Xiaoshan Airport Facial-Recognition Security & One-ID Travel
Hangzhou Xiaoshan International Airport adopted Alibaba Cloud's 'ET Aviation Brain' facial-recognition identity checks in its T3 terminal from June 2018, cutting the identity-check step at security from a manual look-and-compare to about 3 seconds per passenger with a claimed 99.6%+ match accuracy; in its first month the system caught five travellers using someone else's ID. By the end of 2022 the airport extended this into full 'one-ID travel' for domestic departures — passengers check bags, clear security and board using only their ID card, without a paper boarding pass or QR code, and international departures gained electronic boarding passes in December 2024. The airport is run by the provincial Zhejiang Airport Group, not the city government.
📊 Impact
Identity check time cut to ~3 seconds per passenger versus manual comparison, claimed accuracy above 99.6%; caught 5 people travelling on someone else's ID in the technology's first month at T3 (2018); full domestic 'one-ID' coverage achieved by end of 2022.
📖 Terms in this entry: Adaptive traffic signals · ANPR (automatic number-plate recognition) · CBTC (communications-based train control)
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📎 Cite this project
1001 Smart Cities (2026). “Xiaoshan Airport Facial-Recognition Security & One-ID Travel” — Hangzhou, China. The Smart City Atlas. https://1001smartcities.org/projects/hangzhou-airport-facial-recognition/ (last verified 2026-08-02). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.
