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Pandemic-Focused ID Systems

SenseTime's Biometric Identification System Identifies Masked Faces

— March 31, 2020 — Tech
Artificial Intelligence company SenseTime recently developed a biometric identification system that is specifically designed to identify masked faces.

The technology was launched in response to the ongoing COVID-19 pandemic that has mandated social distancing globally as a safety precaution. As China recovers from the pandemic -- with a number of businesses reopening and people slowly returning to work -- wearing protective masks has become the norm for the nation's residents.

With an increase in masked faces, China's businesses have found identification more challenging and SenseTime's new biometric identification system aims to tackle this issue. The facial recognition system specifically identifies those wearing masks and aims to remove inconsistencies and inaccuracies across China's current public facial recognition system.
Trend Themes
1. Masked Face Identification - Opportunity for AI companies to develop biometric identification systems that can accurately recognize and identify individuals wearing masks.
2. Enhanced Facial Recognition - Opportunity to improve existing facial recognition systems by incorporating features that can identify masked faces with high accuracy.
3. COVID-19 Response Technology - Opportunity for tech companies to develop innovative solutions to address the challenges posed by the COVID-19 pandemic, such as identifying individuals wearing masks.
Industry Implications
1. Artificial Intelligence - Artificial intelligence technology companies can develop and market biometric identification systems that can accurately identify and verify masked faces in various applications.
2. Security and Surveillance - Security and surveillance industries can benefit from enhanced facial recognition systems that can accurately identify individuals even when wearing masks, improving security measures and public safety.
3. Healthcare - Healthcare industry can utilize the technology to accurately identify individuals wearing masks, ensuring proper patient identification and enhancing security measures in medical facilities.
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