SOURCE-LINKED INTELLIGENCE
A Deployment Study of Identity-Gated Drone Gesture Control
Vision-based gesture control accepts commands from any hand in the camera field of view, which is unsafe in shared indoor spaces. This paper presents IGate, an identity-gated control stack that includes gesture control and face tracking, in which commands are admitted only when an enrolled operator is verified. The system performs few-shot user enrolment from 20 initial face frames, without prior user-specific training: verification compares an embedding of the current face crop against the enrolled template by cosine similarity, while face tracking uses proportional correction. Gesture contro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T00:14:48.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.