Where Does Your Business Stand?

Running a business is no small task. It begins rights from hiring the right talent and meeting deadlines to managing budgets and complying with regulations.

But when navigating the complexities of high-risk industries like construction, oil & gas, logistics, manufacturing, and mining, there’s one critical element that stands above the rest: Workplace Safety.

Suppose an EHS leader is managing a multi-site construction operation. One site reports frequent PPE violations. Another struggles with fatigue-related incidents during night shifts. And admits it, the safety officers are spread thin, audits are monthly, and data is scattered across spreadsheets and reports.

• How do you know which site needs immediate attention?

• Which zone is at the highest risk?

• And how do you compare your safety performance with others in your industry?

That’s where Safety Score, empowered by Artificial Intelligence (AI), comes in—the modern answer to understanding, managing, and improving workplace safety with data.

A Safety Score is a dynamic, AI-generated rating that reflects how safe a site, team, or organization is based on real-time inputs. Think of it like a credit score, but for safety.

Unlike other quantifiable metrics, the Safety Score can typically be measured on a scale from 0 to 100, where a higher score indicates better safety compliance, fewer incidents, and a lower risk environment.

One of the biggest challenges in industrial safety is the lack of standardised metrics. Different sites may use different tools, follow different procedures, and report data inconsistently. This results in a patchwork of reports that make cross-comparison nearly impossible.

 By offering a consistent, objective, and AI-driven metric, it allows businesses to:

• Benchmark performance across sites, regions, or teams.

• Identify workplace safety AI trends and prioritize intervention where needed.

• Align all stakeholders—Frontline workers, safety officers, operational heads, contractors—under a common safety language.

• Report to investors or regulators with quantifiable data.

In short, Safety Score becomes the north star for safety excellence in business.

As safety score deduction becomes automated and accurate with AI, here are 5 ways in which it strengthens a business more than one expects-

Once in a multi-tower construction site in Hong Kong, AI video analytics tracked helmet, vest, and boot compliance across 500 workers, immediately after its PPE detection AI module was activated.

Within the first month, the system logged 1,300 PPE violations—mostly during early morning and late evening shifts. These insights helped supervisors reschedule toolbox talks and fix entry checkpoints. The site’s Safety Score climbed from 72 to 89 within 45 days.

Unsafe behavior at work is often the root cause of incidents. But can an EHS leader predict the next move of a worker? No.

When handed over to AI, it makes the invisible visible, so risks are addressed early.

Behavioral AI models learn from previous behavioral inclinations, their activities, motion and posture patterns to flag risky conduct like distraction, violence, fatigue, or improper lifting.

These micro-behaviours are hard to catch during manual inspections, but can trigger major accidents if ignored.

At an underground mine in Australia, AI caught patterns of drowsy walking and distracted stair use among drill operators during late-night shifts. After a targeted intervention (adding breaks, fatigue training, and brighter lighting), behavioral flags dropped by 60%, and the Safety Score rose from 66 to 84.

AI breaks down large worksites into digital zones—each with its own Safety Score. These zones are evaluated based on detection frequency, worker density, task type, and environmental risks. These safety heatmaps then help prioritize mitigation efforts.

On an offshore rig in the Middle East, zone-based AI module detected high foot traffic near hazardous chemical tanks—an area supposed to be accessed only with permits. The Safety Score for that zone dropped to 62.

Within a week, enhanced access controls and real-time alerts were deployed. In the following quarter, unauthorized access fell by 89% and the zone’s score jumped to 90.

AI doesn’t just respond to safety incidents—it predicts them. By learning from historical incidents, near miss reporting, weather data, shift timing, and task complexity, AI systems forecast spikes in risk.

AI models in their centralized platform can analyze past trends, such as which shift hours have the highest violations or when the pedestrian walkways become busy.

In a European manufacturing plant, AI identified that double shifts on Fridays had a 2.5x higher incident probability. After adding task rotation, violations dropped by 48%, and the weekly Safety Score rose from 71 to 90.

AI-driven safety systems log every incident, near-miss, and safety observation in real-time. These automated logs form the basis for audit-ready reports that not only support compliance but also contribute to the Safety Score by ensuring transparent and traceable safety data.

