Alliad Cuts PPE Deviations by 41.7% in Just 3 Months with viAct AI-Powered PPE Detection
A major hospital healthcare construction project in Côte d'Ivoire, was committed to maintaining the highest safety standards across its large, remote site. With a growing workforce and multiple ongoing activities, the project team wanted greater real-time visibility of safety conditions to support proactive decision-making. By deploying viAct's AI-powered video analytics across existing cameras, Alliad strengthened site-wide safety oversight through automated monitoring of PPE compliance, restricted-area intrusion, and fire and smoke risks, helping the team respond faster and further enhance workplace safety.
41.7% Reduction in PPE Non-compliances
through continuous AI-powered PPE monitoring in the first three months.
46.3% Reduction in Danger Zone Intrusions
through automated detection of unsafe zone entry in just 3 months.
100% Continuous Fire & Smoke Coverage
through real-time AI-powered fire and smoke detection.
Company Overview
Alliad, earlier GCC Services, is a global leader in integrated services, specializing in engineering & construction, supply chain & logistics, facilities management, and support services. With a strong focus on emerging markets, particularly in Africa, Alliad combines international expertise with local knowledge to deliver comprehensive solutions that drive economic growth and improve quality of life.
Story Snapshot
Operating across a large, remote construction site with limited connectivity, Alliad sought to enhance real-time safety visibility throughout the project lifecycle. Deploying viAct's AI-powered PPE detection, danger-zone intrusion monitoring, and fire & smoke detection across existing cameras, the team gained continuous site-wide oversight, enabling faster risk identification, strengthening safety reporting, and supporting safer working environment for the workforce.
Industry:
Construction
Location:
West Africa
Use Case:
PPE , Danger Zone
The Challenge
Achieving Enhanced Safety Visibility Across a Remote Project Environment
The healthcare construction site is located in a remote region of Côte d'Ivoire with limited fixed telecommunications infrastructure. Camera connectivity relied primarily on mobile data networks rather than fibre connections, requiring an innovative approach to establish reliable access for centralised monitoring and analytics.
Alongside these technical considerations, the project team sought to strengthen real-time visibility across a large and active construction environment within a compressed delivery schedule. With multiple work fronts and a significant workforce operating across the site, maintaining consistent oversight of PPE compliance and potential safety risks was a priority.
The project's accelerated construction programme also required a solution capable of delivering value quickly. Rather than implementing a lengthy technology rollout, Alliad sought an approach that could leverage existing site infrastructure while providing immediate insights to support ongoing safety and operational management.
This combination of remote-site connectivity challenges, a fast-paced delivery schedule, and the need for enhanced real-time visibility created an opportunity to deploy AI-powered monitoring that complemented existing safety processes and strengthened site-wide oversight.
"Maintaining visibility across a busy project site is always a challenge. viAct provided an additional layer of real-time monitoring that helped our teams identify potential compliance issues sooner and support our ongoing commitment to high safety standards."
Mounir Ziani
Head of QHSE, Engineering & Construction Division
The Solution
Multi-Module viAct Deployment for Continuous Site Monitoring
Alliad deployed viAct AI-powered video analytics across its existing cameras at the Tiassalé
"One of the objectives of this pilot was to make better use of our existing camera infrastructure. Working with viAct allowed us to turn that visibility into more actionable insights, supporting faster responses and informed operational decision-making," said AbdulAziz Al-Enizi, IT Manager, Business Solutions & Projects.
AI-Powered PPE Detection Across Four Critical Safety Requirements
viAct monitored workers continuously for safety helmet, jacket/vest, safety shoe, and safety glove compliance across the site, generating a live compliance record across all connected cameras that complemented existing site supervision and safety processes.
By providing ongoing visibility across the construction environment, the four PPE modules enabled the safety team to identify areas requiring attention more quickly and consistently. This additional layer of monitoring supported timely intervention, reinforced safety standards, and helped maintain high levels of PPE compliance across the site.
Danger-Zone Intrusion and Fire & Smoke Detection for Site-Wide Hazard Coverage
The same camera infrastructure was configured to identify entry into restricted or hazardous areas, as well as potential fire and smoke conditions, without requiring additional hardware or continuous physical supervision across every work area.
Working alongside existing site safety procedures, continuous AI monitoring expanded real-time visibility across the project. By providing early awareness of potential site hazards, the solution supported faster decision-making and strengthened overall site safety oversight, extending viAct's role beyond PPE compliance to broader risk monitoring.
The Impact
From Unreported Deviations to Continuous, Auditable Safety Coverage
PPE deviations declined 41.7% within three months, and danger-zone intrusions fell 46.3% over the same period, as workers and supervisors adjusted to continuous monitoring rather than periodic checks. Fire and smoke detection ran across all cameras from day one, giving the site continuous coverage against a hazard that previously depended on someone being present to notice it.
The Tiassalé deployment also served as a validation point for Alliad's wider portfolio. With 10-20 concurrent sites, a successful pilot with viAct here gives Alliad a repeatable model it can extend to future sites without relying on manual observation to carry the load at each one.
"We're always looking for ways to apply technology that delivers real operational value. Through this pilot with viAct, we were able to explore how AI-driven monitoring can enhance visibility and support more proactive decision-making,"
Adam Lalani
Chief Technology Officer