AI-Confusing Fashion Collections

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The Capable 'Manifesto' Collection Hides Wearers From Cameras

The Capable 'Manifesto' collection is a series of wildly patterned fashions constructed with style and privacy in mind to help wearers thwart artificial intelligence (AI)-powered camera systems.

The various fashions boast flamboyant prints covered in a series of imagery that, upon being observed by an AI-connected camera, will be focused on and interpreted as something else entirely. This enables the wearer to hide in plain sight and have their face or even human form go undetected by surveillance systems.

The Capable 'Manifesto' collection was designed as part of co-founder Rachele Didero's Ph.D being completed at the University of Milan. The collection was detected by Didero using the YOLO (You Only Look Once) object detection system that's neural net-based and capable of classifying a range of objects and people in real-time.
Trend Themes
1. Privacy-protective Fashion - Designing flamboyant prints on fashion that hide wearers from surveillance is a trend that is offering privacy-protective fashion.
2. AI-disruptive Prints - Creating prints that confuse AI-connected camera systems is a trend that is introducing disruptive innovation opportunities for the fashion industry.
3. Object-detection Fashion - Fashion designers creating object-detection fashion that employs AI technology to blur the wearer's features is a trend that presents disruptive innovation opportunities for the fashion industry.
Industry Implications
1. Fashion Industry - The Fashion industry can leverage trends in privacy-protective fashion and object-detection fashion to expand insusceptible markets.
2. Surveillance Industry - The surveillance industry can leverage trends in AI-disruptive prints to innovate their systems to respond to the novel nature in fashion amidst its growing inclusion of privacy protection.
3. Retail Industry - The retail industry can leverage trends in privacy-protective fashion and object-detection fashion to meet the needs of privacy-concerned customers and expand their offerings to niche markets.

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