Syntonym Anonymization Suite for Visual Data
argitaratzailea: Syntonym
Protect sensitive information with syntonym anonymization for privacy and compliance.
Syntonym Anonymization Suite for Visual Data
AI systems increasingly rely on large quantities of visual data but this brings rising privacy, security, trust and compliance obligations.
Syntonym solves these regulatory, engineering, and trust challenges with cutting-edge, real-time visual anonymization tools designed for organizations using image and video data across automotive, mobility, robotics, smart devices and enterprise workflows.
Syntonym’s Anonymization Suite includes two complementary products:
Syntonym Lossless Anonymization: Replaces real faces with synthetic, non-reversible alternatives while preserving all attributes like gaze, head pose, expressions, age group and gender needed for computer vision and AI tasks. Also applies synthetic overlays on license plates.
Syntonym Blur: Automatic, accurate and consistent blurring of faces and license plates.
Key Benefits
Privacy Compliance by Data Minimisation & Privacy-by-Design
Full Data Utility for AI Model Training & Deployment
Increased International Data Transfer Safety
Labelling Service Risk Reduction
Reduced Complaints & Increased Public Trust
Scalable & Automated
Syntonym Lossless Anonymization Ideal for:
- Automotive (DMS/OMS, AD/ADAS pipelines, fleet safety and telematics applications)
- Smart City, Public Transport and Urban Mobility applications
- Robotics & Physical AI
- Video Analytics & Monitoring
- Data Collection, Labeling & Annotation
- Smart Devices & Consumer AI Device
Syntonym Blur Ideal for:
- General data redaction needs (faces, license plates, bystanders, sensitive areas)
- Compliance-driven workflows (redaction before data sharing, storage, exports, )
- Fast, low compute anonymization for large datasets or simple data processing pipelines
[FAQ]
- Why anonymization?
- To protect individual identities, reduce regulatory exposure, and enable safe use, sharing, and international transfer of visual data, especially in AI training, validation, and operational data workflows.
- How is my data anonymized?
- Faces and license plates are automatically anonymized with synthetic replacements using Syntonym Lossless or redacted using Syntonym Blur.
- Can anonymization be reversed?
- Yes. The anonymization is irreversible, meaning the original identity can not be reconstructed from anonymized outputs.
- Is Syntonym compliant with regulations like GDPR and CCPA?
- Yes. By removing personal identifiers while retaining functionality, Syntonym supports compliance with GDPR, CCPA, and other global privacy regulations. It also aligns with EU AI Act and other emerging AI governance frameworks.
- Does anonymization affect model performance?
- Syntonym Lossless Anonymization preserves gaze, head pose and expressions, so performance remains comparable to using original data.