Half Yearly Report 2025: Top 5 Workplace Safety AI Trends in Singapore

Shoyab Ali
2 minutes ago
6 min read

As 2025 unfolds, Artificial Intelligence (AI) continues to redefine the standards of workplace safety across industries worldwide. Nowhere is this more apparent than in Singapore, where safety regulators, industry leaders, and technology innovators are pushing boundaries to foster safer, smarter work environments.

The first half of 2025 has seen accelerated adoption of Workplace Safety AI solutions, with AI not only observing and recording but also predicting, preventing, and protecting.

Workplace Safety and Health (WSH) initiatives by Singapore’s Ministry of Manpower (MoM), along with transformation guidelines from the Building and Construction Authority (BCA), have emphasized the adoption of AI to enhance on-site safety.

These efforts aim to uphold Singapore’s global reputation as a top-performing nation in workplace safety, reflected in its low fatality rate of just 1.2 per 100,000 workers in 2024.

Let us uncover how current safety trends are setting the stage for what’s next!

Workplace Safety AI Trends in Singapore: Shaping a Predictive Future in 2025

The first half of 2025 marks a decisive shift in how heavy industries in Singapore approach health and safety, from traditional compliance to intelligent, AI-driven strategies. No longer limited to mere observation, workplace Safety AI now plays a central role in predicting hazards, preventing incidents, and protecting lives across dynamic work environments.

By integrating computer vision, IoT, and predictive analytics, safety systems are becoming smarter and more proactive. These innovations are reshaping day-to-day safety operations, enabling real-time decision-making, automated interventions, and data-backed safety planning.

The road ahead is clear – using Workplace Safety AI to advance the way for safer worksites.

Highlighting Top 5 Workplace Safety AI Trends in Singapore in 2025

As we gear up for more advancements in the second half of the year, let’s unpack the top 5 workplace safety AI trends in Singapore that are making an impact.

1. Vehicular Safety Technology (VST)

With industrial zones, warehouses, and construction sites bustling with forklifts, heavy-duty vehicles, and delivery trucks, vehicular accidents remain a key concern. According to the WSH Institute, vehicle-related incidents ranked as one of the top causes of fatalities and injuries in Singapore in 2024.

AI-powered in-cabin safety dashboard on a construction site

To address this, AI-powered Vehicular Safety Technology (VST) is emerging as a powerful line of defence. The modern vehicle inspection system combines computer vision, predictive analytics, and IoT sensors to create safer driving environments and reduce human error.

AI Feature	Use Case	Impact on Workplace Safety
Computer Vision	Real-time vehicle-pedestrian detection	Alerts when workers are in vehicle blind spots to avoid runovers
Predictive Analytics	Fatigue detection for drivers	Prevents microsleep, drowsy driving, and related accidents
Geo-Fencing	Danger zone enforcement	Creates a dynamic danger zone around vehicle operation areas
Proximity Sensors	Worker-vehicle proximity alerts	Warns operators and workers when too close to moving machinery
AI-Powered Anti-Collision Systems	Dynamic object recognition	Automatically slows or stops vehicles to prevent impact
Telematics with AI	Driving behavior monitoring	Tracks speed, sharp turns, and erratic driving to improve discipline
Thermal Vision AI	Low visibility obstacle detection	Enables safer navigation in tunnels, during night or haze
Route Optimization AI	Smart path planning for site vehicles	Minimizes traffic, avoids high-risk zones, and boosts efficiency

A logistics company in Jurong implemented AI-powered in-cabin displays that notify the operators based on their driving patterns, proximity with pedestrians and can even detect fatigue. The system sends real-time alerts to both drivers and site managers, resulting in a 28% drop in near-miss incidents in just 3 months.

2. Video Surveillance Systems (VSS)

Gone are the days of passive CCTV cameras. In 2025, AI-integrated video surveillance systems (VSS) are transforming workplace safety from reactive to proactive. The integration of computer vision and AI video analytics makes the surveillance systems more accurate and instant.

Further as per WSH requirements, every construction site in Singapore with a contract value of $5 million is mandated with the instalment of VSS for better surveillance.

The key capabilities include:

PPE Detection to ensure workers wear helmets, gloves, and safety vests.
Fall Detection for immediate alerts in case of slips, missing barricades or collapses.
Fire & Smoke Detection to identify early signs of smoke or flames before traditional alarms are triggered.
Slip Hazard Detection for recognizing liquid spills or scattered objects in real-time to prevent slip-and-fall accidents.
Crowd Density Monitoring with alerts when too many workers gather in a confined or dangerous area, ensuring social distancing and evacuation readiness.

A construction site in Punggol used the visionary vigilance of an AI video surveillance system. The system not only flagged PPE non-compliance in real time but also generated automated reports to share with site supervisors. This helped achieve 100% compliance within 6 weeks.

3. Ergonomic Assessments

Ergonomics Assessments — Ergonomics Risk Assessments (REBA-RULA)

Work-Related Musculoskeletal disorders (WRMSD) account for a large number of non-fatal workplace injuries, particularly in manufacturing and logistics. To address this, Singaporean companies are embracing AI-driven ergonomic assessments to analyze postures, bending, squatting, lifting patterns, and repetitive motions.

Here are some AI-Driven Ergonomic Safety Features:

Real-time posture evaluation through computer vision
RULA and REBA assessments for risk scoring
Motion analysis for repetitive strain detection
Automated alerts for improper lifting or bending
Historical data for redesigning workflows and training

A leading electronics firm in Ang Mo Kio used AI-powered REBA and RULA assessments to track worker posture on the assembly line. The application helped cut down back-related injuries by 40%.

