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Segmentation AI

Object Segmentation
Object Segmentation

Beyond Boundaries, Achieve Greater Precision

DITAB’s object segmentation technology precisely distinguishes object boundaries at the pixel level, enabling advanced analysis across various industrial environments.

97.6%
Segmentation Accuracy
28fps
Real-time Processing
80+
Object Classes
24/7
Uninterrupted Operation

Precise Segmentation

Pixel-level object boundary recognition

Multi-object Support

Simultaneous segmentation of multiple objects

Real-time Processing

High-speed segmentation computation

Robust Performance

Reliable performance across diverse environments

Core Object Segmentation Technology

Deep Learning–Based Segmentation

Uses state-of-the-art deep learning models to segment object boundaries within images at the pixel level with high precision.

Multi-Class Segmentation

Supports simultaneous segmentation of multiple objects and classes to accurately analyze complex scenes.

Solution Portfolio Powered by Object Segmentation Technology

DITAB’s object segmentation technology is implemented as optimized solutions tailored to the needs of various industrial sites, delivering tangible business value.

Precision Analytics

TAB - T

Segmentation AI Solution

A high-performance AI solution that segments object boundaries within images at the pixel level.

99.2%
Segmentation Accuracy
45fps
Processing Speed

Key Features

Precise object boundary recognition
Multi-class segmentation support
Real-time segmentation processing
Robust performance in noisy environments

Key Application Areas

Industrial Safety
Medical Image Analysis
Smart Factory
Autonomous Driving

Application Areas of Object Segmentation Technology

DITAB’s object segmentation technology is being utilized as an innovative solution across various industries.

Key Case Studies and Segmentation Projects

See how DITAB's object segmentation technology is applied in real projects.

Medical Image Segmentation Project

A project that segments the boundaries of lesions, organs, and tissues in medical images such as CT and MRI at the pixel level to support diagnosis and treatment.

Tumor boundary detection and area measurement
Automatic segmentation by organ region
Quantitative analysis data provision

Smart Factory Segmentation PoC

A PoC project that automatically segments components, defect areas, and process-specific regions on production lines for quality control and process optimization.

Automatic component boundary segmentation
Automatic defect region detection
Work area analysis by process

Start Business Innovation with DITAB’s Object Segmentation Technology

Wondering how object segmentation technology can be applied to your business? DITAB experts will propose customized solutions tailored to your industry.