SAFVR
Tier-1 cement plant · South India

181 safety observations.
72 hours.
Zero human observers.

A leading South Indian cement manufacturer ran a 72-hour AURA pilot on five existing CCTV cameras. With no new hardware, no rip-and-replace, and no on-site auditors, the system surfaced a night-shift PPE blind spot the plant had never quantified.

94% verification rate5 cameras · 4 monitoring days57% night-shift incidents
AURA detection in a packing plant — worker without hard hat or vest, daytime
Live AURA detection · Camera PP-1
Detection
Missing hard hat + safety vest
Verified
181
verified observations
72
hours of footage
5
existing cameras
60%
lower vs human auditing
01 · Executive summary

What the customer actually got.

Continuous detection

5 existing IP cameras × 24/7 = the equivalent of 4.6 full-time human observers, running for less than the cost of one.

Night-shift truth

57% of all PPE non-compliance happened on night shift — a window that on-site auditing had never sampled meaningfully.

Audit-grade evidence

Every observation comes with a timestamped frame and zone tag. Verification rate held at 94% across all 181 events.

02 · The challenge

The plant had cameras everywhere.
Almost no one was watching.

Like most cement plants, the customer ran an extensive CCTV network — and a manual safety audit cadence that simply could not keep up. Auditors rotated zones during the day. After 7pm, the plant kept running, but the observation function went dark.

0
auditors after 7pm
1×/wk
physical PPE rounds
<5%
of CCTV footage reviewed
What was happening before SAFVR
  • Hard-hat and vest compliance audited via clipboard, on a weekly cadence.
  • Night-shift activity (packing, dispatch, truck loading) had no observation coverage.
  • Incident reports lagged the actual event by 4–9 days on average.
  • No statistical view of repeat zones, repeat times, or repeat behaviours.
  • Underwriting renewals relied on the plant's own narrative — no third-party evidence.
03 · Pilot shape

Five cameras. Four days. One unedited dataset.

SAFVR connected to five RTSP streams already running on the plant's CCTV network. No new hardware, no on-site rewiring, no operator re-training. AURA ran continuous detection across all five feeds for 72 hours of the 4-day monitoring window.

Detection covered three PPE classes — hard hat, safety vest, and dual-PPE compliance — plus zone-specific behaviour signals (truck-loading proximity, yard pedestrian crossings, night-shift presence).

Every flagged frame was independently verified by a SAFVR analyst before inclusion in the final report. The 94% verification rate is a true post-review number, not a model-confidence score.

Time to first detection
< 90 minfrom camera onboarding
Camera coverage matrix
CamZoneObservations
PP-1Packing Plant · Bay A47
PP-1BPacking Plant · Bay B31
PP-2APacking Plant · Loadout38
PP-2BPacking Plant · Yard42
PP-3Mill Floor · Crossover23
Total181
04 · Where it happened

70% of risk concentrated in 3 zones.

The packing plant's loading and dispatch corridor produced more PPE observations than the rest of the floor combined — exactly where weekly audits had the lowest dwell time.

Packing Plant · Bay A47 · 26%
Packing Plant · Yard42 · 23%
Packing Plant · Loadout38 · 21%
Packing Plant · Bay B31 · 17%
Mill Floor · Crossover23 · 13%
05 · The night-shift truth

The plant's biggest blind spot wasn't a zone. It was a time of day.

Day shift · 06:00 – 18:00
43%
78 observations

Auditor coverage = high. Compliance trends improve through the morning, drop after lunch break.

Night shift · 18:00 – 06:00
57%
103 observations

Auditor coverage = effectively zero. Truck loadout and yard staging produced the largest single cluster of unsafe acts.

06 · Field evidence

Every observation is a verifiable frame.

A representative sample of the 181 observations. Faces blurred for confidentiality; tags are unedited from AURA's output.

Incident 1: No hard hat + no vest (Day)
Day
Cam PP-1 · #01
No hard hat + no vest
Incident 2: No hard hat (Night)
Night
Cam PP-1 · #02
No hard hat
Incident 3: PPE non-compliance (Day)
Day
Cam PP-1B · #03
PPE non-compliance
Incident 4: No hard hat + no vest (Day)
Day
Cam PP-3 · #04
No hard hat + no vest
Incident 5: No vest (Day)
Day
Cam PP-3 · #05
No vest
Incident 6: Loadout bay risk (Day)
Day
Cam PP-2A · #06
Loadout bay risk
Incident 7: Yard pedestrian risk (Day)
Day
Cam PP-2B · #07
Yard pedestrian risk
Incident 8: Night-shift dispatch (Night)
Night
Cam PP-2B · #08
Night-shift dispatch
07 · Before / after

What changed in 72 hours.

MetricBefore SAFVRWith AURA
Observation cadenceWeekly clipboard roundsContinuous, every frame
Night-shift coverageEffectively 0%100% (no auditor required)
Time to first signal4–9 days post-event< 90 minutes from feed
Evidence per observationNarrative logTimestamped frame + zone tag
Repeat-offender insightAnecdotalStatistical, by zone × time
Cost vs human auditor1 FTE / shift60% lower, 24/7 coverage
08 · The economics

Cheaper than auditors. Working when they aren't.

4.6×
human-observer equivalent

of continuous coverage from 5 cameras.

60%
lower vs human auditing

for the same monitored hours.

94%
verification rate

post-analyst review on all 181 observations.

“In 72 hours we got more usable safety data than the previous quarter combined. The night-shift number is what stopped me — we had no idea the gap was that wide.”

Senior Safety Supervisor · customer site
Run the same pilot on your floor

Five cameras. Thirty days. One unedited dataset of your own.

SAFVR runs a fixed-scope, fixed-fee pilot using the cameras you already have. You get the same artefacts the cement plant received: zone × time observations, verified frames, ROI modelling, and a remediation roadmap.

  • Connects to existing IP cameras (RTSP/ONVIF).
  • No on-prem hardware swap. Live in days, not months.
  • Edge or cloud — your choice. Raw video can stay on-site.
  • Fixed-fee pilot. Walk away anytime.