The focus on AI-powered ergonomic interventions aligns with the focus of the Ministry of Manpower on Total Workplace Safety and Health (Total WSH), especially with concerns over the 2024 occupational disease incidence rate of 24.4 per 100,000 workers.

4. Behaviour-Based Safety (BBS)

Traditional Behaviour Based Safety (BBS) programs rely on manual observations and behavioral checklists. But in 2025, AI-enhanced behaviour based safety software is reshaping how companies understand and influence worker actions.

AI Applications in BBS

Behavior Categorization: Detects unsafe acts like running, jumping, or improper equipment use.
Custom Rules & Alerts: Flags behaviors like mobile use or zone violations in real-time.
Pattern Detection: Tracks repeated breaches and potential conflict indicators.
Risk Prevention: Reconstructs unsafe scenarios to prevent future incidents.
Predictive Coaching: Suggests training and actions based on behavior trends.

Organizations can now proactively mitigate behavioral risks, automate safety interventions, and tailor training programs to specific worker needs, creating a culture of continuous safety.

5. IoT Integration

The convergence of AI and the Internet of Things (IoT) is arguably the most transformative trend in workplace safety. This powerful combination enables real-time risk detection, environmental monitoring, and predictive insights.

Here are some of the trending IoT devices which mark the beginning of an era of AIoT in workplace safety.

IoT Sensor/Device	AI Function	Safety Benefit
Gas & Air Quality Sensors	AI flags threshold breaches	Prevents respiratory hazards
Proximity Sensors	Predicts collisions via AI modelling	Reduces machinery and vehicle accidents
Vibration Sensors	Detects abnormal machine behavior	Prevents equipment failure and operator injury
Smart Helmets	Monitors head impact, fatigue, & location	Detects fatigue, impact, and ensures zone safety
Smart Watches	Tracks vitals (heart rate, temperature & movement)	Detects fatigue, falls, or medical emergencies
Weather Stations	AI forecasts site-specific risks	Prevents heat stress, slips, and poor visibility risks
Wearable Motion Sensors	Analyzes posture and ergonomics	Reduces musculoskeletal injuries
Thermal Sensors	Detects heat zones in real-time	Prevents heatstroke and burns

A semiconductor manufacturing plant in Yishun implemented a smart AIoT platform for cleanroom safety. The system continuously monitored air pressure, chemical exposure, and sound levels. When the AI noticed a correlation between high VOC exposure and technician absenteeism, it triggered investigations that led to a 50% improvement in worker health outcomes.

Future of Workplace Safety AI Trends in Singapore: Where Safety First is the Vision

Singapore’s forward-thinking approach to technology and safety regulation is shaping a global blueprint for AI-enhanced workplace environments. These 2025 trends make it clear—AI is no longer a peripheral tool but a core driver of safety, compliance, and worker well-being.

Backed by the Workplace Safety and Health (WSH) 2028 strategy and strong government-industry collaboration, Singapore is steadily progressing toward its goal of having one of the lowest workplace fatality rates globally. From video surveillance systems (VSS) to vehicular safety tech (VST), AI is being embedded into daily workflows, policy frameworks, and safety design.

Importantly, the mindset around workplace safety is shifting from reactive compliance to proactive, real-time risk mitigation powered by predictive AI and Generative AI.

The remainder of 2025 is expected to see a surge in AI adoption across high-risk sectors, dynamic safety planning tools powered by LLMs, and the rollout of MOM’s tech ethics charter for stronger AI governance.

As cross-sector pilot programs expand and more companies embrace AI-powered safety culture, Singapore is firmly positioned to lead the world into a new era of smarter, safer, and more sustainable workplaces.

Quick FAQs

1. What are the key Workplace Safety AI Trends in Singapore driving safer industrial sites in 2025?

Workplace safety trends like Vehicular Safety Technology (VST) with AI-powered vehicle detection and fatigue monitoring in operators is reducing accidents significantly. Further, video surveillance systems (VSS) in sites ensure PPE compliance and hazard detection in real time, making worksites safer and smarter.

2. How are safety AI trends in Singapore workplaces improving incident prevention and response?

With predictive analytics such as using Behaviour-Based Safety (BBS) systems help detect unsafe actions and predict risks to guide timely interventions. The use of IoT devices to monitor environmental and health parameters continuously, enables proactive safety management.

3. Can worker occupational illness conditions be reduced by one of the above AI trends for workplace safety in Singapore?

Yes. The AI-driven ergonomic assessments which are a part of these trends use posture analysis and risk scoring to reduce musculoskeletal injuries. This trend helps companies redesign workflows and lower injury rates through real-time alerts and data-driven insights.

4. Do the top 5 Singapore’s AI Trends in workplace safety support regulatory compliance?

VSS systems automate surveillance to ensure PPE and safety protocol adherence, aligned with Ministry of Manpower mandates. Meanwhile, BBS software fosters a culture of continuous safety by offering predictive coaching based on behavioral data.

5. How is Singapore’s AI in Workplace Safety Trends enhancing its overall safety management?

The integration of AI-powered systems enables real-time monitoring and predictive insights, helping industries prevent incidents before they occur. Solutions like viAct’s AI modules fulfils the trends and helps in smarter decision-making by automating safety protocols and driving a stronger culture of continuous safety improvement.

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