
At the heart of StreamerSuite lies a clear purpose: to equip adult content creators with effective tools that safeguard their content and augment their brand growth. One persistent and pervasive problem that these creators face is the illicit dissemination of their work through pirated videos, counterfeit profiles, and impersonation accounts. Such actions don’t merely cause frustration but also tarnish the creator’s image, negatively affect their earnings, and sabotage their efforts in cultivating a loyal following.
Existing DMCA services predominantly depend on text-based scanning, filename identification, or manual searches to detect copyright infringements. However, these techniques often come up short in identifying stolen clips that are edited, watermarked differently, or renamed. They often overlook stolen content that has undergone minor alterations, despite the evident theft. Recognizing this gap, we were motivated to devise a more efficient method to pinpoint such content.
This led us to the pioneering concept of face-based scanning.
Consider this scenario: An individual downloads your video, removes the introduction, introduces a new watermark, and then re-uploads the content on a different platform. Owing to the changes in the filename, title, and removal of your watermark, conventional takedown bots would likely overlook such an infringement. They are programmed to spot exact matches or keyword-based triggers, and hence, stolen content can easily elude detection.
Many creators often remain oblivious to the unauthorized re-posting of their content until they receive the link from a fan. By this time, the content could have already been duplicated, downloaded, and circulated on multiple platforms.
Our methodology, however, diverges from the traditional approach. Instead of scanning for metadata or filenames, we zero in on the one feature that remains unfalsifiable: your face.
Here’s how the process unfolds:
We recognize the sensitive nature of facial recognition technology, particularly in the adult entertainment sector. Therefore, we ensure all data is encrypted and treated with stringent privacy protocols. You retain full control over what is submitted, what is scanned, and how matching content is dealt with. No information is distributed without your consent.
In contrast to filename scanning or keyword-based searches, facial detection isn’t dependent on superficial data. Your face serves as your unique identifier, enabling us to recognize stolen content, irrespective of whether it’s been cropped, edited, or rebranded. You no longer have to rely on watermarks, titles, or filenames to assert ownership.
This system is particularly beneficial for creators whose videos have been modified or repackaged before being re-posted. Many creators either don’t use substantial watermarks or may use different usernames across platforms. Facial scanning effectively bridges these gaps.
Since the launch of this system, we have successfully discovered videos that had been online for weeks or even months without detection by other tools. In several instances, these videos had already achieved thousands of views. Our system has empowered creators to expedite content removal, discover stolen content they were previously unaware of, and regain control of their digital identities.
Content theft is an incessant threat within the adult entertainment industry, but with face-based scanning, you don’t have to combat this issue alone. It provides creators with an intelligent mechanism to detect stolen content before it proliferates. It prioritizes what truly matters: your identity and your autonomy over your image.
At StreamerSuite, we are committed to providing creators with tools that genuinely deliver results. If you are prepared to bolster content protection, face-based DMCA scanning represents a significant stride forward.
Your content belongs to you. Let us assist you in ensuring it remains that way.