🧢 Safety & PPE Detection

How Kashef Detects Missing PPE in 2.4 Seconds: Before Any Incident Occurs

A Riyadh contractor moved from 71 percent to 96 percent PPE compliance in one month. Not by hiring more safety officers. Not by increasing penalties. By deploying Kashef, HOSN's AI vision platform, across three active construction sites and letting the system detect every violation the moment it happened.

HR
HOSN Research Team
HOSN Technologies
May 19, 2026
6 min read
AI PPE safety compliance detection construction site Saudi Arabia HOSN Kashef

In most construction environments, PPE compliance monitoring works the same way: a safety officer walks the site, spots violations, and issues warnings. The problem is that a safety officer can only cover one zone at a time. Violations happen constantly in the gaps between rounds, and no one catches them.

The result is a safety record that reflects what was caught, not what actually happened. And the liability exposure that comes with it grows silently, incident by incident.

PPE Compliance Rate — Riyadh Construction Client
71%
96%
Improvement within 30 days of Kashef deployment
3 active sites · 380 workers · zero hardware changes

What Kashef Detects and How It Works

Kashef's PPE detection agent uses a multi-class vision model trained on hundreds of thousands of annotated images from real construction, industrial, and logistics environments. The model classifies each detected person in the camera frame against a configurable PPE checklist and flags any person who enters a defined zone without the required equipment.

Safety Helmet
Hard hat presence and correct positioning
🧢
High-Visibility Vest
Worn correctly, not removed or left open
😷
Face Mask and Respirator
For chemical, dust, or confined-space zones
🥷
Safety Gloves
In designated hand-hazard zones
How the 2.4 Second Detection Loop Works

Each camera zone has a defined PPE requirement. When Kashef detects a person entering that zone, it runs a classification pass on the detected figure within 2.4 seconds. If any required item is absent, a real-time alert is sent to the designated supervisor via SMS, app notification, or the HOSN dashboard, along with a timestamped screenshot of the violation.

The 30-Day Case Study: Riyadh Construction Site

The contractor had three active sites, 380 workers, and an existing camera network. Before Kashef, the safety team ran manual walkthroughs twice per shift. PPE compliance was self-reported. Actual violation rates were completely unknown.

Week 1 — Deployment
Kashef goes live. The real numbers surface.
In the first 72 hours, Kashef flagged 847 PPE violations across the three sites. The measured compliance rate was 71 percent, far below what manual inspections had suggested. Workers were aware of the new system from the first day. Supervisors received real-time alerts for the first time in the company's history.
Week 2 — Behavioral Shift
Visibility changes behavior immediately.
Daily violations dropped from an average of 282 to 94 as workers adapted to the certainty of detection. Compliance rose to 84 percent. Supervisors observed that workers entering zones began checking their own equipment proactively before stepping into camera-covered areas, without being prompted.
Weeks 3 and 4 — Sustained Compliance
96 percent compliance. Held.
Daily violations stabilized at under 30 across all three sites combined. Compliance reached 96 percent and held through the end of the measurement period. The remaining violations were concentrated in high-heat conditions where workers briefly removed equipment. The safety team could address these exceptions directly.
847
Violations detected in first 72 hours
-94%
Reduction in daily violations by end of month
0
Recordable incidents in the 30-day period

Why Detection Speed Matters: The Liability Calculation

The 2.4 second detection window is the operational difference between prevention and documentation. When a violation is detected in real time, a supervisor can intervene before an incident occurs. When it is discovered after the fact, the only thing available is a record of what went wrong.

For companies operating under Saudi occupational safety regulations, and particularly for contractors working on government or ARAMCO-adjacent projects, documented PPE violations create direct financial and legal liability. Kashef's automated violation log also serves as an audit trail that demonstrates active due diligence to regulators and insurers.

The Core Insight

PPE compliance improved from 71 percent to 96 percent not because Kashef punished workers. It improved because certainty of detection changed the calculation for every worker on site. When every violation is caught automatically, violations become rare. The system creates accountability without confrontation.

See What Your Sites Are Missing Right Now

HOSN will connect Kashef to your existing cameras and run a 48-hour compliance audit showing you your real PPE violation rate before any commercial conversation.

Request a Safety Audit
PPE DetectionKashefHOSN Safety ComplianceConstruction Saudi ArabiaAI Vision
HR
HOSN Research Team
Operational Intelligence Research, HOSN Technologies
HOSN's research team publishes operational data, case studies, and benchmarks from live deployments across Saudi Arabia and the GCC, giving operators the real-world evidence they need to make deployment decisions.