BoryForesight Platform

 

BoryForesight Platform | Bory XAI Integrated Monitoring Platform for Accident Cause Prediction |

An XAI-based integrated monitoring platform that predicts accident causes by jointly analyzing sensor, video, equipment, worker, and environmental data and provides explainable monitoring information

 

BoryForesight Platform is Bory's XAI integrated monitoring platform for accident cause prediction. It jointly analyzes diverse data generated at industrial sites, public facilities, equipment operating environments, and safety-management sites to predict accident likelihood, risk causes, anomaly signs, and risk progression, and provides the results as explainable monitoring information.

 

Industrial sites and facility operating environments simultaneously generate diverse data, including worker locations, equipment conditions, sensor readings, environmental changes, abnormal behavior, access to hazardous areas, equipment errors, temperature, humidity, gas and vibration data, and past accident history. When this data is distributed across multiple systems, it is difficult to determine why an accident occurred, under which conditions risk increases, and which action should be taken first.

 

BoryForesight Platform integrates this data to analyze accident risk and uses XAI to explain “why it is dangerous,” “which data is a candidate cause,” and “what action is required.”

 

BoryForesight Platform can be deployed as a standalone platform or integrated with BorySafe Guard, BoryRMS, BorySensor Platform, BoryVision Platform, BoryData Platform, industrial-safety monitoring systems, digital-twin monitoring screens, and existing sensor and equipment systems.

 

[Platform Adoption Inquiry] [XAI Accident-Prediction Monitoring Consultation] [Integrated Monitoring PoC Inquiry] [Request a Proposal]

Platform Definition

BoryForesight Platform is a common platform that modularizes Bory's accident-cause prediction and integrated monitoring technologies.

A product is a package delivered to a customer, a solution is a system built for the customer's environment, and a platform is a common technology foundation for repeatedly creating multiple products and solutions.

 

BoryForesight Platform provides the following capabilities in a unified platform architecture.

• Sensor Data Collection and Normalization
• Site Event Data Integration
• Video AI Analysis Result Integration
• Worker, Equipment, and Environmental Data Integration
• Anomaly Detection
• Candidate Accident Cause Analysis
• Accident Likelihood Prediction
• XAI-Based Explanation of Risk Evidence
• Risk Event Prioritization
• Integrated Monitoring Dashboard Configuration
• Digital-Twin Monitoring Integration
• Accident and Response History Management
• Warning and Notification System Integration
• External System APIs
• On-Premises and Cloud Deployment Support

In other words, BoryForesight Platform is Bory's common accident-prediction and integrated monitoring platform that “collects and connects site data, analyzes risk, explains causes, and provides results through monitoring screens and APIs.”

 

Customer Challenges

 

Accidents Do Not Have Only One Cause

At industrial sites and equipment operating environments, accidents often occur when multiple conditions overlap rather than from a single cause.

Worker locations, access to hazardous areas, equipment anomalies, changes in sensor readings, environmental conditions, violations of work procedures, equipment errors, and past history can all contribute together.

BoryForesight Platform jointly analyzes multiple data sources to help identify both candidate accident causes and hazardous conditions.

 

Sensor, Video, and Equipment Data Is Siloed

CCTV, IoT sensors, equipment control systems, safety-management systems, worker location data, and environmental data are often operated separately at a site.

When data is siloed, it is difficult to understand the full context of a hazardous situation.

BoryForesight Platform integrates data from multiple sources, structures it for accident-risk analysis, and makes it available for integrated monitoring.

 

It Is Difficult to Explain the Cause of a Risk Alert

Merely displaying “risk” or “anomaly” is insufficient for effective site response.

Managers need to know why the situation is hazardous, which sensor readings contributed, which worker actions are related, and which equipment conditions are candidate causes.

BoryForesight Platform uses an XAI-based analysis architecture to explain the evidence behind a risk assessment and the candidate causes.

 

It Is Difficult to Prioritize Accident Prevention Actions

When multiple alerts and warnings occur simultaneously, managers may struggle to decide which event to review first.

BoryForesight Platform helps organize monitoring priorities based on risk level, likelihood, scope of impact, asset importance, worker proximity, and past accident history.

 

Accident and Response Histories Are Not Used as Data

Even when past accident reports, risk events, response histories, and inspection results have accumulated, they are often not fully used for accident prediction and monitoring.

BoryForesight Platform converts accident and response histories into structured data for analyzing similar hazardous situations, preventing recurrence, and identifying risk patterns.

