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.

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About 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
  • 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
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