Use case: caught-between

Caught-between and pinch-point exposure from jobsite cameras

Caught-between hazards often show up as brief positioning mistakes around moving equipment, fixed structures, and material handling. OSHA Compliance AI highlights these patterns in short clips so teams can correct the workflow before someone gets hurt.

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caught-between risk monitoring preview

What the system flags

Pinch-point exposure, crush-risk positioning, and combinations of restricted-zone entry plus equipment movement that create caught-between risk.

What you receive

Marked clips, evidence links, and recommendations that can be used directly in toolbox talks and corrective-action tracking.

How teams use it

Re-establish exclusion zones, improve spotter discipline, and correct repeated positioning patterns in staging and loading areas.

Highlights

  • Caught-between incident clips and evidence links
  • Repeat-pattern identification (not just one frame)
  • Recommendations aligned to zone control and supervision
  • Private workflow for internal prevention

Marked clips

Processed examples using existing evidence assets. Each clip is designed to be reviewable and actionable for supervisors.

Caught-between risk (segment 1)
Caught-between risk (segment 1)

A worker is positioned between equipment and a fixed structure while also entering a restricted zone.

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Caught-between risk (segment 2)
Caught-between risk (segment 2)

A later moment showing the same exposure pattern repeating in the footage.

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Caught-between risk (segment 3)
Caught-between risk (segment 3)

Proximity, equipment movement, and zone control combine into a preventable high-severity exposure.

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Evidence cards

Evidence cards make incidents easy to route, correct, and revisit during follow-up.

FAQ

Is caught-between detection always automated?

Not always. The system highlights likely pinch and crush configurations for supervisor review and prioritization.