
Why MOM Mandated Safety Audits Are Now Automated
Singapore’s Workplace Safety and Health (WSH) Act mandates regular safety audits to prevent workplace incidents. Under Ministry of Manpower (MOM) guidelines, employers must conduct systematic reviews of safety practices, especially in high-risk industries like construction, manufacturing, and logistics. Traditionally, these audits relied on manual inspections, paper logs, and periodic site visits — a process that is slow, inconsistent, and prone to human error.
With rising regulatory expectations and digital transformation across industries, MOM is increasingly pushing for automated, data-driven audit trails. The new standard? Real-time detection of safety hazards combined with machine-generated audit reports that are traceable, verifiable, and ready for submission during inspections.

How TensorVok AI Video Analytics Powers Compliance Automation
TensorVok AI Video Analytics is the only solution designed specifically to automate MOM mandated safety audit reporting. Unlike generic AI CCTV systems, TensorVok processes video at the edge — meaning sensitive footage never leaves your premises. This ensures full compliance with Singapore’s Personal Data Protection Act (PDPA) and data sovereignty requirements.
By integrating with existing IP cameras or CCTV systems via RTSP retrofit, TensorVok AI Video Analytics transforms legacy infrastructure into an intelligent safety monitoring system. It continuously analyzes live video streams to detect critical safety events in real time:
- PPE non-compliance: No helmet, vest, or goggles detected
- Restricted zone intrusion: Unauthorized access to hazardous areas
- Fire and smoke detection: Early warning before flames spread
- Crowding alerts: Overcrowding in confined spaces or near machinery
- Distracted activity: Workers using phones or ignoring safety protocols
Each detected event triggers an immediate alert and is logged with timestamp, location, and visual evidence. These logs are automatically compiled into structured MOM audit reports — complete with incident summaries, frequency trends, and corrective action recommendations. The result? A fully auditable, digital safety record that meets MOM’s standards without manual effort.

Key Features That Make It Work for Singapore Employers
TensorVok AI Video Analytics is calibrated for Singapore’s WSH framework and built for local compliance needs:
- RTSP Retrofit Compatibility: Works with any existing IP camera or analog-to-digital converter — no need to replace your entire surveillance system.
- Edge Processing: All AI analysis runs locally on-site. Your video data stays within your facility, meeting PDPA and data sovereignty rules.
- MOM Audit-Ready Output: Generates standardized reports aligned with MOM’s WSH audit checklist, including KPIs, violation heatmaps, and trend analysis.
- U.S.-Developed Algorithms, Locally Delivered: Powered by BrightVox LLC’s advanced AI models, delivered and supported in Singapore by Huafa Solutions — ensuring global accuracy with local responsiveness.
- White-Label & OEM Ready: System integrators and security vendors can rebrand TensorVok as their own solution, enabling scalable deployment across multiple sites.
- Deploy in Days, Not Months: From installation to first audit report, the entire setup takes under 7 days — ideal for urgent compliance deadlines.

Real-World Deployment: From CCTV to Audit-Ready Insights
A large construction firm in Jurong faced recurring MOM audit findings due to inconsistent PPE enforcement. They had 180+ cameras but no way to monitor them continuously. After deploying TensorVok AI Video Analytics across three major sites, they achieved:
- 94% reduction in PPE-related incidents within 6 weeks
- Automated MOM audit reports generated weekly — no more manual logbooks
- Real-time alerts reduced response time from hours to seconds
- Full audit trail available during MOM inspection — zero non-conformities
Another example: a warehouse operator in Pasir Ris used TensorVok to detect repeated unauthorized access to loading zones. The system flagged 37 incidents over one month, leading to revised access controls and staff training — all documented in a single, compliant report.
These cases show that automation isn’t just about efficiency — it’s about accountability, consistency, and proactive risk management.


