Video recognition software
Moderate user-generated content and comply with official regulations by using ContentCore, a video recognizer developed by WebKyte
What is video recognition software
Video recognition software uses advanced algorithms to analyze and identify visual content within videos. This technology enables the automatic detection video copies, facilitating content categorization, recommendation systems, and copyright protection. As a result, video recognition software enhances user experience, content management, and helps platforms deliver personalized and safe content to viewers.
Powered by AI and video fingerprinting
Video fingerprinting is the technology that extracts distinctive elements of a video into a unique line of code, a digital fingerprint. The tech enables video matching at large scale, high speed, and with extraordinary accuracy.
As in most cases adjacent frames have only slight differences, it is not necessary to use every frame. The use of key-frames only reduces the size of the video fingerprint and, therefore, processing time.
- Lightweight
- High accuracy
- Built for scale
- Secure by design
Video recognition technology in action
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Filtering user-generated videos
Identify and filter out content that breaches the platform's guidelines, such as hate speech, violence, nudity, and other forms of explicit or harmful materials
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Live content moderation
Check live streams including live broadcasts, sports, concerts, etc. in real time for compliance with platform rules
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Prevent copyright infringements
Avoid illegal issues by respecting the copyright and proactively stopping illegal sharing of copyrighted videos
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Flag fake news and misleading content
Control the spread of fake news and misleading videos by instantly identifying copies of such videos across a platform
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Compliance with official regulations
Comply with Article 17 EU, Digital Services Act EU, and other regulations by implementing a video fingerprinting solution
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Advertising
Provide high-quality experience to advertisers by ensuring clean content for potential ad impressions
ContentCore features
ContentCore, an automatic content recognition software, improves video moderation activities by automating mass-scale video identification, filtering user-generated content, and ensuring compliance with copyright regulations.
Precise video matching
By using video fingerprints instead of video files, the process of content matching becomes significantly faster, delivering real-time results with near-zero false positives.
High accuracy
The usage of video fingerprints makes the probability of false positive results
is nearly zero.
Built for scale
Video fingerprinting technology excels at handling large volumes of video content. It’s easier and faster to store and process compact representations of videos when it comes to massive amounts of data.
Secure by design
Video fingerprints are irreversible to the original files providing the highest level of content security. It’s impossible to identify the content without metadata.
Cost-effective
Automation of content recognition eliminates the need for extensive teams of analysts. A single content security professional can manage large amounts of content simultaneously.
Distortion resistant
Video fingerprints rely on video frames identifying content regardless of metadata, audio, and different distortions.
Supported video distortions
and video distortions
- Quality changes / CAMRip
- Dynamic zooming
- Slight rotation or cropping
- Interface elements, ticker, etc.
- Time inconsistencies such as playback
- Video fragments cut
- Mirroring
- Horizontal and vertical sidebars
- Logos and drawings overlays
- Color modifications
- Slight speed increase/decrease
- Deepfake
Mastering Image and Video Recognition at Scale
Precision Analysis
Our deep learning engine provides state-of-the-art image and video recognition, identifying objects, scenes, and complex patterns with forensic accuracy. Unlike standard libraries, WebKyte is tuned for high-speed industrial processing.
Dynamic Metadata
Transform raw pixels into searchable data. We automate the entire image and video recognition workflow, generating rich metadata and tags that help you organize and monetize your visual assets instantly.
Tailored for Platforms
Built for high-load ecosystems. Our ai video recognition infrastructure scales horizontally, allowing you to process millions of hours of footage without compromising on latency or cost-efficiency.
The WebKyte Advantage
Why switch to WebKyte for your AI needs?
Many developers start by testing generic ai google ai video recognition models, but quickly hit a ceiling when it comes to specific moderation rules or custom copyright detection. WebKyte fills this gap.
While google ai offers a broad approach, our specialized image and video recognition tools are optimized for platform-specific challenges. We provide a more flexible alternative to ai google ai video recognition services, offering deeper integration, better support for custom datasets, and more transparent pricing for growing businesses.
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Hybrid Recognition
Seamlessly switch between static image and video recognition modes.
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Custom Labels
Go beyond the default categories found in google ai video recognition benchmarks.
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API-First Design
Deploy our ai video recognition engine into your existing stack in minutes.
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Privacy Focused
Secure processing that meets global compliance standards.