Data
Cleansing
Collected raw data goes through the cleansing process to speed up data processing and to protect personal information prior to data annotation.
INFINIQ provides de-duplication, auto-object detection, and anonymization. De-duplication removes all duplicate data which allows us to save storage space and cost. Auto-object detection uses pre-trained AI models to detect objects automatically. Anonymization censors out the personal information such as faces and number plates.
- De-duplication
Eliminating a redundant data Reducing storage space Saving cost of Annotation
- Auto-Object Detection
Custom Object Detection Use pre-trained models
- Anonymization(Wellid)
Protect personal information in compliance with privacy regulations High-speed processing of large volume of data with +99% accuracy Ensuring performance of AI
Wellid
Wellid anonymizes +99% accuracy of all identifiable faces and license plates complied with GDPR, CPRA, CCPA by design. Ensures your data is compliant by blurring and deepfake faces and number plates in a fully automated fashion.
Go to websiteAbout the Service
Personal information such as faces, car number plates, etc.
in images and videos are automatically detected and
deidentified.
Application Targets
-
Faces
-
Car number plates
-
OCR
Service Types
-
API User-oriented REST API Available to be integrated into existing products
-
Online Online-based solutions Another installation not necessary, Higher accessibility
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On-Premise User-oriented REST API Available to be integrated into existing products
How to Apply
-
Blur Blurred is only the area recognized
as personal information within images or videos. -
Deepfake A different image only covers the area recognized as personal information within images or videos.
Features
-
World-high accuracy of
99% -
The deidentification processing speed
: 0.11 s / each face -
Applied to every car number plate , whether
their designs are new country by country -
The recognition rate set according
to the purpose of use and quality level -
Selective deidentification
of individual objects -
Mass data
processed at once
Application Fields Face recognition, speech recognition, behavior recognition, autonomous driving, smart home, security, medicine, safety, disaster, etc.
-
Face
recognition -
Speech
recognition -
Behavior
recognition -
Autonomous
driving - Smart home
- Security
- Medicine
-
Safety
and disaster