 

Platform Overview

BoryForesight Platform is an XAI-based accident-prediction platform that provides accident-cause prediction, risk-sign analysis, explainable AI, and integrated monitoring APIs.

 

The main components are as follows.

• Data Collection Module
• Sensor Data Normalization Module
• Video AI Result Integration Module
• Equipment Status Data Integration Module
• Worker and Object Event Integration Module
• Anomaly Detection Module
• Candidate Accident Cause Analysis Module
• XAI Risk Evidence Explanation Module
• Accident Likelihood Prediction Module
• Risk Prioritization Module
• Integrated Monitoring Dashboard
• Digital-Twin Integration Module
• Warning and Notification Module
• Accident and Response History Management Module
• External System API Integration Module

BoryForesight Platform can be configured for on-premises, cloud, edge-integrated, or API-integrated deployment according to the customer's site structure, available data, monitoring method, and security policy.

 

Core Modules

 

1. Site Data Collection and Normalization Module

This module collects sensor, equipment, video, and event data generated at industrial sites and facility operating environments and organizes it into an analyzable form.

Even when data sources and formats differ, the module converts them into a common analytical structure for accident prediction, risk analysis, and monitoring dashboards.

 

Examples of use include:

• Collection of Temperature, Humidity, Gas, and Vibration Sensor Data
• Equipment Status Data Integration
• Hazardous-Area Event Collection
• Worker Location and Movement-Path Data Integration
• CCTV and Video AI Analysis Result Integration
• Site Alert and Warning Event Collection

 

2. Sensor-Based Anomaly Detection Module

This module detects changes in sensor readings, threshold exceedances, sudden pattern changes, data reception failures, and recurring anomalous signals.

It can analyze temperature increases, rising gas concentrations, abnormal vibration, humidity changes, pressure changes, electrical anomalies, and communication failures as risk signs.

 

Examples of use include:

• Sensor Threshold Exceedance Detection
• Rapid Rate-of-Change Detection
• Recurring Anomaly Pattern Detection
• Missing Data Detection
• Equipment Anomaly Sign Analysis
• Accumulated Hazardous-Condition Analysis

 

3. Video AI Event Integration Module

This module integrates video AI results analyzed by BoryVision, BoryTrack, BorySafe Guard, and related systems as accident-prediction data.

Worker locations, PPE use, access to hazardous areas, abnormal behavior, approaches to equipment, and object-movement events can be used for integrated monitoring.

 

Examples of use include:

• Worker Hazardous-Area Access Event Integration
• PPE Non-Compliance Event Integration
• Abnormal Behavior Detection Result Integration
• Object Tracking Result Integration
• Equipment-Proximity Event Integration
• Multi-Camera Event Integration

 

4. Candidate Accident Cause Analysis Module

This module analyzes candidate accident causes based on relevant data when a hazardous event occurs.

Rather than relying on a single alert, it organizes candidate causes by jointly considering changes in sensor readings, worker movement paths, equipment conditions, environmental conditions, past accident history, and response history.

 

Examples of use include:

• Candidate Accident Cause Identification
• Analysis of Related Sensor Reading Changes
• Analysis of Related Worker Behavior
• Linking Equipment Conditions to Risk Events
• Comparison with Similar Past Accidents
• Analysis of Conditions for Recurrence

 

5. XAI Risk Evidence Explanation Module

This module provides explainable evidence for AI-assessed risk levels and accident likelihood.

Managers can review not only the risk assessment but also the data and conditions that contributed to the increase in risk.

 

Examples of use include:

• Display of Risk Assessment Evidence
• Display of Related Sensor Data
• Linking Related Video Events
• Display of Past Accident History as Evidence
• Explanation of Hazardous-Condition Contributions
• Cause Explanation for Manager Review

 

6. Accident Likelihood Prediction Module

This module predicts accident likelihood or risk occurrence based on current site conditions and historical data.

The prediction is not used to declare that an accident will occur, but to present risk candidates that managers should review first.

 

Examples of use include:

• Accident Likelihood Score Calculation
• Risk Prediction by Hazardous Area
• Anomaly Likelihood Prediction by Equipment
• Analysis of Time Periods with Increasing Risk
• Recurring Risk Pattern Prediction
• Early Warning Before a Risk Event

 

7. Risk Prioritization Module

This module organizes priorities when multiple risk events occur simultaneously, indicating which event should be reviewed first.

