Building Safer Workplaces Through Visual Intelligence
Wivex combines computer vision expertise with deep understanding of workplace safety requirements to deliver monitoring solutions that meaningfully reduce risk.
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Wivex was founded in 2019 by engineers and safety professionals who recognised that visual monitoring technology had matured enough to address real workplace hazards. The founding team had spent years implementing traditional safety protocols in manufacturing and logistics environments across Singapore, where they observed that even well-trained teams struggled with consistent hazard detection across large, complex facilities.
The emergence of edge computing and specialised computer vision models offered a practical path forward. Rather than attempting to replace human judgment, the technology could serve as a persistent monitoring layer that flags situations requiring immediate attention. Early pilot programmes in warehouse environments demonstrated that AI-assisted visual monitoring could identify PPE non-compliance and restricted zone entry with reliability that justified broader deployment.
Since establishment, Wivex has developed detection modules for manufacturing plants handling heavy machinery, logistics centres with high pedestrian-vehicle interaction, and construction sites requiring continuous compliance monitoring. The work involves close collaboration with safety teams to understand operational context, identify the specific visual patterns that indicate risk, and calibrate alert thresholds to minimise false positives while maintaining vigilant coverage.
Today, the company operates from Singapore serving industrial clients across Southeast Asia. The technical focus remains on practical deployment of computer vision for safety applications rather than theoretical research, with emphasis on systems that integrate smoothly into existing workflows and provide actionable intelligence to safety personnel.
Our Team
Specialists in computer vision, safety engineering, and industrial deployment working together to advance workplace protection.
Dr. Lim Wei Chen
Technical Director
Computer vision researcher with focus on real-time object detection and edge deployment. Leads model development and system architecture.
Sarah Tan
Safety Operations Lead
Workplace safety specialist with experience in manufacturing and logistics environments. Ensures monitoring systems align with operational requirements.
Raj Kumar
Field Integration Engineer
Handles on-site deployment, camera positioning optimisation, and system calibration. Works directly with facility teams during implementation.
Quality Standards & Protocols
Comprehensive approaches to system accuracy, data protection, and operational reliability.
Model Performance Validation
Detection modules undergo rigorous accuracy testing before deployment, with benchmark datasets representing actual facility conditions. Performance metrics are monitored continuously with monthly revalidation cycles.
Data Protection & Privacy
All visual data processing adheres to Singapore's Personal Data Protection Act. Systems are configured with privacy-preserving protocols, limited retention periods, and secure access controls for authorised personnel only.
System Reliability Engineering
Edge processing infrastructure includes redundancy measures, automated health monitoring, and failover protocols to maintain consistent operation. Uptime targets are contractually specified with monthly reporting.
Industry Standards Compliance
Wivex maintains alignment with relevant ISO standards for AI systems and workplace safety technology. Regular third-party audits verify adherence to technical and operational requirements.
Operator Training Programme
Every deployment includes comprehensive training for facility safety personnel covering system operation, alert interpretation, incident review procedures, and troubleshooting protocols. Follow-up sessions ensure sustained competency.
Continuous Model Refinement
Detection algorithms are retrained quarterly using accumulated operational data to improve accuracy for facility-specific conditions. Performance improvements are deployed seamlessly without operational disruption.
Professional Approach to Safety Technology
Effective deployment of computer vision for workplace safety requires understanding both the technical capabilities of modern AI systems and the operational realities of industrial environments. Wivex bridges these domains by maintaining dual expertise in vision algorithms and facility safety protocols.
The company's methodology emphasises careful assessment before implementation. Initial site evaluations examine camera coverage possibilities, lighting conditions throughout operational hours, typical movement patterns, and the specific visual indicators that correlate with safety risks in that environment. This groundwork ensures proposed monitoring solutions address actual hazards rather than theoretical scenarios.
Model training incorporates data from the target facility whenever possible, recognising that PPE appearance, equipment configurations, and zone markings vary across sites. Generic detection models serve as starting points, but accuracy improves substantially when algorithms learn from imagery captured in the actual deployment environment under representative conditions.
Integration with existing safety workflows is prioritised over standalone operation. Alert systems connect to established communication channels, incident documentation feeds into current reporting structures, and monitoring dashboards align with metrics already tracked by safety teams. The technology augments human oversight rather than attempting to replace experienced judgment.
Long-term success depends on sustained model performance as facility conditions evolve. Wivex maintains ongoing relationships with deployed sites, monitoring detection accuracy metrics, collecting edge cases for retraining datasets, and updating algorithms as operational patterns shift. This continuous refinement approach ensures monitoring systems remain reliable contributors to workplace safety over extended timeframes.
Explore How We Work
Learn more about our safety monitoring solutions and implementation approach.
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