Want to learn more? The full study dives deep into the methodology and results. A must-read for anyone in sports tech or digital security! 🚀

#AI #FaceRecognition #Piracy #Soccer #Tech

8/ Why It Matters:
This technology represents a major step in protecting sports broadcasting from piracy. It could ensure broadcasters and leagues retain the revenue they need to thrive while tackling cybercrime.

7/ What’s Next?
Future improvements could include:

- Optimizing speed for broader deployment.
- Expanding datasets for less popular leagues.
- Using model compression for efficiency.

6/ Applications:
The system can flag illegal soccer streams for takedown during live matches. It could also be adapted for other sports with close-up shots of players.

5/ The Challenges:

- Varying lighting and poses in stadiums complicate face recognition.
- Low-quality streams with poor resolution and compression artifacts add difficulty.

Results:
✅ True Positive Rate: ~38%
✅ False Positive Rate: 0%

4/ Why It’s Effective:
✅ Zero False Positives: No false alarms when identifying players.
✅ Real-Time Analysis: Processes up to 20 frames/second, enabling live takedowns of pirated streams.
✅ Robust Design: Works even with low-quality, compressed, or blurry images.

3/ How It Works:

-Detects player faces in video frames.
- Extracts unique facial features using AI models.
- Matches these features against a player database to identify illegal streams.

2/ The Solution:
Researchers developed a face recognition system that identifies players in illegal streams by comparing detected faces to a database of players in the game.

1/ The Problem:
Soccer is the most-watched sport in Europe, generating billions in broadcasting rights. Yet, illegal streaming siphons off revenue, funding cybercrime and harming the industry. Existing tools aren’t enough.

What are your thoughts on Sci-Hub and its role in academic publishing? 🤔 Share below! 👇

9/Conclusion:
Gender differences in piracy behavior may exist, but they aren't significant in this context. What truly matters is addressing the systemic issues driving students to pirate resources in the first place. #SciHub #OpenAccess #Piracy

8/What This Means for Academia:
This study reinforces the need to rethink academic publishing models. Affordable, accessible, and inclusive solutions are key to reducing piracy and supporting equitable access to knowledge. 🌍

7/Ethical Considerations:
Piracy is still a legal offense, but weak enforcement, low copyright awareness, and moral justifications (e.g., "knowledge should be free") drive students to use platforms like Sci-Hub without guilt. #Ethics #Piracy

6/Impact of Open Access Models:
Green & Gold Open Access provide some solutions but are not enough. Pirate Open Access platforms like Sci-Hub highlight the demand for truly inclusive academic access.

5/Digital Natives & Piracy:
For students raised in the digital age, piracy feels normalized especially when access to research is blocked by high costs or logistics.

4/Why Sci-Hub?

💰 Rising journal costs block student access.
⚡ Quick, free, comprehensive access for academic work.
🤔 Many view publishers as profiteers, not research supporters. #OpenAccess

3/The Bigger Picture:
Students often justify piracy due to high costs of accessing academic resources. Sci-Hub, with over 80M articles, removes barriers but raises legal and ethical questions.