Qualcomm incorporated (20240273859). ANTI-SPOOFING IN CAMERA-AIDED LOCATION AND PERCEPTION simplified abstract
Contents
ANTI-SPOOFING IN CAMERA-AIDED LOCATION AND PERCEPTION
Organization Name
Inventor(s)
Yuxiang Peng of Sunnyvale CA (US)
Gengsheng Zhang of Cupertino CA (US)
ANTI-SPOOFING IN CAMERA-AIDED LOCATION AND PERCEPTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240273859 titled 'ANTI-SPOOFING IN CAMERA-AIDED LOCATION AND PERCEPTION
The abstract of this patent application discusses a method for a user equipment (UE) to determine if images captured by its cameras are real or spoofed.
- A UE captures a set of images during a vision-aided positioning session using at least one camera.
- The UE identifies spoofing features in the images during the session.
- The UE indicates the presence of spoofing features and stores or outputs this information.
- The UE then uses non-spoofing features for camera-aided positioning, different from the identified spoofing features.
Potential Applications: - Anti-spoofing technology for mobile devices - Enhanced security measures for image verification processes
Problems Solved: - Preventing the use of manipulated or false images for positioning and authentication purposes
Benefits: - Improved accuracy and reliability of image-based positioning systems - Enhanced security against spoofing attacks
Commercial Applications: Title: "Enhanced Anti-Spoofing Technology for Mobile Devices" This technology could be valuable for smartphone manufacturers, security companies, and authentication service providers looking to enhance the security of their products and services.
Questions about the technology: 1. How does this technology impact the overall security of mobile devices? - This technology significantly enhances the security of mobile devices by preventing the use of spoofed images for positioning and authentication. 2. What are the potential implications of this technology for image-based authentication systems? - This technology could greatly improve the reliability and trustworthiness of image-based authentication systems by detecting and preventing the use of spoofed images.
Original Abstract Submitted
aspects presented herein may enable a ue to identify whether images captured by the camera(s) of the ue are spoofed (e.g., are real images or false/manipulated/virtual images, etc.). in one aspect, a ue obtains a set of images associated with a vision-aided positioning session, where the set of images is captured using at least one first camera. the ue detects that at least one spoofing feature is present in the set of images during the vision-aided positioning session. the ue stores or outputs an indication of the at least one spoofing feature based on the at least one spoofing feature being present in the set of images. the ue performs the camera-aided positioning session based on at least one non-spoofing feature, where the at least one non-spoofing feature is different from the at least one spoofing feature.
