Open Edge Detection

Redefining Height Work Safety with CCTV enabled Open Edge Detection

From scaffolds to rooftops, viAct AI-powered Open Edge Detection transforms CCTV into a real-time safety system—detecting fall risks near unguarded edges and triggering instant alerts. With 24/7 monitoring, it empowers EHS teams to prevent accidents, ensure compliance, and protect lives across high-risk worksites.

Open Edge Detection for Construction and Other Jobsites

Open Edge Detection is a computer vision-based safety solution that automatically identifies unguarded edges or elevated fall-risk zones in real-time across dynamic job sites. From construction scaffolds and unfinished floor slabs to mezzanine levels in factories and rooftops in industrial plants, open edges pose a serious threat to worker safety—especially when they're temporary, unmarked, or easily overlooked.

Powered by viAct proprietary AI video analytics, the solution leverages standard CCTV or IP cameras to continuously scan for unsafe proximity to these high-risk zones. Unlike manual supervision, which is prone to human error and limited visibility, the system detects edge violations instantly and sends automated alerts to safety teams, ensuring rapid response and proactive fall hazard prevention.

With 24/7 monitoring, event logging, and seamless integration into existing safety systems, viAct’s AI-powered Open Edge Detection not only enhances site visibility but also helps EHS managers enforce fall protection compliance, minimize liabilities, and maintain a zero-incident safety culture across complex work environments.

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What Makes Edge Detection So Challenging on Job Sites?

Open-edge fall incidents remain a persistent challenge across high-risk industries like construction, manufacturing, and energy—even in sites that enforce safety protocols. It’s not due to a lack of awareness, but because open edges often shift as work progresses, and real-time oversight is difficult in dynamic environments with limited supervision and constant movement.

Common open edge safety lapses include:

● Temporary removal of guardrails during material handling or rework
● Workers accessing rooftop or mezzanine areas without fall arrest systems
● Improperly marked open floor slabs on construction sites
● Incomplete scaffolding or platforms lacking edge barriers
● Unsafe proximity to loading docks or lift shafts without active supervision
● Visual obstructions hiding edge drop-offs from camera or worker view
● EHS teams missing hazards during shift changes or late-night operations
● Lack of immediate alerts for unsafe behavior near open edges

What starts as a momentary lapse or site adjustment can rapidly escalate into a life-threatening fall hazard.

Even with training, site audits, and PPE enforcement, EHS teams often struggle to spot every edge-related risk in real time. Hazards go unnoticed between inspections especially in large, fast-paced sites where conditions evolve hourly. This is where CCTV enabled AI-powered Open Edge Detection turns passive CCTV into an active safety tool, enabling instant detection, alerts, and intervention.

Open Edge Detection with Video Analytics

Where Is Open Edge Detection Needed Most?

Open edge risks aren’t confined to one industry—they exist wherever elevation meets human activity. Whether temporary or permanent, these unprotected zones can quickly become life-threatening when left undetected in fast-paced, high-risk environments.

Construction Sites with Scaffolding or Exposed Floor Edges

Construction projects frequently involve high scaffolding, incomplete floors, and changing site layouts—creating numerous unguarded edge hazards. Open Edge Detection helps identify workers in unsafe proximity to these zones and delivers instant alerts to site supervisors, reducing the risk of falls and fatalities.

Warehouses with Elevated Storage or Catwalks

Logistics centers and warehouses with multi-level racking systems, catwalks, and platform lifts often face edge-related incidents during busy operations. The AI module continuously scans these areas, detecting when personnel approach open or poorly protected edges, and supports automated alerts and compliance logging.

Rooftop Maintenance and Elevated Service Areas

Rooftops used for HVAC servicing, solar installations, or general maintenance often lack fixed fall protection. Our AI system monitors open perimeters using existing IP/CCTV cameras and detects human presence near roof edges—especially valuable during temporary work setups and low-visibility conditions.

Industrial Plants with Mezzanines or Loading Docks

Manufacturing facilities often include elevated platforms, mezzanine floors, and loading dock areas, which are prone to temporary edge exposure. The AI detects any unsafe proximity or lack of edge protection and sends real-time notifications, helping EHS teams enforce safety compliance consistently across shifts.

Oil & Gas Rigs & Refineries or Remote Offshore Setups

In oil refineries, rigs, and processing plants, elevated zones and catwalks present critical safety risks—especially in remote or offshore setups. With Open Edge Detection, operators can remotely monitor edge zones 24/7, ensuring continuous protection in high-risk, hard-to-access environments.

How Does Computer Vision Monitor Open Edges?

Choose

Safety managers begin by selecting the "Open Edge Detection" AI module from viAct’s viHUB, a library of 100+ AI video analytics solutions. This module is designed to detect unguarded edges and unsafe proximity to elevated fall-risk zones across diverse job sites.

Open Edge Detection with Computer Vision

Connect

The selected AI module integrates effortlessly with existing camera infrastructure—whether it’s AI CCTV, AI-enabled cameras, or standard IP cameras—via RTSP protocol, eliminating the need for any additional hardware.

Capture

Once activated, the AI continuously analyzes live video feeds to monitor designated danger zones such as floor edges, scaffolds, rooftops, or unbarricaded platforms. It uses computer vision to detect:

● Presence of workers near edge zones
● Lack of guardrails or safety barriers
● Unsafe behavior like leaning over or working too close to edges

Control

If a potential fall risk or safety violation is detected, the system instantly sends alerts—both onsite (through alarms or light indicators) and offsite (via SMS, app, or dashboard). EHS teams can access a centralized dashboard with daily, weekly, and monthly reports, enabling data-driven decision-making and regulatory compliance.Top of Form

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Case Study: Singapore Construction Giant Prevents Over 150 Near-Misses Annually with Open Edge Detection by viAct

Industry :

Construction

Location :

Singapore

Module :

Open Edge Detection

The Problem:

A leading construction firm in Singapore, managing multiple high-rise residential and commercial projects, faced ongoing challenges in monitoring open edge zones such as scaffolding, rooftops, and partially completed floor slabs. Despite established safety protocols and routine audits, the firm reported near misses as the major issue with these sites—posing serious risks to worker safety and project timelines.

The Solution:

To address this, the firm implemented viAct AI-powered Open Edge Detection across its sites, using existing CCTV infrastructure. The system identified and alerted supervisors to unsafe proximity near unguarded edges in real time, reducing the dependency on manual oversight.

The viAct impAct:

● Within six months of deployment, the company recorded a 76% reduction in edge-related near misses and achieved zero fall-from-height incidents in the AI-monitored zones.
● This helped them align closely with the Ministry of Manpower (MOM) Singapore’s Workplace Safety and Health (WSH) 2028 strategy, which highlights protection from Fall from Height (FFH) with tech-driven safety measures.

Why Choose viAct Open Edge Detection Over Traditional Safety Methods?

Beyond just identifying fall risks, viAct delivers strategic, data-backed advantages that transform how EHS operates in complex environments:

Up to 60% less time spent on manual edge patrols, freeing up EHS teams for more proactive planning and training initiatives.

41% improvement in hazard prediction accuracy over time due to AI learning from site-specific movement patterns.

Reduction in safety response time by 68%, as alerts are triggered the moment unsafe proximity is detected—no radio calls, no delays.

Enhanced audit readiness, with 3x faster generation of incident reports for regulatory inspections or internal compliance reviews.

Behavioral correction through passive feedback—consistent AI alerts lead to improved worker awareness around high-risk zones without needing formal retraining.