Priorities can be calculated based on risk level, worker proximity, equipment importance, sensor anomaly intensity, past accident history, and scope of impact.

 

Examples of use include:

• High-Risk Event Priority Display
• Recommendation of Events for Managers to Review First
• Site Risk Ranking
• Equipment Risk Ranking
• Alert Priority Settings by Hazardous Area
• Recurring Warning Filtering

 

8. Integrated Monitoring Dashboard Module

This monitoring module allows risk events, accident likelihood, candidate causes, sensor readings, video events, equipment conditions, alert history, and response status to be reviewed on a single screen.

It can provide role-based screens for site managers, safety managers, operations staff, headquarters managers, and other users.

Examples of use include:

• Risk Status by Site
• Equipment Status Monitoring
• Risk Event List
• Candidate Accident Cause Review
• XAI Evidence Review
• Alert and Response Status Management
• Monthly and Weekly Risk Report Review

 

9. Digital-Twin Monitoring Integration Module

This module links site drawings, equipment locations, hazardous areas, sensor locations, camera locations, worker locations, and event occurrence points to a digital-twin screen.

Managers can intuitively identify where a risk event occurred on a monitoring screen that resembles the actual site layout.

Examples of use include:

• Location-Based Risk Display for Equipment
• Location-Based Anomaly Display for Sensors
• Location-Based Risk Display for Workers
• Hazardous-Area Access Event Display
• Linking Camera Locations to Video Events
• Site-Drawing-Based Monitoring Screen Configuration

 

10. Accident and Response History Management Module

This module stores and manages risk events, candidate accident causes, manager review details, response results, and recurrence-prevention measures.

Accumulated history can be used for future accident prediction, risk-pattern analysis, safety training, internal reporting, and recurrence-prevention planning.

Examples of use include:

• Accident History Storage
• Risk Event Processing Status Management
• Manager Response History Management
• Recurrence-Prevention Measure Recording
• Similar Accident Search
• Safety Report Generation

 

Platform Deployment Models

 

On-Premises

For factories, public institutions, industrial sites, and facility-management environments operated primarily on internal networks, the platform can be deployed on internal servers.

This model is suitable for environments where sensor data, video analysis results, equipment status information, and worker events are difficult to transmit externally.

 

Cloud

When multiple branches, sites, or customers must be managed together, the platform can be configured as a cloud-based monitoring platform.

Headquarters can centrally review risk events and accident likelihood across multiple sites.

 

Edge-Integrated

Primary analysis is performed on cameras, sensors, gateways, site PCs, or board-based devices, while the platform centrally manages analysis results and events.

This model is suitable for environments where real-time performance, network constraints, and data security are important.

 

API-Integrated

The platform can integrate through APIs with the customer's existing safety-management system, equipment-management system, sensor platform, CCTV monitoring system, and digital-twin system.

This approach adds XAI accident-cause prediction and integrated monitoring capabilities while retaining existing systems.

 

Application Areas

 

Integrated Industrial-Safety Monitoring

The platform can be used at manufacturing plants, smart factories, logistics centers, construction sites, and equipment facilities to jointly analyze hazardous worker behavior, equipment anomalies, sensor changes, and access to hazardous areas.

When integrated with BorySafe Guard Solution, it can combine video-AI-based industrial-safety monitoring with XAI accident-cause prediction.

 

Equipment Anomaly Prediction and Monitoring

The platform can analyze equipment status, vibration, temperature, pressure, power, gas, noise, and other data to predict signs of equipment anomalies and accident likelihood.

When integrated with BoryRMS Solution and BorySensor Platform, it can combine sensor-based remote monitoring with accident-prediction monitoring.

 

Digital-Twin-Based Safety Monitoring

Site drawings, equipment locations, hazardous areas, sensor locations, and camera locations can be reflected on a digital-twin screen to intuitively display risk events.

Managers can review areas with a high accident likelihood and related candidate causes in a spatial context.

 

Public Facility and Infrastructure Monitoring

The platform can be used to jointly analyze sensor and video data at public facilities, underground spaces, transportation facilities, energy facilities, environmental facilities, warehouses, and logistics infrastructure.

When hazardous conditions occur, priority-based notifications can be delivered to responsible personnel.

 

Environmental and Disaster Risk Monitoring

The platform can analyze risk changes and anomaly signs using temperature, humidity, gas, water-level, vibration, weather, and environmental sensor data.

It can be used as an early risk-assessment support system at sites where environmental changes are linked to accident likelihood.

