7 million large-scale data learning of AEYE can accommodate various business and service models.
By applying a multi-neural network algorithm that considers the characteristics of text and images,
daily image documents such as printed materials and symbols are processed.
Deriving the optimal recognition rate by applying multi-algorithm according to the characteristics and purpose of the applied text
Supports high-level text processing such as foreign language and ASCII text
Processing of daily image document processing required in the business field
Support for affine transformation, rotation, scaling, noise removal and file format conversion, etc.
Manual editing of output results and support for various output formats such as JSON, XML, and CSV
Optimize speed and performance by applying technology suitable for the purpose of use
It handles large-capacity/scale digitization tasks such as AI learning data annotation and image processing and manages quality.
It can be built and utilized as an independent module, and integrated operation within the crowdsourcing platform.
Image scan (Heli-Carrier S)
Image shooting (Heli-Carrier X)
Image preparing: standard format and size, etc.
Collected image processing and server carrier management
Image preparing: Tilt and Crop, etc.
Bounding box handling
Don’t care treatment, etc.
Step-by-step inspection and control (rework, correction orders)
Worker results monitoring, etc.
It supports the digitization of large-scale paper documents such as records,
and is suitable for digitization of management.
Main screen sreenshot
Through 7 million AI learning, it accepts various service models and processes photorealistic images such as print and handwriting.
It provides business/quality management functions for each project process, also check the status and statistics of workers and tasks through the dashboard.
It is a solution that can handle de-identification of personal information more efficiently through the convergence of AI and blockchain technology.
Compliance with the ISO/IEC 29100 de-identification standard
Application privacy protection model (K-Anonymity, I-Diversity, T-Closeness)
IN-MEMORY technology applied for fast processing of large data
Acquire data with reduced
risk of re-identification
through de-identification processing
according to the purpose of use
Project founders can request work online, and workers can be rewarded for performing tasks. The data produced through the operation is utilized as AI learning data and contributes to the improvement.
A creator can obtain
High-quality data quickly
through a crowdsourcing platform.
A worker can participate
in projects and earn rewards
Free to participate anytime, anywhere, as much as you want
High-accuracy data extraction with polygon annotation tool
Technology-based information system consulting Strategies for customer business innovation & Solution derivation
E-Government, public sector informatization strategy consulting
System design and service model derivation
Smart city, cloud data center, digital forensics field
System consulting in ODA
Global business development and FS, TA, Master Plan
Informatization level diagnosis and diagnosis tool kit service (NexIE: NexIN - Informatization Evaluation tool kit)
Business solution architecture
Deriving and designing an optimal solution application model
Cloud service building and application consulting