Displaying 2171 - 2180 of 245097
Title ID Year Country Genre Genre ID Technologies referenced Technologies referenced id Technologies used Technologies used id Topic Topic id Sentiment Sentiment id Situation machine vision is used in Situation machine vision is used in ID Characters Characters ID
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Investigate mutilated body) 2766 Batman 1478
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Investigate mutilated body) 2766 Simon Stagg 2765
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Investigate mutilated body) 2766 Anthony Lund 2768
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Investigate mutilated body) 2766 Alfred 2767
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Scan drone to locate weak points) 2769 Batman 1478
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Scan drone to locate weak points) 2769 Simon Stagg 2765
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Scan drone to locate weak points) 2769 Anthony Lund 2768
Batman: Arkham Knight 1458 Game 20003 3D scans 20001081 City 2000311 Empowering 2000318 Batman: Arkham Knight (Scan drone to locate weak points) 2769 Alfred 2767
Batman: Arkham Knight 1458 Game 20003 Augmented reality 200074 City 2000311 Empowering 2000318 Batman: Arkham Knight (Reconstruct biometric access) 1482 Batman 1478
Batman: Arkham Knight 1458 Game 20003 Augmented reality 200074 City 2000311 Empowering 2000318 Batman: Arkham Knight (Reconstruct biometric access) 1482 Simon Stagg 2765
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This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771800)