face recognition
Use Case Description
There are already time-consuming and error-prone manual identification and verification processes as part of the facial recognition solutions. Using passwords or PINs is another typical approach, although they can be easily forgotten or compromised. Although they have been deployed, biometric technologies like iris and fingerprint scanning have limits in terms of accuracy and speed.This emphasizes the demand for a more secure and dependable system that can swiftly and reliably identify people in real-time.
AS-IS WORKFLOW, TO-BE WORKFLOW
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Other information about the use case
Industry categories for this use case: Customer Service, Finance, Information Technology and Services, Legal, Public Sector, Other Sector
Skill level required: Intermediate
UiPath Products that were used: UiPath Studio, UiPath Action Center, UiPath AI Center
Other applications that were used: Python,Face SDK, Artificial intelligence
Other resources: -
What is the top ROI driver for this use case?: Accelerate growth and operational efficiency