Drishti

Safety & Compliance

Fire/Smoke Detection

Flag visible fire or smoke conditions for rapid escalation in operational areas.

FacilitiesSecurityEHS

Business problem

Delays in identifying visible smoke or fire-like conditions can lead to operational disruption, safety exposure, and property risk.

Drishti solution

Detect visible smoke, flames, or unusual visual conditions and trigger human-reviewed escalation workflows.

Library benefits

  • Faster response times
  • Reduced property damage risk
  • Improved employee safety workflows

Sample scenarios

  • Back-of-house kitchen smoke review
  • Battery charging area visual event
  • Warehouse dock smoke-like condition

Buyer context

Fire and smoke detection is positioned as a visual escalation layer for operational areas, not a replacement for certified life-safety systems, fire alarms, suppression, or code-required monitoring.

Signals Drishti can monitor

Smoke-like visual event
Fire-like visual event
Escalation workflow started

Teams that use this workflow

Facilities
Security
EHS

Operational outcomes

Earlier response
Clear incident record
Reduced monitoring load

Sample alerts

Smoke-like visual condition detected in monitored zone
Fire-like visual condition requires immediate review
Escalation workflow started for facilities and security teams
Reviewer confirmed event and attached incident notes

Pilot and rollout plan

Use only as an additional visual intelligence signal alongside approved life-safety systems.
Prioritize high-risk operational areas such as kitchens, warehouses, industrial zones, utility rooms, and loading areas.
Define escalation procedures with facilities, security, EHS, and local site leadership before go-live.

KPIs to evaluate

Visual event review time
Escalation acknowledgement SLA
Incident evidence completeness
High-risk zone coverage

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.

Restaurants & Cloud Kitchens

Cloud kitchen operator adds visual smoke escalation for back-of-house areas

A multi-brand kitchen operator wants earlier visibility into visible smoke-like conditions in prep, cooking, and delivery staging areas while continuing to rely on certified fire-safety systems for life-safety compliance.

Drishti workflow

  • Connect existing kitchen and corridor cameras where policy permits.
  • Configure smoke-like visual event detection with human review before escalation.
  • Route confirmed events to facilities, shift managers, and incident review owners.

Sample outcome

  • Faster operational awareness for visible conditions.
  • Cleaner incident records for training and facilities follow-up.
  • A clearer distinction between visual intelligence and required fire-safety systems.

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

Warehousing & Logistics

Warehouse team improves review of smoke-like visual events

A distribution operator wants a governed way to review visible smoke-like events near charging, packing, and dock areas without adding new camera hardware.

Drishti workflow

  • Map existing cameras to high-risk operational zones.
  • Define severity labels and escalation owners.
  • Add event evidence to incident reviews and facilities work orders.

Sample outcome

  • Earlier human review of high-priority visual signals.
  • More structured evidence for incident follow-up.
  • Improved coordination between operations, facilities, and EHS.

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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