Singapore has quietly become one of the most influential AI innovation hubs in the world.

As per the latest statistics from the Ministry of Manpower, the first half of 2025 recorded a workplace fatality rate of 0.92 per 100,000 workers, making it one of the safest places to work globally. The highest contributors to workplace fatality include the construction sector (25%) and manufacturing (18%).

For EHS leaders, this shift is happening at exactly the right time. Industrial projects are growing larger, supply chains are more complex, and workforces are increasingly mobile. Computer vision is now helping organizations monitor sites continuously, detect risks early, and transform safety into a measurable business function.

Singapore is home to several companies actively shaping this transformation.

Below are five of the top computer vision firms in Singapore, with particular relevance for workplace safety and industrial environments.

Among the best Computer Vision AI Startups in Singapore, viAct stands out for its strong focus on workplace safety, operational efficiency, and compliance across high-risk industries.

Many computer vision platforms originated from security or retail analytics. viAct, however, was built specifically for industrial environments, including construction sites, manufacturing plants, oil & gas facilities, and mining environments, which gives it a strong advantage for EHS leaders looking for real-world deployment rather than experimental AI.

Its technology is designed to transform safety from periodic inspections into a real-time and predictive system. Instead of relying on incident reports, organizations gain continuous visibility into risk across sites.

viAct computer vision capabilities are built on advanced vision models trained on real industrial scenarios, including:

These capabilities turn existing CCTV infrastructure into a 24/7 automated safety monitoring network.

The shift from reactive safety to proactive safety is where viAct delivers measurable value. Continuous monitoring allows EHS teams to detect hazards as they develop rather than after incidents occur. This allows organizations to track leading indicators, which are increasingly becoming the focus of modern safety management.

• Real-time hazard detection from existing cameras

• Scalable monitoring across multiple sites

• Edge deployment for low-latency and privacy-sensitive operations

• Automated visual safety analytics and reporting

• Continuous monitoring without increasing manpower

The strong specialization of viAct in industrial computer vision makes it one of the most prominent workplace safety-focused AI companies operating in Singapore.

SixSense falls under the list of Top Computer Vision Companies in Singapore and has carved out a strong reputation in the semiconductor and advanced manufacturing industries.

The AI startup focuses on applying computer vision to highly controlled production environments where precision and quality are critical. For example, in semiconductor manufacturing, even microscopic defects can cause significant losses. This can impact productivity losses and impact on project timelines, thereby making automated visual inspection essential.

SixSense uses deep learning vision systems to monitor production processes and detect anomalies in real time. This reduces reliance on manual inspection, improves yield, and minimizes downtime.

Its AI-ADC for automated defect classification at line makes use of real-time vision, which makes a detailed analogy of the captured image and classifies the defects into a hundred different types.

While primarily focused on quality, this work has a strong safety connection. Reducing equipment failures and process deviations directly reduces worker exposure to hazardous conditions.

• Automated defect detection

• Root Cause Analysis

• Predictive process monitoring

• Production analytics dashboards

• Integration with manufacturing systems

SixSense plays a vital role in Singapore’s advanced manufacturing ecosystem.

Graymatics, a cognitive analytics platform, has developed a scalable computer vision platform focused on real-time video analytics across large camera networks. The system processes images and video feeds to detect behaviours, anomalies, and safety risks, transforming existing CCTV infrastructure into intelligent monitoring systems.

The company operates across multiple industries, including infrastructure, transportation, industrial facilities, and smart city environments. Its ability to analyze large volumes of video data at scale makes it particularly suitable for organizations managing multiple locations or large facilities.

Graymatics helps organizations shift from passive surveillance to proactive monitoring. Instead of reviewing footage after incidents occur, safety and operations teams gain real-time visibility into risks across facilities. Its Urban Vision solution is designed specifically for smart cities that looks into infrastructure management and delivering smart public services.

Their SiteInsights help managers to keep track of safety and security, often covering blind spots that human surveillance misses. The SmartPort feature deals with vehicle safety, illegal parking and access management across busy ports.

• Large-scale video analytics deployment

• Real-time monitoring across multiple locations

• Strong experience in infrastructure and industrial environments

• Integration with existing CCTV systems

• Scalable enterprise-grade analytics

Graymatics remains a key player in Singapore’s broader computer vision ecosystem.

