Deeping Source Inc.

Copyright 2020. Deeping source Inc. all rights reserved.

contact@deepingsource.io

14F, 312, Teheran-ro, Gangnam-gu, Seoul, 06211, Republic of Korea

Embedded Anonymizer

Ensure both Security and Privacy

Applied to data sources such as camera systems,

Embedded Anonymizer anonymizes image or video in real time. Therefore, it enables privacy protection at source while monitoring unusual actions or events.

Not only that, it also creates new opportunities for using real-time anonymized data for ML training.

Application 01

De-identified AI camera

Making stores, cafes, streets and cities be smart

without privacy concern

The original identifiable information is not required to provide services and safety. Video frames are anonymized in real-time. Key events are detectable and recognizable by AI,without any privacy concerns.

Application 02

Face Authentication

Smart authentication system 

without saving original data

Face images are transformed into obfuscated ones which are not identifiable by human eyes. De-identified data is then sent to an authentication system securely and destroyed immediately after the verification.

 

Data Protection API

Convert into Safe and Secure Data

Consisted of our core technologies, Data Protection API converts user's original data into safe and secure ones. 

Anonymizer and Obfuscator API guarantee privacy and confidentiality respectively while Jammer and Watermarker API protect data ownership from illegal uses. 

Data Protection API is optimized with large-scale datasets for various uses, enabling our users to customize for their specific targets. 

 

Anonymized Dataset

Affordable, On-demand Anonymized Data

Besides anonymizing services, we also offer Anonymized Data. With large-scale anonymized datasets, the users are able to train machine learning models without any privacy concerns.

 

Data Sharing Platform Nachos

A Win-Win Solution for Data Sharing

Nachos is a safe and transparent data sharing platform. Large-scale datasets are securely collected, processed and shared while preserving privacy and preventing data leakage. 

Nachos is also economically beneficial for both data uploads and consumers. Uploaders receive rewards for uploading original data, while consumers are provided with cost-effective on-demand datasets.