WATA AI separates fixed and moving objects from spatial information collected in real time,
and updates only the location information of the changed logistics in real time to implement a sustainable digital twin.

AI-powered data analytics

WATA AI employs 3D LiDAR-based real-time map generation, object recognition, semantic segmentation, and optimization of industrial 3D point cloud datasets to effectively solve safety and logistics management challenges in a variety of industrial sites.

Customized solution for businesses

AI Platform Intro

AI Import/Export Warehouse Intro

AI Smart Picking System Intro

JPN

Customized solution for businesses

AI Platform Intro

AI Import/Export Warehouse Intro

AI Food Warehouse Intro

Digital Transformation and
Support for Hybrid Solutions

Digital transformation
and hybrid solutions

We offer a customized hybrid solution for traditional warehouse digital transformation and retention of existing facilities and routes, ensuring fast ROI with minimal setup and initial costs.

AI Warehouse Management Brochure

KOR

ENG

JPN

AI Warehouse Management Brochure

KOR

ENG

JPN

Customized solution
for businesses

We provide customized solutions for businesses by securing industry-optimized datasets, Based on this, we aim to continuously build dataset sand form industry-specific data networks.

AI Safety Management Brochure

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ENG

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Real-time, automated logistics data collection and analysis to support sustainable digital twins.

AI VISION KIT & Weight Sensor

- AI Vision Kit Automatically collects, maps, and analyzes collected PCD information. - AI-based real-time logistics data analysis to send data to the platform.

AI-powered data analytics

- AI-based analysis of collected fixed/moving PCD data. - Collect and label data such as spatial information, shelf information, and logistics information. - Logistics information: Logistics information / size / weight / shape / shelf location - Pallet material: wood, paper, plastic, etc. - Number of pallet attachments and load color - Provides optimal logistics placement (inbound/outbound) and work movement routes within the warehouse.

Sustainable digital twin

- Collect logistics information from real-time changing industrial sites to support sustainable digital twins. - Realize a 3D digital twin that captures reality based on spatial⬝logistics⬝object movement information. - Support synchronization of logistics data with warehouse sites that change in real time.

SOLUTION 1

AI Warehouse Management Platform

WATA AI Logistics Warehouse Management Platform supports artificial intelligence, big data-based smart logistics process optimization, and warehouse logistics management innovation.

From shelf creation to digital twin

From shelf creation to
digital twin

• Storage space logistics management for various warehouse spaces such as shelves, forklifts, and platforms
• Allocation of logistics cell loading locations for platforms/forklifts
• 3D logistics visualization utilizing size/weight information
• Real-time logistics/forklift location confirmation using various IoT sensors

• Shelf, forklift, and rack storage space
logistics loading management
• Rack/forklift logistics cell unit loading designation
• 3D logistics visualization using size/weight information
• Real-time logistics/forklift location verification utilizing various IoT sensors

Real-time logistics loading location updates

• Check the location of the loading shelf when entering and leaving palletized logistics
• Identify logistics information, weight/size information, and shape information during logistics forking
• Real-time PCD volume measurement to identify shelf loading rate
• Reduce human error through automatic logistics updates

• Storage rack, forklift, and pallet management in various warehouse spaces
• Allocation of pallet/forklift logistics cell storage locations
• 3D logistics visualization utilizing size/weight information
• Real-time logistics/forklift location confirmation using various IoT sensors

Forklift statistical data

• Real-time visibility into forklift utilization, movements, mileage, and work history
• Live monitoring of forklift operations and task history at a low cost
• Provide optimal work distribution and picking routes for each forklift
• Provides various insights to improve forklift operation efficiency

• Shelf, forklift, and platform storage
logistics loading management
• Unit loading location designation for platform/forklift logistics cells
• 3D logistics visualization using size/weight information
• Real-time logistics/forklift location confirmation using various IoT sensors

Logistics statistical data

• Understand logistics load rate and rack utilization by time period and space
• Understand the distribution of logistics information by category and customer
• Proceed with logistics optimization based on load rate and utilization rate
• Create statistical analysis reports

• Shelf, forklift, flatbed, and various warehouse spaces
logistics loading management
• Flatbed/forklift logistics cell unit loading designation
• 3D logistics visualization utilizing size/weight information
• Real-time logistics/forklift location confirmation utilizing various IoT sensors

Effectiveness of the solution

Increase production efficiency

• Automatically collect and update logistics data
• Reduce logistics lead times and human error
• Reduce labor costs by automating data collection

Optimize warehouse space
& manage inventory accurately

• Increase space efficiency with real-time logistics location management
• Easily identify accurate physical inventory quantities
• Reduce the number of inventory counts and bad inventory

Data-driven warehouse management

• Reduce warehouse operating costs
with data-driven task automation
• Reduce human error and increase worker efficiency

SOLUTION 2

3D LiDAR & Vision
AI Safety Management Platform

3D LiDAR &
Vision AI Safety Management Platform

Data-driven decision-making enables real-time monitoring of hazardous areas as well as accident prevention.
We provide 3D LiDAR safety management solutions that overcome the technical limitations of CCTV controlled monitoring systems.

Data Annotation

• All-in-one process from data collection and preprocessing > data labeling > data verification and set construction,and dataset construction for various industrial sites (transportation / logistics center / factory / MICE / smart city, etc.
• Build industry-specific object datasets (people / car / bus / truck / forklift / heavy equipment / motorcycle, etc.

• Shelf, forklift, and pallet management of various warehouse spaces
logistics storage management
• Designation of logistics cell unit storage location for pallets/forklifts
• 3D logistics visualization using size/weight information
• Real-time logistics/forklift location confirmation using various IoT sensors

Object Recognition

• Detect, locate, count, and densify three-dimensional objects (people, cars, bicycles, heavy machinery) with 3D LiDAR
• Extract features of recognized objects to create IDs and track object (speed, height, size, etc.)
• Train customized object recognition models for each case
• Datasets specialized for each site can be applied to various fields such as industrial sites, crowd management, logistics centers, traffic control, etc.

• Shelf, forklift, flatness, etc.
Logistics storage management
• Flatness/forklift logistics cell unit storage location designation
• 3D logistics visualization using size/weight information
• Real-time logistics/forklift location confirmation using various IoT sensors

Instance Segmentation

• Detecting object pixels with 2D Cameras
• Separation of individual instances
• Various applications such as quantity inspection, defect detection (cracks, scratches, poor assembly/painting), etc.

• Manage logistics loading for different warehouse spaces, including shelves, rolltainers, and floor storage
• Assign loading locations per floor storage/rolltainer logistics cell
• 3D logistics visualization using size/weight information
• View real-time logistics/forklift location using various IoT sensors

Real-time monitoring and quick decision support

• Deep learning + rulebase combination with 3D LiDAR for continuous field monitoring
• Stable object recognition even when the external environment changes
• Share risk situations in real time through immediate notification when a risk situation occurs
• Accurate accident analysis of risks by viewing recorded alarms and videos

• Manage logistics loading for different warehouse spaces, including shelves, rolltainers, and floor storage
• Assign loading locations per floor storage/rolltainer logistics cel
• 3D logistics visualization using size/weight information• View real-time logistics/forklift location using various IoT sensors