Stealing content in the adult entertainment industry is a pervasive problem, with creators often finding their hard work being exploited on various platforms without their consent. Traditional DMCA tools regularly fail to spot stolen content that has been edited, renamed, or differently watermarked. StreamerSuite has innovated to address this issue, introducing face-based DMCA scanning. This tool harnesses the power of facial recognition technology to identify unauthorized reuploads of your content on adult sites. The system works regardless of whether the video has been cropped, trimmed, or watermarked differently. The process involves you uploading reference images, which we scan round-the-clock. When a match is found, you receive a notification. This method is private, precise, and empowers you with control over where your face appears online. It is a robust tool for creators allowing them to assert ownership and effectively combat content theft.

When we initiated StreamerSuite, our primary goal was to provide adult content creators with the necessary tools to protect their content and boost their brand. We noticed a recurring problem: stolen videos and the creation of fake profiles and impersonation accounts. This form of theft has far-reaching effects, damaging reputations, siphoning off income, and disregarding the substantial effort creators invest in audience building.

Upon examining the available DMCA services, we found that most relied on text-based scanning, filename detection, or manual searching. Although these methods can sometimes be useful, they regularly overlook stolen content that has undergone editing, renaming, or watermarking. Even if the content has been slightly altered while remaining obviously pilfered, these methods fail to recognize it. This inspired us to develop a more effective solution for identifying such content on a broad scale.

Our innovation is face-based scanning.

Envision a scenario where someone downloads your video, removes the introduction, introduces a new watermark, and reuploads it on a tube site under a different filename and title. Perhaps they’ve even eliminated your watermark. Basic takedown bots are likely to miss this since they don’t seek out your identity but look for exact matches or keyword triggers. Consequently, stolen content can easily go undetected and unflagged.

Many creators aren’t aware their content has been reposted until a fan notifies them via a link. By this time, the content could have been copied, downloaded, and spread across various other sites.

Our method is unique. We focus not on metadata or filenames, but on the one element that can’t be counterfeited: your face.

Here’s how our face-based DMCA scanning process works:

We are aware of the sensitivity surrounding facial recognition, particularly within this industry. Therefore, we ensure that all data is encrypted and managed with strict privacy measures. You control what is submitted, what is scanned, and how matches are dealt with. Nothing is disclosed without your permission.

Facial detection does not depend on surface-level data, unlike filename scanning or keyword-based searches. This means that even if a video is cropped, edited, or rebranded, we can still identify it. Think of your face as your unique fingerprint; there’s no need to rely on watermarks, titles, or filenames to prove ownership.

This system is especially beneficial for creators whose videos have been edited or repackaged before being reposted. Many creators refrain from using heavy watermarks or may use various usernames across platforms. Facial scanning fills in these gaps.

Since implementing this system, we’ve discovered videos that had been online for weeks, sometimes months, without detection by other tools. In numerous instances, these videos had already amassed thousands of views. Our system has assisted creators in securing swift content removals, discovering content they didn’t know was online, and regaining control over their identity.

Although content theft is a significant threat in adult entertainment, you don’t have to combat it solo. Face-based scanning offers creators an intelligent method for detecting stolen content before it proliferates. It prioritizes what’s truly important – your identity and your control over your image.

At StreamerSuite, we believe in equipping creators with effective tools. If you’re serious about content protection, face-based scanning is a forward-thinking solution.

Remember, your content belongs to you. Let us help you keep it that way.