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Facial recognition software

Scenario Imagine a drive-through fast-food chain that recognizes customers using facial recognition software, and predicts their order based on their... [Pg.332]

Facial Recognition Accurate Image 80 - 90% Accuracy 4 a (sigma) Report Software Algorithm Tech Support 1 per Month/ Sample of Stores Contact Vendor Drive-up Plan.doc... [Pg.334]

Automated data capture is an important aspect in supply chain management and logistics. In the last decade, automated identification and data capture (AIDC) has revolutionized the overall supply chain managementprocess. AIDC includes technology to identify objects, and automatically collects data aboutthem and updates the data into software systems without human intervention. Some examples of AIDC technologies include bar codes, RFID, smart cards, voice and facial recognition, and so forth. [Pg.113]

Hakura, J., M. Kurematsu, and H. Fujita, "An Automatic Facial Expression Recognition Method Using Situational Information," The 7th New Trends in Software Methodologies, Tools and Techniques (SoMeT 08), lOS Press, pp. 290-306, 2008. [Pg.463]

See other pages where Facial recognition software is mentioned: [Pg.475]    [Pg.174]    [Pg.188]    [Pg.55]   
See also in sourсe #XX -- [ Pg.332 , Pg.333 , Pg.334 , Pg.335 , Pg.336 ]



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Facial recognition

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