AI Empowered AV Industry｜What Else Can It Do Besides Number Recognition?

Introduction

In the past, the adult film industry primarily relied on number indexing and manufacturer release to organize and disseminate films. However, with the development of the internet and AI technology, audience demands have far surpassed the single function of "finding numbers."

Nowadays, AI can not only recognize numbers but also empower various aspects of the AV industry: from searching, recommending to production, review, and copyright protection. This article will explore how AI is comprehensively reshaping this industry and analyze the role of platforms like whos.tv in the new ecosystem.

Applications of AI in Number Recognition and Search

Searching by Image

• Users only need to upload a screenshot, and AI can extract image features and match them with video fingerprints to return the corresponding number.
• Case: Upload a screenshot of Yua Mikami in classroom drama, and the system automatically recognizes the film and recommends similar dramas.

Actress Image Recognition

• With facial recognition, AI can quickly locate within a database of thousands of actresses.
• Case: Upload an image of Caika Hebei pool scene, and get all of her representative works.

Scene Reconstruction

• AI can recognize scenes such as pool, office, classroom, and massage room, enriching the search dimensions.

The Role of AI in the Recommendation System

Personalized Recommendations

• Traditional platforms (like pornhub) rely on tags and user click data, leading to often inaccurate recommendations;
• AI recommendations can be based on user-uploaded screenshots and historical preferences for more personalized content delivery.

Examples

• User searches Aoi Tsukasa Office Story → AI recommends similar works of Shoko Takahashi;
• User likes Momo Sakura Pool Segment → AI recommends Akiho Yoshizawa's pool series.

The Potential of AI in Review and Compliance

Automated Rating and Content Filtering

• AI can identify the plot type and sensitive content of films, achieving automated rating;
• Ensuring compliance in different markets, such as distinguishing between uncensored and censored, or filtering according to national laws.

Anti-Piracy Detection and Copyright Protection

• AI can detect pirated resources through video fingerprints, helping manufacturers protect their rights;
• Platforms like whos.tv could in the future connect with databases like javdb to create a copyright protection network.

The Role of AI in Film Production and Marketing

Intelligent Editing

• AI can automatically generate preview clips (like "pool compilation", "office drama compilation");
• Enhancing user browsing efficiency and also aiding manufacturers' marketing.

Data-Driven Creation

• Analyzing user search trends to help manufacturers decide the future direction of plots;
• Case: If the search volume for "classroom drama" continues to rise, manufacturers will increase films on relevant themes.

Platform Comparison: The Positioning of whos.tv

• javdb: Focused on number database but lacking deep AI search;
• pornhub: Large video volume but recommendation mechanism relies on manual tags;
• whos.tv: Not only realizes image search by number, actress image recognition, scene reconstruction, but also plans to expand personalized recommendations and copyright protection, making it a typical AI-driven platform.

👉 This means whos.tv is not just a "tool for finding numbers" but could potentially become an AI-enabled industry platform.

Future Outlook: Multidimensional Development Empowered by AI

1. Multimodal Search
   • Supporting combined search of images + text + voice;
   • Example: "Upload screenshot + enter Hebei Caihua" → more accurate results.
2. Global Services
   • Offering versions in Chinese, Japanese, and English;
   • Combining adult film cultures and review systems of different countries.
3. Virtual Idols and Interaction
   • AI can generate virtual actresses, even simulating interactions with renowned actresses like Yua Mikami and Moe Angel.
4. Intelligent Recommendations and Companion Mode
   • Based on AI's understanding of user habits, not only recommending films but also forming a "companion viewing experience."

Conclusion

AI is becoming the new engine of the AV industry. It can not only help viewers find numbers through screenshots but also empower multiple aspects like recommendation, production, review, and copyright protection.

Unlike the database model of javdb and the aggregation model of pornhub, whos.tv is exploring a more comprehensive AI-driven ecosystem. In the future, when AI upgrades from a "recognition tool" to "industry infrastructure," the AV industry will embrace an unprecedented intelligent transformation.