Development and Opportunity of Facial Recognition Technology in Transport Industry

Published: January 2018
No. of Pages: 30
Single User License: US $ 1600
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The public transportation and infrastructure sectors in the transport industry are characterized with a constant crowd flow and a large number of foreign visitors. In order to smooth out the flow of crowds and protect national security and tourists, biometric recognition technology that can shorten immigration inspection time and track suspects is increasingly needed, especially after the 911 terrorism attack. The biometric recognition technology currently employed by the transport industry for identification relies on biometric traits such as fingerprint, iris, and facial data. This report looks into a variety of application cases to analyze the use of facial recognition technology in the transport industry and the potential of the technology.

List of Topics

  • Development of facial recognition technology in the transport industry, touching on three purchases of the technology which are ID verification, attribute analysis, and human-machine interface
  • Application cases associating with transport management systems, which are mainly used for immigration inspection and crime tracking, and includes the detailed view of two cases: automated gate at Japanese Narita Airport, and security system at China's Hohhot Railway Bureau.
  • Application cases in the air transport industry and land transport industry, where facial recognition technology is mainly used for crime prevention and permission management, and includes the detailed view of three cases: KLM's boarding system, Uber's driver verification system in the United States, and Chinese Didi Chuxing's car rental system.
  • Application cases in the car and automotive electronics industries where the facial recognition technology is mainly used for driver alerts and behavior analysis, and includes the detailed view of two cases: Japanese Omron's driver concentration sensing technology and German Bosch's concept car
  • Analysis of the application cases of facial recognition, touching on how the technology has been employed in public transport, online car hailing services, and the car industry
  • Outlook for financial recognition in the transport industry, touching on opportunities in the areas of public transport and smart car

Companies covered

Advicy Drive, Affectiva, Alibaba, Apple, Beijing Xiaoju Technology, BMW, Bosch, British Airway, Careem, Craft Silicon, Denso, Didi Chuxing, Empatica, Fiat Chrysler Automobiles, Ford, Gentex, Gestigon, Grab, Honda, Jaguar Land Rover, KLM Royal Dutch Airlines, Lexus, Media Lab, Omron, Outerspace Design, Panasonic, Sober Steering, Softbank, Synaptics, Tencent, Thanko, Uber, Vigo, VoicalZoom

Published By: Market Intelligence & Consulting Institute, MIC
Product Code: Market Intelligence & Consulting Institute, MIC243


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