Before01
The company
- 500,000 body parts a year
- Press, robot and forklift routes overlap
- Blind spots in CCTV monitoring
AI
Industrial safety
Structural safety built by technology — the standard for AI industrial safety
OVERVIEW
Instead of finding the cause after an accident,the dangerous moment is stopped where it happens
Safety management moves from experience and instinct to judgment read out of video and sensor data.
01Reliance on experience and instinct
Safety management that depends on a worker's intuition and experience is limited in carrying out objective risk assessment and continuous preventive activity.
02Failure to meet serious-accident liability law
If an accident occurs at a workplace that has not established a safety and health management system, the responsible executive becomes subject to criminal penalties.
03Weak recurrence-prevention system
With too little accumulated accident-analysis data, fundamental countermeasures are hard to establish, creating a vicious cycle in which similar accidents repeat.
KEY FEATURES
Four capabilities that read risk on the floor
From object and behavior recognition through compound hazard detection and collision prevention to model optimization.
Capability Index04
Safety Capability
01 / 04
01
Object and behavior recognition
Composite hazard detection
Collision prevention and control algorithm
Model optimization
It identifies workers, equipment and hazardous materials on the industrial site in real time and analyzes their movement. Overcoming the limits of human vision, it provides monitoring with no blind spots and judges hazardous situations the moment they arise, preventing safety accidents.
Management Scope
- Multi-object tracking
- Abnormal behavior learning
- Edge AI processing
- Real-time hazard detection
- Collision prediction algorithm
- Site-specific training
Object and behavior recognition
CCTV footage detects in real time whether workers are wearing helmets, entering hazardous zones or behaving unusually
WORKFLOW
The workflow behind each capability
For each capability, the order it runs in and the check it passes before moving on.
Defining risk and monitoring scope per process
- 01
Site check
press · robot · forklift
- 02
Zone setup
work · access · passage zones
- 03
Video linkage
check occlusion · lighting · blind spots
- 04
Register standard
risk condition/responsible party
Recorded alongside
01
Camera/
02
Work/
03
Alert threshold/
Operating check
Can the actual hazard zone be observed?
YES
Monitoring scope → apply standard
NO
Blind spot → add camera/sensor
An example workflow · the detailed links and criteria are set to suit your floor.
SYSTEM ARCHITECTURE
What it connects,and the work it leads to
From the data that goes in to the results on the floor.
01 / INPUT
01Site videoCameras · workers · vehicles
02Hazard zonesEquipment areas · walkways · no-go lines
03Auxiliary signalsAccess · sensors · equipment state
CONNECTED OPERATIONS
AI Safety
Recognize people, equipment and actions
Distance · direction · hazard events
Warnings · response · review history
03 / OUTPUT
✓Hazard statusLocation · type · time
✓Instant alertsControl room · on-site alarms
✓Response recordCheck · action · recurrence review
01 / INPUT
01Site videoCameras · workers · vehicles
02Hazard zonesEquipment areas · walkways · no-go lines
03Auxiliary signalsAccess · sensors · equipment state
CONNECTED OPERATIONS
AI Safety
Recognize people, equipment and actions
Distance · direction · hazard events
Warnings · response · review history
CONNECTED OPERATIONS
AI Safety
Recognize people, equipment and actions
Distance · direction · hazard events
Warnings · response · review history
03 / OUTPUT
✓Hazard statusLocation · type · time
✓Instant alertsControl room · on-site alarms
✓Response recordCheck · action · recurrence review
Linked by common identifiers, master data and historyResults checked → fed into the next run
Who uses itSafety managersSite operatorsEquipment engineers
METHOD
How it is built
Site video and sensors gathered and judged, then returned as an alert or a control.
Collection01 →
Data Ingestion
CCTV
IP camera / RTSP
Wearables
Smart helmet / band
Environmental sensors
Gas / temperature / noise
Video framesLocation / vital signsGas / fireAccess / PTW
Signal processingSTFT / FFT
Frequency analysis · denoising · normalization
Time syncNTP/PTP
Maps timestamps to equipment history
Target System
Video storage
Time-series DBInfluxDB, Timescale
MetadataIncident history
Modeling & analysis02 →
AI/ML Modeling
Feature extraction & preprocessing
Behavior / postureAction recognition from video
Environment / fireCNN, XGBoost
Risk predictionCollision and pinch risk ahead
Analysis & prediction
Video preprocessing
Lighting correction, resolution normalization
Object detection
YOLO v10, 11
Pose estimation
Unsafe posture detection
Location estimation
Worker and heavy-equipment tracking
Service03
Operational visibility
Integrated safety monitoring
Worker location tracking
Instant hazard alerts
Early response, as it happens
Incident management & control
Serious-accident response
Safety compliance
Prevent serious accidents on the work site and build a safe working environment.
Construction sites
Manufacturing sites
Gas / chemicals
Logistics warehouses
Fire prevention
Security monitoring
Construction sites
Manufacturing sites
Gas / chemicals
Logistics warehouses
Fire prevention
Security monitoring
An accident is flagged at the dangerous moment, not after it.
- CCTV footage
- Access and occupancy
- Equipment running state
- Work permits
- Near-miss history
AI Safety
- Restricted area intrusion detection
- Protective equipment check
- Risk grading
- Serious accident risk
- Unprotected work
- Response time
- Safety check delivery
EFFECT
Business impact
What it leaves behind — in serious-accident risk, unprotected work, response time and inspection compliance.
- 01
Lower serious-accident risk
Entry into a danger zone and the first sign of failure are caught in real time and stopped before they become an accident.
Accidentszone entryfailure signs - 02
Less unprotected work
Missing protective equipment and skipped procedure are judged from video and warned on the spot, so no task runs unprotected.
PPEprocedureinstant warning - 03
Faster response
An incident is detected automatically and pushed straight to the person responsible, with the location and the steps to take.
Detectionnotificationprocedure - 04
Higher inspection compliance
Inspection history and proof of duty accumulate on their own, so the compliance rate the law asks for can be checked at any time.
Recordsduty of carecompliance rate
CASE STUDY
Case study
A car-parts plant where press lines, robot cells and forklift routes overlap, watched in real time by vision AI.
Customer industry
Car-parts manufacturing (pressing and welding)
After02
What was built
- 40 vision-AI cameras over the risk zones
- Equipment halts on zone entry
- Missing gear caught within 0.5s
What it produced
Visual monitoring replaced by real-time AI detection