Triplet OZO
Safety & Risk AI
Detect early warning signs before they escalate into accidents. Deliver immediate alerts on-site, and actionable notifications to managers for informed decision-making. The moment a risk is identified,
Triplet OZO enables both on-site teams and administrators to respond without delay.
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Recurring Problems
Accidents seem sudden,
but small deviations always precede them.
- Restricted-zone breaches must be stopped instantly, but constant monitoring isn’t feasible.
- PPE compliance policies crumble the moment workers cut corners for convenience.
- By the time you review the record, it’s already too late — you’re looking at an incident, not a warning.
How Triplet AI
detects risk
Triplet OZO records on-site movements and organizes them into a format managers can act on immediately.
Not complex numbers — an intuitive view of what’s happening in the space right now.
- Real-time risk signal detection
- Cumulative risk event logging
- Analyze recurring patterns to prevent recurrence
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From real-time monitoring to recurrence prevention
Spot abnormal behavior and early warning signs before incidents occur.
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Detection Categories
Detects every situation that can pose a risk to the worksite. Fire / Smoke / PPE non-compliance / Falls / Smoking / Phone use / Oil spills
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Fire
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Smoke
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Missing safety gear
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Falls
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Smoking
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Phone use
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Oil spills
+ More
Building benchmarks for decision
We help operators understand and act on risk signals occurring in the space.
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1. We observe warning signs.
Detect small deviations—smoke, intrusion, missing gear, falls—before they become incidents.
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2. We remember the patterns.
Accidents seem random, but risks repeat structurally. We remember signals just before risks occur, not after.
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3. We interpret why things change — as patterns.
Where warning signs start, where intervention lags, what conditions amplify risk—we organize on-site concerns into explainable risk patterns.
Real-World Applications
One miss can lead to major incidents, but constant monitoring isn't feasible.
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AI auto-detects pre-incident signals: fire, smoke, abnormal behavior.
Speaker alerts + manager notifications reduce on-site response lead time.
After Implementation
- Frame-level real-time risk signal detection
- 24/7 non-stop AI monitoring
After incidents, you have to rewind footage, and root cause analysis takes time.
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Event timestamps and zones are auto-logged.
Accumulate recurring risk patterns to establish prevention standards.
After Implementation
- Event-based auto-logging & search
- Risk pattern reports by zone and time
- Not post-incident tracking—proactive prevention
USE CASE
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GS Caltex
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Hansol Paper
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Starfield
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Suan Coffee
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Want to learn more about Triplet OZO?
Explore Triplet’s Solutions
What answers does your space need?
Data without interpretation piles up and disappears. With Triplet, turn your data into answers that lead to the next action.
Contact Us