updating existing infrastructures. Law Enforcement will integrate with:
Information sharing across sites
Systems can be shared not only between forces, but authorised agencies as well. Again preventing the kind of slowdowns that are experienced when transferring information across sites. |


