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Worker Safety
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Use case

PPE detection and workplace compliance labeling

Industrial safety AI verifies PPE usage, proximity to machinery, and compliance with site rules. We build datasets that reduce workplace incidents through reliable vision models.

Industry challenges

  • !Partial PPE occlusion and dusty environments
  • !Real-time inference needs tight box precision
  • !Site-specific rule definitions

How we help

  • Helmet, vest, glove, and equipment labels
  • Danger zone polygons around machinery
  • Compliance scoring metadata per clip

Annotation types

PPE detectionZonesPose + equipment

Worker Safety data annotation services

Industrial safety vision verifies helmets, vests, gloves, and proximity to machinery. Compliance models must work in dusty, dynamic job sites — not just clean demo videos.

We build PPE and zone datasets for construction, logistics, and manufacturing with site-specific rule definitions.

Key benefits

  • Helmet and vest detection
  • Machinery danger zones
  • Compliance scoring metadata

Best practices for worker safety labeling

  1. Define PPE classes per site policy
  2. QA on partial occlusion cases

Frequently asked questions

What PPE classes can you annotate?
Helmets, vests, gloves, goggles, and site-specific equipment with bounding boxes and zones.
Do you support real-time safety models?
We deliver training data optimized for edge deployment with tight box precision targets.