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viAct

AI computer-vision safety and site monitoring built on existing CCTV

viAct is a computer-vision AI platform that analyzes live video from existing CCTV, IoT, and wearable devices to monitor construction and industrial sites for safety and operational conditions. It ships as a library of scenario-based detection modules (PPE, danger zone, scaffolding, proximity, and others) surfaced through the viHUB dashboard for HSE teams, project managers, and site supervisors.

Growth Stage
Website →← All Tools

Why This Tool Exists

The Problem

Manual visual safety supervision on construction and industrial sites is labor-intensive, inconsistent across shifts, and often catches hazards only after an incident, leaving HSE teams reliant on periodic walkthroughs and after-the-fact CCTV review.

The Solution

viAct applies scenario-based computer-vision AI to existing camera feeds to detect specific hazard and compliance conditions in real time, sending alerts and logging events so HSE and project teams can intervene during, rather than after, a violation.

How You Use It

Delivery Method
Cloud dashboard (viHUB)Edge devicePlug-and-play integration with existing CCTV/IP cameras
Integrations
Existing CCTV/IP cameras (RTSP)Permit-to-work systemsviHUB dashboardIoT wearables (smart helmet, smart watch)
Project Phases
Construction Administration, Construction
Project Types
Commercial, Industrial, Infrastructure

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Live video feed from existing CCTV or IP cameras, Site zone/scenario configuration (e.g., PPE rules, danger-zone boundaries)
Optional:IoT wearable data (smart helmet, smart watch), Drone or edge-device video feeds, QR-coded equipment tags (e.g., scaffold tags)
Formats:RTSP video streams, Existing camera infrastructure (no replacement required)
Output
What you get
Format:Real-time alerts, dashboard analytics, and compliance/audit logs
Fields:Real-time hazard/violation alerts, Dashboard analytics and heatmaps, Automated inspection and audit reports, Event logs with annotated image captures
Algorithm
How it works
Model:Proprietary scenario-based computer-vision AI operating on existing video feeds
Accuracy:Vendor markets outcome figures (e.g., accident and manpower-cost reduction) on its marketing pages; these are vendor-stated claims, not independently verified, and are not reproduced here as fact.
Privacy
How your data is protected
Retention:Not publicly specified in reviewed viAct sources; verify current data-retention terms before production use.
Training:Not publicly specified in reviewed viAct sources; verify current terms before use with site video data.
Compliance:Vendor states a 'Privacy by Design Approach' on its site; project-specific compliance terms require direct vendor verification
API
Integration
Endpoint:No public viAct developer API documentation found in reviewed sources
Method:Not publicly documented

Use Cases

  • ·Real-time PPE compliance detection from existing CCTV
  • ·Danger-zone and perimeter intrusion alerts
  • ·Scaffolding safety monitoring from erection through dismantling
  • ·Machinery and worker proximity/near-miss detection

Pricing

Free
Not publicly specified in reviewed sources; verify current terms with vendor.
Enterprise
Contact vendor; no public self-serve pricing page found in reviewed sources.
Website →
Research Sources & Data QualityLast verified: 2026-08-24
Verified Data (4)
viAct is a computer-vision AI platform for construction/industrial safety monitoring built on existing CCTV, Product suite includes viHUB dashboard, scenario-based detection modules, IoT wearables, and edge/drone hardware, Scaffolding safety and proximity-detection solution pages document inputs, outputs, users, and workflow behavior, viAct operates an Agent Partner Program (referral, tiered by annual approved-application volume) and a separate Channel Partner Program (referral/reseller, no sign-up fee or minimum sales requirement)
Not Found (5)
Public commission percentages or payout amounts for either partner program, Public pricing (self-serve tiers or plan pricing), Public developer API documentation, Public data retention, training-use, and hosting-region details, Independent verification of vendor-stated outcome figures (e.g., accident-reduction percentages)
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.