Adjustable AprilTags For Identity Secured Tasks

TL;DR

This paper proposes adjustable AprilTags to enhance identity security in open environments, addressing vulnerabilities to adversarial attacks in pattern recognition applications.

Contribution

It introduces a novel adjustable AprilTags design to improve security against adversarial threats in public settings.

Findings

Enhanced security features for AprilTags

Potential resistance to adversarial attacks

Applicability in open environment scenarios

Abstract

Special tags such as AprilTags that facilitate image processing and pattern recognition are useful in practical applications. In close and private environments, identity security is unlikely to be an issue because all involved AprilTags can be completely regulated. However, in open and public environments, identity security is no longer an issue that can be neglected. To handle potential harm caused by adversarial attacks, this note advocates utilization of adjustable AprilTags instead of fixed ones.