 

Recurrence Prevention Based on Accident History

Past accident history, response history, and risk-event data can be managed together to detect similar hazardous situations and support recurrence-prevention activities.

The data can be extended for safety training, internal reporting, improvement actions, and risk-assessment materials.

 

Integrated Products and Solutions

 

BoryForesight

Used as the core platform of the XAI Integrated Monitoring Package for Accident Cause Prediction.

Provides accident-cause analysis, risk prediction, integrated monitoring, and explainable AI capabilities.

 

BoryForesight Solution

Used as the foundation platform for an XAI accident-cause prediction and integrated monitoring solution built for the customer's site data, sensors, equipment, video analysis results, and monitoring systems.

 

BorySafe Guard Solution

Worker, PPE, hazardous-area, abnormal-behavior, and digital-twin monitoring data from industrial sites can be integrated into accident-prediction analysis.

 

BoryRMS Solution

Remote monitoring data from sensors such as temperature, humidity, pH, water level, gas, and vibration can be used for accident-risk analysis.

 

BoryVision Platform

Video AI analysis results can be linked to accident prediction and risk-event analysis.

 

BorySensor Platform

An accident-prediction data foundation can be configured by linking sensor and IoT data collection, gateway integration, and data-integration structures.

 

BoryData Platform

The platform can connect with a data-driven platform that analyzes accident history, sensor history, event data, response history, and monitoring statistics.

 

Expected Benefits

 

Early Recognition of Accident Risk

Joint analysis of sensor, video, equipment, and worker data enables early identification of conditions in which accident likelihood is increasing.

 

Improved Explainability of Accident Causes

By explaining which data and conditions influenced a risk assessment rather than providing only a warning, the platform supports informed managerial decisions.

 

Improved Integrated Monitoring Efficiency

By integrating risk events and sensor data distributed across multiple systems into a unified monitoring structure, the platform reduces the time required for managers to understand a situation.

 

Clear Site-Response Priorities

Even when multiple risk events occur simultaneously, the platform can organize which events should be reviewed first based on risk level and scope of impact.

 

Recurrence Prevention Based on Accident History

By structuring past accident and response histories as data, the platform supports detection of similar hazardous situations, training, improvement actions, and recurrence prevention.

 

Enhancement of Existing Safety-Management Systems

The platform adds XAI accident-cause prediction and integrated monitoring capabilities without replacing existing CCTV, sensors, equipment-management systems, or safety-management systems.

 

Deployment Process

 

1. Requirements Review

We review the customer's site type, accident risk factors, sensor configuration, availability of video analysis, equipment data, monitoring method, and security policy.

 

2. Data Structure Analysis

We analyze sensor data, equipment status, video events, worker movement paths, accident history, response history, and existing monitoring data.

 

3. Platform Architecture Design

We design the scope of data collection, anomaly detection, candidate accident cause analysis, XAI evidence display, integrated monitoring dashboard, and digital-twin integration.

 

4. PoC Deployment

Using selected sites or data, we verify accident-risk analysis, candidate cause identification, monitoring-screen display, and API integration feasibility.

 

5. Platform Deployment

We build the AI analysis engine, database, dashboard, APIs, warning and notification architecture, and access-control structure for the customer's environment.

 

6. Site System Integration

We integrate sensors, gateways, CCTV, video AI, equipment systems, safety-management systems, digital twins, and notification systems.

 

7. Operational Validation and Enhancement

Using actual operational data, we improve risk thresholds, accident-cause analysis quality, notification criteria, dashboard configuration, and XAI explanation results.

 

What BoryForesight Platform Can Deliver

 

• XAI Accident Cause Prediction Platform Deployment
• Sensor-Data-Based Risk Analysis
• Video-AI-Event-Based Risk Analysis
• Equipment Anomaly Sign Detection
• Integrated Worker and Object Event Analysis
• Candidate Accident Cause Identification
• Accident Likelihood Prediction
• Explainable AI Risk Evidence
• Risk Prioritization
• Integrated Monitoring Dashboard Deployment
• Digital-Twin Monitoring Integration
• Warning and Notification System Integration
• Accident and Response History Management
• Safety Report Generation
• Integration with Existing Sensor, CCTV, and Equipment Systems
• On-Premises Accident-Prediction Platform Deployment
• Cloud-Based Multi-Site Integrated Monitoring Platform Deployment
• API-Based Integration with External Safety-Management Systems

 

Adoption Inquiry

BoryForesight Platform can be proposed as an on-premises, cloud, edge-integrated, API-integrated, or digital-twin monitoring model according to the customer's site data, sensor configuration, scope of video analysis, equipment systems, accident history, and monitoring method.

