Applications / Safety

Safety Gloves Detection

Detects whether hands are gloved for the task and zone in view, covering chemical-resistant, insulated, cut-resistant and hygiene glove requirements.

Safety Gloves: AI-Enhanced Workplace Security — Fogsphere detection illustration

See it in action

Glove compliance detection at the point of work

What it detects

Harvested from the computer-vision use-case columns of the Q3 industry papers. Every item below is a rule you can switch on, tune per zone and report on.

Glove presence at material handling

Flags bare hands during pipe handling, valve operations, palletising and manual material movement.

Chemical-resistant gloves

Applies where the Q3 chemical paper specifies chemical-resistant gloves alongside coveralls and face protection.

Insulated and arc-rated gloves

Covers work near energised equipment, where the paper names insulated gloves with arc-rated clothing.

Cut-resistant gloves

Flags blade, press, trim and packaging stations where cut protection is the specified glove class.

Hygiene gloves and glove-change events

Detects gloves and glove-change procedures in food-handling and clinical zones, with hand-sanitisation events alongside.

Bare hands near pinch points

Correlates glove state with hands approaching a machine envelope, conveyor or crush point.

Correct glove class per zone

Verifies the right glove for the area rather than treating any glove as compliant.

Compliance by line, zone and shift

Breaks the detections down so the reporting matches how the plant is actually managed.

Where it applies

The sub-sectors below are the ones the Q3 industry papers name for this detection. Each links to the industry hub.

In Oil & Gas

Hand protection during pipe handling and valve operations on rigs and refineries. Glove compliance during construction work and material handling.

How it works

01

Runs on the cameras you already have

Inference happens at the edge on your existing CCTV and IP streams. No new camera estate, no video leaving site, no cloud round-trip in the detection loop.

02

Thresholds and zones you configure

Draw the zone, set the rule, set the dwell, count and confidence thresholds. Rules differ by area, shift and task, because sites do.

03

Evidence, not just alerts

Every event is logged with camera, zone, timestamp and a clip, so the record is reviewable afterwards and usable in a corrective action.

04

Integrates with what you already run

Events push into your VMS, alerting and reporting stack through Fogsphere Manager, with dashboards broken down by area, shift and crew.

Risk & control objective

Hand injuries are the highest-frequency injury class on most industrial sites, and glove requirements are the most task-variable of all PPE rules. The same worker may need cut-resistant gloves at a trim station, chemical-resistant gloves at a decanting point and insulated gloves near a panel, within a single shift.

The Q3 power-generation paper frames the target state exactly: not “worker without gloves”, but the worker in a specific context where a specific glove class applies. That is the control objective — a rule that follows the task, produces a compliance figure per zone, and leaves a timestamped record when the rule is missed.

Related solutions

Safety Glasses Detection

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Hard Hat Detection

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Line of Fire

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See Safety Gloves running on your own cameras

Bring a camera stream and a zone. We will show you what the model surfaces on your site, not on a demo reel.