Hyper Realistic Data Anonymization for Mobility Cameras
SyntonymMobility empowers technology developers in the mobility domain to process lossless visual data that is crucial for the development and reliability of AI algorithms in accurately determining the intentions and awareness of drivers, pedestrians, and cyclists, while addressing privacy concerns towards video surveillance.
Syntonym maximizes privacy protection by removing sensitive biometric data in image and video, while preserving valuable analytical metrics to enable model training and advanced video analytics.
Syntonym In-Cabin Cameras
Syntonym provides lossless visual data anonymization to ensure compliance even in the most complex driving situations where data subject's explicit consent for in-cabin monitoring cannot be obtained (i.e., family driving, rideshare, fleet ownership, vehicle owner's driver, people movers).
In all cases and driving situations, every data subject inside the vehicle will be able to decide upon how and when they're monitored.
In all cases and driving situations, every data subject inside the vehicle will be able to decide upon how and when they're monitored.
Indentity Smilarty : 0.14 Avarage | Status : False
Eye Capture: True
Eye Capture: True
NIR Cameras Enabled
Anonymization is ensured by determining landmarks in related facial areas and subsequently assigning non-existent (synthetic) vectoral identities that are suitable for lossless anonymization, in each case.Assignment concludes the purpose of processing personal data: anonymization, as well as the period for which original input data is to be retained by Syntonym.
Therefore, original input data is deleted immediately after assignment of non-existent vectoral identities.From this point forward, the process continues with the non-existent vectoral identities.
Therefore, original input data is deleted immediately after assignment of non-existent vectoral identities.From this point forward, the process continues with the non-existent vectoral identities.
External Cameras
Instead of relying on wide-scale blurring in video footage,Synthetic Anonymization removes sensitive biometric data while preserving valuable analytical metrics to enable model training and unlock video analytics potential with real-time, lossless anonymization.
Licence Plates
Syntonym not only anonymizes faces in visual data but also creates synthetic overlays for license plates, to address privacy concerns without damaging the structure of the data.
Effortless Privacy, Seamless Experience
Syntonym maximizes privacy compliance by removing sensitive biometric data in image and video, while preserving valuable analytical metrics to enable model training and advanced video analytics.
With flexible deployment in the cloud and on-premise, upload your image/video and download output files with anonymized versions
In Car Video Meeting Privacy
Syntonym Virtual Camera also works with in-car video call apps, prioritizing both driver and passenger privacy.
Take calls from your car, keep faces hidden during video calls.
Take calls from your car, keep faces hidden during video calls.
Synthetic Face Indicator
We are committed to developing Responsible AI.
We display a visible indicator throughout the frame to let you and your conversation partner know that a synthetic face is applied to protect privacy. This indicator stays present and easily noticeable.
We display a visible indicator throughout the frame to let you and your conversation partner know that a synthetic face is applied to protect privacy. This indicator stays present and easily noticeable.
