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Global adoption of facial recognition technology with special reference to India-Present status and future recommendations.
Guleria, Ankita; Krishan, Kewal; Sharma, Vishal; Kanchan, Tanuj.
Afiliación
  • Guleria A; Department of Anthropology, Panjab University, Chandigarh, India.
  • Krishan K; Department of Anthropology, Panjab University, Chandigarh, India.
  • Sharma V; Institute of Forensic Science and Criminology, Panjab University, Chandigarh, India.
  • Kanchan T; Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Med Sci Law ; 64(3): 236-244, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38263636
ABSTRACT
The face is the most essential part of the human body, and because of its distinctive traits, it is crucial for recognizing people. Facial recognition technology (FRT) is one of the most successful and fascinating technologies of the modern times. The world is moving towards contactless FRT after the COVID-19 pandemic. Due to its contactless biometric characteristics, FRT is becoming quite popular worldwide. Businesses are replacing conventional fingerprint scanners with artificial intelligence-based FRT, opening up enormous commercial prospects. Security and surveillance, authentication/access control systems, digital healthcare, photo retrieval, etc., are some sectors where its use has become essential. In the present communication, we presented the global adoption of FRT, its rising trend in the market, utilization of the technology in various sectors, its challenges and rising concerns with special reference to India and worldwide.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_medicamentos_vacinas_tecnologias Asunto principal: Reconocimiento Facial Automatizado / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Med Sci Law Año: 2024 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_medicamentos_vacinas_tecnologias Asunto principal: Reconocimiento Facial Automatizado / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Med Sci Law Año: 2024 Tipo del documento: Article País de afiliación: India
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