Over time, this automated log generation eliminates the errors associated with manual recordkeeping and provides a structured, timestamped trail of all safety events. Safety teams can easily access and filter reports by type, location, or severity, which streamlines audits and regulatory compliance.

A global construction company operating across Southeast Asia was struggling to keep up with inconsistent safety performance across six ongoing projects. Traditional reporting methods weren’t enough—site audits came in late, and near misses weren’t always captured.

• Each site was assigned a Safety Score updated daily, based on real-time detections.

• Central dashboard access at both on and off-site allowed the EHS team to compare sites, zone by zone.

• High-risk teams were given extra briefings and retraining based on their Safety Score trends.

Here’s how the site-wise evaluation generated a status for each site.

 Safety Performance Dashboard – Q1 2025| Region: Southeast Asia | Sites Monitored: 6

• Company-wide Safety Score improved from an average of 66 to 87 in four months.

• Insurance premiums were renegotiated based on improved scores.

• Clients began requesting Safety Score reports during bidding and progress review meetings.

In the words of the firm’s EHS Director: “For the first time, safety became measurable, actionable, and accountable across the board. Safety Score changed how we lead.”

When optimised correctly, Safety Score becomes much more than a rating—it’s a real-time decision-making tool. It can help to drive contractor evaluation and selection, work as a guide for investment in safety infrastructure, align compliance reporting aligned and deploy accountability across departments.

It also encourages a safety-first culture with AI-driven mindsets. When workers know their behavior contributes to the site’s Safety Score, they’re more likely to follow protocols, self-correct errors, and take ownership of their environment.

In a world of increasing accountability, your Safety Score might just become your most important business metric.

You’re already close. viAct offers a comprehensive AI-powered video analytics platform that includes:

• Real-time Safety Score generation per site, team, or zone

• Customizable dashboards

• Audit-ready reporting

• Scalable deployment for single or multi-site operations

viAct is already using safety scores to standardise sites in Saudi Arabia,  Singapore, Hong Kong,  India, UAE,  Malaysia,  Australia,  Europe,  North America, while expanding rapidly across other regions.

Not at all. AI video analytics systems like viAct are designed to integrate seamlessly with your existing CCTV infrastructure using RTSP. Here’s a typical deployment roadmap:

Step-by-Step Integration Process:

• Assessment: viAct evaluates your site’s camera setup and risk zones.

• Configuration: 100+ AI modules are available for mapping to camera feeds

• Training: AI begins learning from your site-specific conditions.

• Dashboard Setup: Central dashboards are configured for real-time monitoring and score tracking.

• Go Live: Start receiving Safety Scores and automated reports within days, not weeks.

AI-based Safety Scores are built on continuous, objective, and evidence-based detection.

• Computer vision algorithms operate with 95%+ accuracy in detecting safety violations like missing PPE, fatigue symptoms, or unsafe proximity to equipment.

• The Safety Score is recalculated in real time using AI’s detections, ensuring the most recent site behavior is reflected.

• Detection thresholds can be customized to align with site-specific rules or regulatory standards.

This means you’re not relying on subjective reports or delayed audits. You’re working with real-world, real-time facts.

Yes, absolutely. Each industry and site has unique safety priorities. You can choose specific detection modules (e.g., PPE detection, fall prevention, behavioral analytics, etc.) Then assign weightages to different violations—e.g., missing helmets might have more impact than low-risk zone loitering. Finally, customize score thresholds based on corporate safety benchmarks or regional regulations.

For example, a mining company in Australia adjusted their scoring system to prioritize proximity to haul trucks, reducing incidents in just two months.

Privacy is a top priority, especially in AI-driven monitoring. At viAct, the approach is privacy-first:

• All detections are focused on behaviors, not identities.

• Face blurring technology is applied where applicable, ensuring anonymity in both live feeds and stored footage.

• No biometric data is stored or shared unless specifically agreed upon by the client.

In a government project in Singapore, viAct’s face-blur feature was implemented across over 100 cameras, enabling complete privacy compliance while continuing to monitor PPE violations and unsafe behaviors effectively.

Ready to monitor your site with an AI-powered, comprehensive Safety Score?