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Deployment at Scale

In 8–16 weeks per facility, KMS and SAS deploy and integrate the worker safety solution, following best practices for deploying at scale while fine-tuning AI models for site-specific risks and operational workflows. Real-time dashboards, alerts, and reporting keep your team informed, while validated deployments create a repeatable blueprint for scaling safety across additional sites.

The Cost of Safety Gaps

Safety gaps can lead to costly incidents, regulatory penalties, and lost productivity. In many facilities, unsafe behaviors go undetected, near-misses aren’t reviewed systematically, and compliance lapses create risk—not only to your workers but to your operations and reputation.

Why Most Safety Programs Fall Short

Traditional safety programs often rely on manual observation, inconsistent reporting, or siloed systems. Without real-time monitoring, AI-driven insights, and scalable workflows, gaps remain, incidents go unaddressed, and safety culture struggles to take hold.

How it Works

KMS has partnered with SAS to develop Worker Safety, combining SAS’ advanced data analytics and AI with KMS Technology’s engineering and deployment expertise. Worker Safety continuously monitors worksites using AI-driven insights, computer vision, and historical data to identify risks and unsafe behaviors in real time.

At the heart of the solution is SAS Event Stream Processing (ESP) technology, which ingests streaming data from operations, transactions, sensors, IoT devices, and camera feeds. ESP leverages advanced analytics, machine learning, and AI to process both structured and unstructured data—including video, text, and images—enabling rapid detection of high-risk situations and timely safety interventions.

KMS +SAS Process Diagram

What You Get

Once validated, KMS and SAS guide operational deployment. Typical rollout timelines per facility range from 8 to 16 weeks, depending on cameras, zones, architecture, model mix, and workflow integration.

With a full deployment per facility, KMS and SAS deliver a comprehensive worker safety solution that is:

Deployed into your environment:

edge devices, cameras, sensors, SAS platform, networking, and security configured for your plant.

Integrated with existing systems:

OT/IT infrastructure (SCADA/MES), identity/notification systems, incident reporting, and data platforms.

Operationalized & scalable:

AI models tuned to site-specific behaviors, zones, PPE rules, and risk thresholds; workflows set for alerts, near-miss review, reporting, and KPIs; training for managers and safety teams; and a repeatable blueprint for additional sites.

What Success Looks Like

Success means:

Fewer incidents, faster interventions

Real-time monitoring and predictive alerts prevent accidents before they happen

Safer, more engaged workforce

Proactive culture reduces risk exposure and empowers employees to act safely

Aligned teams and priorities

Shared visibility across operations, safety, and management on risks, interventions, and compliance goals

Measured ROI and reduced risk

Safety initiatives phased and prioritized for maximum impact with minimal disruption

A future-ready foundation

Scalable, AI-enabled monitoring and insights that fuel continuous improvement and long-term safety performance

Why KMS

KMS combines deep expertise in AI-powered safety systems with practical customization experience. We don’t just implement technology—we operationalize it, train your teams, and create a blueprint that ensures safety improvements scale across your organization. Together with SAS, we turn safety data into actionable insights and a proactive safety culture.

A 3-week run window

from kickoff to final recommendation

Full analytics dashboard

access throughout the PoV

Live detection

on three unsafe behavior models out of the box.

Rapid model deployment

with minimal IT configuration, using 80% pre-built SAS components

Zero hardware or licensing costs

during the engagement

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