Core-X Connected Technology
Core-X Connected Technology
Core-X Connected Technology
The livestock automation technology architecture connecting AIoT, AI Vision, Data Analytics, AI Agent, and Robotics
By integrating IoT sensors, AI analytics, and robot control technologies, we
automate operations based on farm data and provide an efficient management environment.
Core-X Central Connection Structure
From data collection to execution, everything is connected in a single flow
From data collection to execution
everything is connected in a single flow
From data collection to execution, everything is connected in a single flow
From data collection to execution
everything is connected in a single flow
Core-X connects each technology to form an integrated operating structure where data collection, analysis, decision-making, and execution take place. Each technology exchanges data centered around Core-X to form a single, unified operational flow.
Core-X connects each technology to form an integrated operating structure where data collection, analysis, decision-making, and execution take place. Each technology exchanges data centered around Core-X to form a single, unified operational flow.
core-x
AIoT
Collection of Environmental & Operational Data
AIoT
Collection of environmental and operational data
AI Vision
Video-based abnormal behavior and state analysis
AI Vision
Video-based anomalous behavior and state analysis
Analytics
Data Pattern and Anomaly Analysis
Analytics
Analysis of data patterns and anomalies
AI Agent
Provision of operational information and decision-making support
AI Agent
Providing operational information and decision-making support
Robotics
Performing field operations and running automation
Robotics
Performing field work and executing automation
Technology Flow
Farm data is connected in the following flow.
Farm data is connected in the following flow.
Farm data is connected in the following flow.
Through AIoT, environmental, video, and audio data are collected; AI Vision and Data Analytics are used to analyze status; AI Agents support operational decisions; and Robotics leads to on-site operations.
Through AIoT, environmental, video, and audio data are collected; AI Vision and Data Analytics are used to analyze status; AI Agents support operational decisions; and Robotics leads to on-site operations.
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
Connected Technology Flow
Robotware AI's technologies are not isolated, but are interconnected within the farm's operational workflow.
AIoT and AI Vision collect and analyze data, Data Analytics identifies operational status and anomalies,
AI Agent provides operational information, and Robotics connects to on-site operations.
Each technology is connected sequentially, and some stages process data simultaneously.
Single-line structure
AIoT / AI Vision → Data Analytics → AI Agent → Robotics
Connected Technology Flow
Robotware AI's technology is not just separate functions,
but is connected within the flow of farm operations.
AIoT and AI Vision collect and analyze data, Data Analytics identifies operational status and anomalies,
AI Agent provides operational information, and Robotics connects to on-site operations.
Each technology is connected sequentially, and some stages process data simultaneously.
Single-line structure
AIoT / AI Vision → Data Analytics → AI Agent → Robotics
Technology Flow
Farm data is connected in the following flow.
Through AIoT, environmental, video, and audio data are collected; AI Vision and Data Analytics are used to analyze status; AI Agents support operational decisions; and Robotics leads to on-site operations.
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
1. AIoT
Farm Environment and Data Collection Technology: AIoT is a technology that collects farm environmental data, capturing not only temperature, humidity, CO2, and NH3, but also video and audio data through CCTV, cameras, and microphones. The collected data is transmitted to AI Vision and Data Analytics to be utilized for analyzing the farm's conditions.
Temperature / Humidity Data Collection
CO₂ / NH₃ Environmental Data Collection
CCTV / Video Data Collection
Acoustic Data Collection
Environmental status monitoring
2. AI Vision
Video-Based Condition Analysis Technology
AI Vision is a technology that analyzes poultry behavior and farm conditions based on CCTV and video data. The video analysis results are transmitted to Data Analytics and AI Agent to be used for operational decision-making.video-based behavior analysis
Object Detection and Classification
Abnormal behavior detection
Activity Change Analysis
State Change Monitoring
3. Data Analytics
Data Analytics & Anomaly Detection Technology: Data Analytics is a technology that integrates and analyzes environmental, video, and acoustic data to assess farm operating conditions and detect signs of anomalies. Through time-series data analysis and pattern analysis, operational changes and status can be monitored.
Time series data analysis
Pattern-based state analysis
Anomaly Detection
Operational Status Prediction
Data Report Analysis
4. AI Agent
Operational Information Provision & Decision Support Technology: AI Agents summarize analyzed data to support decision-making by generating reports, answering queries, and providing operational guides. Through this, operators can understand the status of the farm and identify the necessary course of action.
Operational Data Q&A
Generate Report
Anomaly Summary
Action Direction Suggestion
Operation guide provided
5. Robotics
On-site work execution and automation technology Robotics is a technology that performs on-site tasks such as autonomous driving on farms, environmental management, individual animal monitoring, disposal of carcasses and egg collection, and disease prevention based on AI analysis and operational decisions. The analyzed data and operational decisions are translated into actual work through robots.
Autonomous driving inside livestock barns
Environmental Management
Weight Measurement
Carcase / Egg Collection
Disinfection and Sterilization
Core-X Central Connection Structure
From data collection to execution, everything is connected in a single flow
Core-X connects each technology to form an integrated operating structure where data collection, analysis, decision-making, and execution take place. Each technology exchanges data centered around Core-X to form a single, unified operational flow.
core-x
AIoT
Collection of Environmental & Operational Data
Analytics
Data Pattern and Anomaly Analysis
AI Vision
Video-based abnormal behavior and state analysis
AI Agent
Providing operational information and decision-making support
Robotics
Performing field operations and running automation
Connected Technology Flow
Robotware AI's technology is not just separate functions,
but is connected within the flow of farm operations.
AIoT and AI Vision collect and analyze data, Data Analytics identifies operational status and anomalies,
AI Agent provides operational information, and Robotics connects to on-site operations.
Each technology is connected sequentially, and some stages process data simultaneously.
Single-line structure
AIoT / AI Vision → Data Analytics → AI Agent → Robotics
Connected Technology Flow
Robotware AI's technologies are not isolated, but are interconnected within the farm's operational workflow.
AIoT and AI Vision collect and analyze data, Data Analytics identifies operational status and anomalies,
AI Agent provides operational information, and Robotics connects to on-site operations.
Each technology is connected sequentially, and some stages process data simultaneously.
Single-line structure
AIoT / AI Vision → Data Analytics → AI Agent
→ Robotics