Drishti

Safety & Compliance

PPE Detection

Identify missing helmets, vests, masks, or other required protective equipment in configured zones.

EHSManufacturingConstruction

Business problem

Workers often enter hazardous areas without required safety equipment such as helmets, gloves, safety glasses, masks, or high-visibility clothing. Manual supervision is difficult across large facilities.

Drishti solution

Automatically identify visible PPE exceptions in configured zones and notify supervisors through governed review workflows.

Library benefits

  • Improve worker safety
  • Reduce compliance violations
  • Lower incident risk
  • Support audit requirements

Sample scenarios

  • Forklift aisle hard-hat review
  • High-visibility vest checks near loading zones
  • Mask or eyewear policy review in controlled areas

Buyer context

Safety and compliance teams need earlier visibility into visible risk conditions, stronger audit evidence, and a repeatable way to review exceptions across sites without relying on constant human monitoring.

Signals Drishti can monitor

Missing PPE in marked area
Repeated non-compliance by zone
Policy exceptions requiring review

Teams that use this workflow

EHS
Manufacturing
Construction

Operational outcomes

Faster intervention
Audit-ready evidence
Better safety coaching

Sample alerts

Safety exception detected in a configured zone
Repeat event pattern requires supervisor review
High-priority event pending disposition beyond SLA
Monthly audit evidence package ready for export

Pilot and rollout plan

Start with two or three high-risk zones and one measurable safety workflow.
Run a calibration period with human review before operationalizing alerts.
Add audit reports, policy labels, and exception taxonomy after early signal quality is validated.

KPIs to evaluate

Event review SLA
Repeat exception rate
Audit evidence completeness
Corrective action cycle time

Operating workflow

1

Define camera zones, risk thresholds, escalation rules, and review owners with EHS and site leadership.

2

Route high-priority events to safety, facilities, or security teams with evidence and required disposition fields.

3

Review repeat exceptions by site, shift, zone, and policy so coaching and corrective actions are based on observable patterns.

Sample case studies

These are illustrative GTM examples to help buyers understand deployment patterns. They are not customer claims, customer logos, or guaranteed outcomes.

Manufacturing

Regional manufacturer standardizes visible PPE reviews

A multi-plant operations team wants a more consistent way to review visible PPE and restricted-zone exceptions without adding manual screen-watching headcount.

Drishti workflow

  • Connect existing line and aisle cameras for selected pilot zones.
  • Configure policy labels by zone, shift, and event severity.
  • Create weekly EHS review packets with event counts, reviewer decisions, and coaching notes.

Sample outcome

  • A repeatable safety review cadence for plant leaders.
  • More complete audit trail for visible policy exceptions.
  • Clearer prioritization of zones requiring training or signage changes.

Illustrative sample case study for GTM content, not a claimed customer result.

Construction

Construction operator improves after-hours jobsite escalation

A contractor needs faster visibility into off-hours activity and high-risk access zones across active jobsites with temporary camera layouts.

Drishti workflow

  • Map temporary site cameras to changing access zones.
  • Apply time-window rules for after-hours and restricted-area events.
  • Escalate only reviewed events to site leadership and security partners.

Sample outcome

  • Earlier exception review for high-risk zones.
  • Cleaner handoff between site teams and security operations.
  • Better incident reconstruction without searching entire video archives.

Illustrative sample case study for GTM content, not a claimed customer result.

Governed review workflow

Drishti is designed to support event queues, reviewer decisions, notes, reports, and retention controls so teams can act without turning video into unmanaged data exhaust.

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