Anonymize visual data without losing machine vision performance
Syntonym uses AI to remove personal details like faces and license plates from images and videos in real-time. It keeps the data useful for AI models, so you can still train and analyze without privacy risks. This helps businesses comply with regulations like GDPR and build trust with users.
Replaces real faces with synthetic versions using generative AI
Automatically blurs sensitive data with high precision
Handles data instantly for live applications and streaming
Deploy in cloud, on-premise, or edge environments as needed
Ensures adherence to global data privacy laws and standards
Syntonym provides real-time, lossless anonymization for machine vision, removing personal identifiers like faces and license plates while preserving data utility.
It uses generative AI to replace real faces and license plates with hyper-realistic synthetic versions, preserving critical attributes like gaze and expressions for AI performance.
Blurring obfuscates data, while lossless anonymization maintains data utility by generating synthetic replacements, ensuring AI models perform without compromise.
Choose Lossless when data utility is critical for AI performance, and Blur for simple, precise obfuscation needs.
Options include Cloud API for scalable processing, Private Cloud/On-Premise for data control, and Edge SDK for real-time, low-latency applications.
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