Deepfake Detection Prototype
Real-Time Media Integrity
With AI
Deepfakes, synthetic media from advanced AI, threaten trust with disinformation and fraud. Sprinklenet’s prototype, part of our AI Services, detects manipulations in real-time to protect integrity.
Ideal for government, research, and enterprises, this tool safeguards reputations and fosters trust in digital content.
Our Approach
Built with TensorFlow, our module uses CNNs, transformers, and cross-attention to spot subtle deepfake signs with high accuracy and speed.
Focused on images and videos now, it’s designed to expand into audio detection, adapting to evolving threats.
Core Capabilities
We detect AI-generated images, video, and audio to protect your digital integrity.
Image Analysis
Detects AI-generated patterns and artifacts to ensure visual authenticity.
Video Integrity
Identifies frame-by-frame inconsistencies to protect against manipulated video content.
Audio Protection
Targets synthetic voice clones and AI-altered audio to safeguard against deepfake audio threats.
Technical Foundation
Built on advanced AI frameworks and custom architectures for scalable, real-world performance.
TensorFlow
Industry-standard framework for efficient machine learning.
Custom Architectures
Tailored CNNs, transformers, and cross-attention models.
Web Interface
Intuitive uploads, real-time detection, and clear confidence scoring.
Explore AI Strategy with Sprinklenet
Schedule a 60-minute consultation to identify practical AI opportunities, enhance team capabilities, and align technology with your business goals.
