LESSBocC Surveillance Confounder

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LESSBocC generates replacement facial feature tableaus based on retail catalog imagery to confound, via occlusion and confusion, ubiquitous facial recognition algorithms used for surveillance in public, private and liminal spaces. The process of both retail imagery amalgamation and facial synthesis is accomplished using advanced Convolutional Neural Network technology trained on YFCC100M, which offers a “unified embedding for face recognition and clustering.”

This phone based tool can be used by citizens, as well as their children, in order to confound the surveillance states of multiple GPEs (geopolitical entities) -- e.g., the Hague, the government, chain retail establishments, and St. Mary’s High School in Columbia, Maryland (as recently established in a study by the Education Departments’s Surveillance Studies Credential Program at US News and Reports’s “Top Ranked” George Washington University in Washington DC).

LESSBocC can be used via consumer utility device attached through proprietary or 3rd party means to the face using either hinge or Snap-On mechanism.

Premium subscribers will have access to the trademarked FYF (“FitYrFace”) online LESSBocC face placement calculator. The user will measure the diameter and circumference of their face as well as length of bridge, pupillary distance, gum to tooth ratio, cheekbone protrudance and chin width. These numbers can be entered into FYF calculator and the user will be given custom generated face parameters such that the generated face most closely dis-resembles the user.

The PremiumPlus model will be designed to use copper hardware for its contact points. Also for our PremiumPlus members, we hope to implement drone-based measurement assistants in the near future to maximally delight our users.
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What's New

All new release
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Additional Information

Updated
January 9, 2020
Size
81M
Installs
1+
Current Version
1.0
Requires Android
4.4 and up
Content Rating
Everyone
Permissions
Offered By
Black Clam Publishing
Developer
3311 Elm St Oakland, Ca 94609
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