• XAI Accident Cause Prediction Platform Inquiry
• Accident-Risk Integrated Monitoring Platform Inquiry
• Sensor-Based Accident-Prediction Platform Inquiry
• Industrial-Safety Integrated Monitoring Platform Inquiry
• Digital-Twin Safety-Monitoring Integration Inquiry
• Equipment Anomaly Prediction Platform Inquiry
• AI Accident Cause Analysis Platform Inquiry
• Risk-Priority Monitoring System Inquiry
• On-Premises Accident-Prediction Platform Inquiry
• Cloud-Based Multi-Site Monitoring Platform Inquiry
• BorySafe Guard Solution Integration Inquiry
• BoryRMS Solution Integration Inquiry
• Request a PoC Proposal

 

Important Information

BoryForesight Platform is an AI-based platform that jointly analyzes sensor, video, equipment, worker, and environmental data to predict accident risk and candidate causes and support integrated monitoring.

This platform assists accident prevention and safety-management work and does not guarantee that all accidents will be automatically predicted or that all hazardous situations will be completely prevented.

AI prediction results, risk scores, candidate accident causes, and proposed response actions must be finally assessed by site personnel and safety managers according to the organization's safety-management standards.

When sensor data, video analysis results, equipment status, worker locations, accident history, or response history is stored or analyzed, prior consultation is required regarding personal-information protection, industrial security, video-information processing-device requirements, and internal security policies.

When XAI-based accident-cause analysis is applied, it is recommended that the analysis evidence and data sources be displayed together and that a responsible-person review process be established.

When integrating existing sensors, CCTV, equipment-management systems, digital twins, and safety-management systems, the deployment scope may vary depending on API availability, data formats, network architecture, and security policies.

Before adoption, the analysis objectives, data-integration scope, accident-risk criteria, notification policies, dashboard configuration, personal-data processing requirements, and operating processes should be reviewed.

 

Related Products, Solutions, and Platforms

 

Related Products

• BoryForesight / Bory XAI Integrated Monitoring Package for Accident Cause Prediction
• BorySafe Guard / Bory Digital-Twin Industrial-Safety AI Monitoring Package
• BoryRMS / Bory Sensor Remote Monitoring Package

 

Related Solutions

• BoryForesight Solution / Bory XAI Integrated Monitoring Solution for Accident Cause Prediction
• BorySafe Guard Solution / Bory AR and Digital-Twin Industrial-Safety Solution
• BoryRMS Solution / Bory Sensor Remote Monitoring Solution
• BoryData Solution / Bory Data Analytics and Processing Solution
• BoryVision Solution / Bory Video and Image AI Analysis Solution
• BoryTrack Solution / Bory Spatial Recognition and Object Tracking Solution

 

Related Platforms

• BorySafe Platform / Bory Industrial-Safety Platform
• BorySensor Platform / Bory Sensor and IoT Platform
• BoryVision Platform / Bory Video AI Platform
• BoryData Platform / Bory Data Analytics Platform
• BORY AI Platform / Bory Artificial Intelligence Platform

 

---

BORY.ai Key Services Overview

Bory Co., Ltd. develops products, solutions, platforms, and services for industrial, medical, public-sector, healthcare, and barrier-free applications based on AI technologies involving speech, language, video, sensors, and data.

Below are the main representative domains currently operated or being prepared by Bory Co., Ltd. 

 

Primary Domain	Service/Brand	Description
bory.ai	BORY.ai	The official AI brand website of Bory Co., Ltd., serving as the company’s main website for the integrated presentation of its products, solutions, platforms, and services
borysense.com	BORY SENSE	An AI-powered hearing assistance platform that supports communication for people with hearing disabilities and older adults through real-time captioning, lip-reading AI, and AR glasses integration
borytalk.com	BORY TALK	A web-based conversational AI chatbot service designed for civil service inquiries, consultations, information guidance, and customer support
borykiosk.com	BORY KIOSK	A barrier-free AI kiosk service for older adults and people with disabilities, featuring voice guidance, captioning, and easy-to-use interfaces
boryservice.com	BORY SERVICE	A service portal introducing Bory’s AI services and custom-built AI offerings for industrial, public-sector, and everyday applications
borysong.com	BORY SONG	A music AI service that supports AI-powered composition, music generation, and sound content production