Content theft is a prevalent issue in the realm of adult entertainment, particularly among webcam models and streamers. The unauthorized distribution of content not only undermines the hard work creators put into their work but also impacts their reputation and income. StreamerSuite was established with a clear objective: to empower creators in the adult industry by offering them robust tools to safeguard their content and enhance their brand. One recurring problem we continually faced was the proliferation of unauthorized videos, counterfeit profiles, and imitation accounts on the internet.
Existing DMCA tools, which primarily rely on text-based scanning, filename recognition, or manual searches, often fall short. These techniques tend to overlook stolen content that has been modified, renamed, or rebranded, leaving creators vulnerable. We knew there had to be a more efficient way to identify this type of stolen content on a larger scale. To address this, we decided to employ a face-based scanning approach.
Consider a scenario where someone downloads your content, removes the introduction, includes a new watermark, and uploads the repackaged video on a different platform. Takedown bots that rely on exact matches or keyword triggers wouldn’t catch the newly uploaded content, as the filename, title, and watermark have been altered. Consequently, stolen content can easily slip through without being detected.
Sadly, most creators often remain in the dark about their content being stolen and reposted until a fan informs them. By this time, the stolen content might already have been copied, downloaded, and distributed across multiple sites. StreamerSuite takes a different approach. Instead of focusing on metadata or filenames, we use the one feature that remains unchanged: your face.
Here’s what our process entails:
Facial recognition is a sensitive issue, particularly in the adult industry. Considering this, we ensure that your data is encrypted and safeguarded with strict privacy measures. You maintain full control over the submission of your content, its scanning, and the handling of matches. We ensure that your data is never shared without your consent.
Our face-based scanning doesn’t rely on superficial data like filename scanning or keyword-based searches. No matter how much a video is trimmed, edited, or rebranded, we can still identify it. We see your face as your unique identifier, eliminating the need to rely on watermarks, titles, or filenames to claim ownership.
This unique system proves particularly beneficial for creators whose content has been altered or repackaged before being reposted. Some creators don’t use prominent watermarks or may use different usernames across platforms. Facial scanning effectively addresses these issues.
Ever since the face-based scanning system was launched, we have discovered videos that had remained online undetected for weeks, even months, by other tools. In several instances, these videos had already garnered thousands of views. Our system has aided creators in achieving faster content removals, discovering content they weren’t aware was online, and reclaiming their online identity.
While content theft remains an ongoing threat in the adult entertainment industry, you don’t have to combat it single-handedly. The use of facial recognition in DMCA scanning offers creators a more efficient method of detecting stolen content before it further disseminates. This technology prioritizes your identity and control over your content.
At StreamerSuite, our goal is to equip creators with effective tools that truly serve their purpose. If you’re serious about protecting your content, face-based scanning represents a significant advancement in content protection. Your content rightfully belongs to you, and we’re here to ensure it stays that way.
For a more detailed explanation of how our system works, check out our post on why we built face-based DMCA scanning and how it works.