Launched as an online identity protection tool, FaceShield is a distinct privacy solution meant to break face detectors and jam facial detection software. Serving as a fast and free solution, FaceShield applies a myriad of filters -- chosen by the user -- as a mean of breaking general face detecting software. The ability of the service is driven by AI and automatically applies a noise to common areas of an image that face detectors naturally recognize.
The FaceShield website currently offers a demo of the software, as well as three different filters for photos. Each filter provides a different level of protection and image alteration, ranging from subtle to extreme. The subtle option keeps the image as identical as possible and can break certain face detectors. The medium and intense filters make noticeable changes to an image and can break many most detectors.
Facial-Recognition Jamming Software
FaceShield Uses AI to Confuse and Stop Face Detectors
Trend Themes
1. Identity Protection - Opportunity to develop advanced privacy solutions that can protect individuals from face detectors and facial detection software.
2. AI-driven Privacy - Disruptive innovation opportunity to create AI-powered tools that automatically apply noise to images, confusing face detectors and preserving privacy.
3. Image Alteration Filters - Potential for developing a range of filters that offer different levels of protection and alteration to images, providing individuals with customizable privacy options.
Industry Implications
1. Cybersecurity - Opportunity for the cybersecurity industry to develop facial recognition jamming software as a privacy-focused solution.
2. Artificial Intelligence - Disruptive innovation potential within the AI industry to create advanced software that can automatically apply noise to images, confusing face detection algorithms.
3. Software Development - Potential for software developers to create image alteration filters that offer varying degrees of protection and alteration, catering to individual privacy needs.