Displaying 244811 - 244820 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
The Flower of Shazui 615 China Narrative 20001 Body scans 200090 Surveillance 200052 The Flower of Shazui (Shaman predicts future) 616 Big Sister Shen 644
The Flower of Shazui 615 China Narrative 20001 Body scans 200090 Surveillance 200052 The Flower of Shazui (Shaman predicts future) 616 Snow Lotus 1462
The Flower of Shazui 615 China Narrative 20001 Body scans 200090 Surveillance 200052 The Flower of Shazui (Shaman predicts future) 616 Anonymous individual 783
The Flower of Shazui 615 China Narrative 20001 Body scans 200090 Surveillance 200052 The Flower of Shazui (Augmented reality contact lenses) 1463 Big Sister Shen 644
The Flower of Shazui 615 China Narrative 20001 Body scans 200090 Surveillance 200052 The Flower of Shazui (Augmented reality contact lenses) 1463 Snow Lotus 1462
The Flower of Shazui 615 China Narrative 20001 Body scans 200090 Surveillance 200052 The Flower of Shazui (Augmented reality contact lenses) 1463 Anonymous individual 783
The Flower of Shazui 615 China Narrative 20001 Facial recognition 20007 City 2000311 The Flower of Shazui (Shaman predicts future) 616 Big Sister Shen 644
The Flower of Shazui 615 China Narrative 20001 Facial recognition 20007 City 2000311 The Flower of Shazui (Shaman predicts future) 616 Snow Lotus 1462
The Flower of Shazui 615 China Narrative 20001 Facial recognition 20007 City 2000311 The Flower of Shazui (Shaman predicts future) 616 Anonymous individual 783
The Flower of Shazui 615 China Narrative 20001 Facial recognition 20007 City 2000311 The Flower of Shazui (Augmented reality contact lenses) 1463 Big Sister Shen 644
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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)