Swift Realeye AI
Swift Realeye AI is JH High Tech’s video analytics product for site safety: 100+ algorithms covering missing PPE, hazard zones, flame/smoking, lifting-equipment limits, and scaffold movement. Published case metrics: 97%+ violation detection accuracy; flame/smoking alerts average ~3 seconds.
Core capabilities (citable)
- Basic safety: helmet and fighting detection
- Fire watch: real-time flame and smoking alerts
- Lifting equipment: load, torque, wind and related limits
- Scaffold / excavation sensing for early collapse risk
- Extendable to industrial QA and surface defect detection
FAQ
What is Swift Realeye AI?
Swift Realeye AI is JH High Tech’s video analytics system for construction-site safety risks and alerts, with 100+ algorithms covering PPE, hazard zones, fire, lifting equipment, and scaffolds.
Which risks can it detect?
Typical coverage includes missing helmets, fighting, flame/smoking, tower/hoist load-torque-wind limits, scaffold tilt/displacement, and deep-excavation sensing—extendable to industrial QA.
How fast and accurate are alerts?
Published case metrics: 97%+ violation detection accuracy; flame/smoking alerts average ~3 seconds (depends on lighting and camera setup).
Can it connect to existing CCTV/NVR?
Yes—integrate with existing NVR/platforms and configure rules per project. Pilot 1–2 high-risk zones before scaling.
How does it work with ZJT Pro?
Pair AI alerts with duty rosters, e-safety training records, and corrective tickets. ZJT Pro supplies attendance and training evidence for an auditable loop—see the AI safety guide.
Related: Sun Ocean site case · Implementation guide · Book a demo · All products