ST Engineering combines artificial intelligence, hardware engineering, and video analytics to deploy computer vision across complex infrastructure environments. Its solutions often integrate with sensors, surveillance systems, and operational platforms to create large-scale monitoring networks.

The company focuses on smart cities, transportation systems, and industrial infrastructure, where reliability and scalability are essential. Its deployments often operate in mission-critical environments that require high levels of accuracy and resilience.

By applying computer vision across infrastructure and industrial facilities, ST Engineering enhances situational awareness and supports safer operations. Its technology helps organizations monitor activity across large areas while improving response times to potential incidents.

The AGIL Vision intelligence uses Generative AI combined with machine learning to analyse video streams with accuracy and pinpoint important information.

The platform supports automated incident detection, perimeter monitoring, and facility surveillance, helping organizations maintain safety and operational visibility across complex environments.

• Smart surveillance with video analytics

• Industrial facility monitoring

• Automated incident detection

• Infrastructure and perimeter monitoring

• Smart mobility and transport analytics

ST Engineering brings enterprise scale and engineering depth to the computer vision landscape.

KABAM Robotics, headquartered in Singapore, integrates computer vision into autonomous robots designed for monitoring and inspection. Instead of relying only on fixed cameras, its solutions use mobile robots equipped with vision systems that can navigate industrial and commercial environments independently.

The company focuses on facility monitoring environments where mobile inspection and continuous coverage are valuable. This approach allows computer vision to extend beyond static surveillance and into autonomous safety patrols.

By combining robotics with computer vision, KABAM enables organizations to automate routine patrols and facility inspections. This helps reduce reliance on manual monitoring while increasing coverage and consistency.

Its AI-based threat identification and response mechanism helps analyse a vast amount of data. Its systems support autonomous navigation, unusual behaviour and hazard detection, facility inspection, and real-time visual monitoring, demonstrating how computer vision is expanding into robotics-driven safety applications.

• Mobile and autonomous monitoring

• Robotics-driven safety inspections

• Extended coverage across large facilities

• Reduced reliance on manual patrols

• Integration of robotics with AI vision

KABAM Robotics highlights how computer vision is expanding beyond cameras into autonomous monitoring systems.

• Computer vision is becoming a core pillar of modern workplace safety as organizations are moving toward real-time monitoring and predictive risk management powered by AI.

• Singapore has emerged as a strong hub for industrial computer vision innovation, with the ecosystem spanning over workplace safety, manufacturing quality, infrastructure monitoring, and robotics-driven inspections.

• Workplace safety is shifting to leading indicators with continuous monitoring of behaviours, environments, and processes.

• Existing camera infrastructure is turning into intelligent safety networks. Instead of investing in entirely new hardware, many solutions unlock value from current CCTV systems through advanced video analytics.

• Computer vision is no longer limited to fixed surveillance; the integration of robotics, edge AI, and large-scale analytics is expanding safety coverage across mobile operations, large facilities, and multi-site enterprises.

• Different companies solve different layers of the safety and operations puzzle. From frontline worker protection to defect detection, infrastructure monitoring, and autonomous inspections, the combined ecosystem creates a multi-layered safety strategy.

The future of safety is proactive, automated, and data-driven. Organizations that adopt computer vision today position themselves to improve compliance, reduce incidents, and scale safety across operations more effectively.

Yes. Modern platforms support centralized dashboards that allow EHS leaders to monitor multiple sites from one interface and compare safety performance across projects.

In most cases, yes. Modern computer vision platforms like viAct are designed to work with existing CCTV infrastructure. After a compatibility check and configuration, your current cameras can become AI-enabled safety sensors without replacing hardware.

• Site and region safety heatmaps

• Trend analysis and KPI tracking

• Incident timelines and reports

• Multi-site comparison views

By making risks visible and measurable, it encourages proactive behaviour, accountability, and data-driven safety discussions across teams.

Typical challenges include change management, training teams, and integrating with existing workflows. A phased rollout helps organizations adapt smoothly.

–  viAct is the leading Impact AI company enhancing safety in high-risk industries for a sustainable future.