How Flagman Fits in Facility Management: The Machine Learning Safety Platform NSW Facilities Need to Know About
Wed, 10 Jun 2026
Facility management has always included safety as a core responsibility. However, traditional safety systems have struggled to keep up with the increasing complexity of modern industrial and commercial environments. Manual inspections, physical barriers and periodic audits remain important, but they no longer provide complete visibility into the risks developing across facilities in real time.
Flagman.ai is a machine learning safety and process intelligence platform designed to bridge this gap. By combining computer vision with edge AI hardware, it continuously monitors people, equipment and operational processes to identify hazards before incidents occur.
In Australia, Flagman.ai is distributed exclusively by Sharktech Global, and TWS Service & Solutions is the first authorised channel partner in New South Wales. For NSW facility operators seeking to implement Flagman.ai, TWS Service & Solutions provides the complete deployment and support solution.
The Safety Monitoring Gap in Modern Facilities
Most facilities already operate with surveillance cameras, access controls, proximity sensors and documented procedures. While these systems capture information and assist investigations after incidents, they generally cannot interpret context or predict emerging risks.
A camera records footage but cannot determine whether a forklift and pedestrian are on a collision path. Access systems verify entry but cannot identify missing PPE. Safety procedures exist, but they cannot automatically confirm whether every step has been followed correctly.
Flagman.ai introduces a predictive machine learning layer that identifies risks as they develop, transforming safety from reactive reporting into proactive prevention.
How Flagman.ai Machine Learning Works
Flagman.ai uses trained computer vision models to analyse live video feeds and detect people, equipment, hazards and unsafe behaviours. The processing occurs entirely on dedicated edge AI hardware installed within the facility.
Unlike cloud-dependent systems, Flagman.ai operates locally with no internet requirement. This makes it suitable for remote sites, critical infrastructure and high-security environments where uninterrupted safety monitoring is essential.
The modular architecture allows organisations to deploy targeted safety applications based on their highest-priority risks and expand coverage over time.
Flagman Edge AI Hardware Portfolio
FLAGMAN PRIME and V1.0
These enterprise-grade edge AI devices support multiple machine learning models simultaneously. Connected to existing IP camera networks, they can monitor PPE compliance, forklift safety, restricted zones and fire detection across several areas using a single platform.
FLAGMAN NEO
FLAGMAN NEO integrates camera, computing power and machine learning capabilities into a single rugged device. It requires no internet connection and is ideal for confined spaces, remote environments and high-risk single-zone deployments.
FLAGMAN CORE
Designed for scalable deployments, FLAGMAN CORE enables organisations to extend machine learning safety monitoring across multiple operational areas while maintaining consistent detection performance.
FLAGMAN FORTIS
FORTIS is engineered for harsh industrial conditions including mining operations, chemical processing facilities and exposed outdoor environments where standard equipment may not withstand operational demands.
Every Flagman device performs machine learning inference locally without cloud dependency, ensuring uninterrupted operation during connectivity failures.
What Flagman.ai Monitors Across NSW Facilities
- PPE compliance including helmets, high-visibility clothing, gloves and safety eyewear
- Forklift and pedestrian proximity monitoring
- EOT and gantry crane danger zone protection
- Wind turbine nacelle worker safety monitoring
- Fire and smoke visual detection
- Conveyor safety and operational anomaly detection
- Lockout and Tagout (LOTO) procedure verification
- Restricted zone and access control compliance
PPE Compliance Detection
Machine learning models continuously verify whether workers entering monitored areas are wearing required protective equipment. Alerts can be triggered instantly when non-compliance is detected, while timestamped records provide objective evidence for compliance reporting and audits.
Forklift and Pedestrian Safety
Forklift incidents remain one of the most serious hazards in industrial environments. Flagman.ai establishes dynamic exclusion zones around moving equipment and alerts operators and supervisors when pedestrians enter unsafe distances.
Unlike static barriers and floor markings, the system adapts to actual movement patterns occurring in real time.
Crane Safety Monitoring
Machine learning continuously monitors overhead crane operating areas, detecting personnel entering danger zones and issuing alerts before incidents occur. This capability is particularly valuable in heavy engineering, manufacturing and critical infrastructure environments.
Fire and Smoke Detection
Visual machine learning models identify smoke and fire signatures before traditional detectors may activate, delivering earlier warnings in large open spaces, high-ceiling environments and challenging facility layouts.
LOTO Procedure Verification
Flagman.ai verifies whether lockout and tagout procedures have been executed correctly, generating objective records that support compliance and reduce reliance on manual supervision and self-reporting.
Integration with Facility Management Operations
Flagman.ai integrates with existing operational systems including CMMS, SCADA, BMS and energy management platforms.
Safety alerts can automatically generate maintenance work orders, update compliance registers, notify supervisors and retain supporting evidence without introducing additional administrative burden.
TWS Service & Solutions manages the integration process to ensure the machine learning data aligns with existing workflows and reporting structures.
The Commercial Structure Explained
Flagman.ai is the industrial machine learning safety platform.
Sharktech Global is the exclusive Australian distributor responsible for introducing the technology to the Australian market.
TWS Service & Solutions is the first authorised channel partner in New South Wales and provides end-to-end delivery including site assessments, system design, hardware supply, installation, integration, commissioning and ongoing support.
NSW facility operators engage directly with TWS Service & Solutions as their single point of accountability for Flagman.ai deployments.
Frequently Asked Questions
What is Flagman.ai?
Flagman.ai is an industrial safety and process intelligence platform that uses machine learning and computer vision to monitor workplace hazards and compliance in real time.
Does Flagman.ai require internet access?
No. All machine learning processing occurs locally on edge AI devices installed within the facility, allowing the system to function even during network outages.
Who installs Flagman.ai in NSW?
TWS Service & Solutions is the first authorised channel partner of Sharktech Global in New South Wales and manages the complete implementation process.
What hazards can Flagman.ai detect?
The platform monitors PPE compliance, forklift interactions, crane safety zones, fire and smoke development, LOTO procedures, conveyor hazards and restricted access violations.
Can Flagman.ai integrate with existing systems?
Yes. It integrates with facility management and operational systems including CMMS, SCADA and BMS platforms to streamline reporting and response workflows.
Arrange a Flagman.ai Site Assessment
TWS Service & Solutions offers no-obligation Flagman.ai site assessments for NSW organisations. The assessment identifies safety improvement opportunities, recommends suitable hardware configurations and provides a deployment roadmap aligned with operational requirements.
Whether you manage warehouses, manufacturing facilities, commercial properties or critical infrastructure assets, TWS Service & Solutions can design a machine learning safety program tailored to your facility's specific risks and compliance obligations.