Integrated roadmap for the rapid finding and tracking of people at large airports

Deep Learning-Based Real-Time Weapon Detection System

“…The security guards receive an image of what is happening in that building area and respond accordingly. It is worth noting that this work does not extend to concealed weapons [15], nor the detection of suspects based on worrying expressions or unnatural behavior [16]. It is also not concerned with predicting crimes or robberies before they happen [17].…”

Ready for digital transformation? The effect of organisational readiness, innovation, airport size and ownership on digital change at airports

“…The main types are proximity, pressure, optical and motion sensors ( Halpern et al, 2021 ; Zmud et al, 2018 ). Airport initiatives involving sensors are covered extensively in transportation literature, for instance, regarding biometrics ( del Rio et al, 2016 ; Haas, 2004 ; Kalakou et al, 2015 ; Morosan, 2016 ; Negri et al, 2019 ), people tracking ( Adey, 2004 ; Bouma et al, 2016 ) and queue prediction ( Chiti et al, 2018 ).…”

“…The extent to which airports address organisational challenges associated with transforming their business is therefore expected go some way to determining digital change ( Halpern et al, 2021 ). Despite this, organisational challenges associated with digital change have been overlooked in transportation literature where instead, the focus tends to be on technologies, for instance in terms of the use of them at airports or use cases for the future ( Adey, 2004 ; Bouma et al, 2016 ; Chiti et al, 2018 ; del Rio, 2016 ; Eschen et al, 2018 ; Haas, 2004 ; Halpern and Regmi, 2013 ; Lee et al, 2014 ; Martin-Domingo and Martín, 2016 ; Straker and Wrigley, 2018 ; Wattanacharoensil and Schuckert, 2015 ); issues associated with passenger acceptance of them ( Gures et al, 2018 ; Morosan, 2016 ; Negri et al, 2019 ; Wittmer, 2011 ); or their impact on passenger behaviour ( Castillo-Manzano and López-Valpuesta, 2013 ), airport service quality ( Brida et al, 2016 ; Chen et al, 2015 ; Pitt et al, 2002 ) or airport capacity ( Kalakou et al, 2015 ). Knowledge of the organisational challenges remains largely anecdotal – described in the reports of industry associations or consulting firms advising airports how to prepare for digital transformation ( ACI, 2017 ; Boutin et al, 2016 ; Pell and Blondel, 2018 ).…”

A "smart" és automatizált repülőterek jellemzőinek feltárása

“…pozíció adatok megadása) és/vagy saját maga is ad meg adatokat (pl. crowd sourcing) a pontosabb és személyre szabott információszolgáltatás érdekében [6], • "papírmentes" utazás jellemzi, adatait informatikai eszközein tárolja, • megbízik az eszközök által szolgáltatott adatok információtartalmában, • gyorsan felismeri az új eljárásokat és a gépi eszközök működését; azokhoz együttműködő módon alkalmazkodik.…”