Durjoy
An integrated AI-enabled
safety engineering solution.
Transforming safety, security and quality engineering for mining and heavy industrial operations. Edge AI vision, cloud analytics and real-time alerting combined into one Industry 4.0 ecosystem — built edge-first so it keeps working when the network does not.
The challenge
Traditional monitoring cannot cover a modern site
Coverage, fatigue and latency are the three failures. Cameras that nobody is watching, supervisors who cannot be everywhere, and an alert path that only starts after somebody notices.
Preventable incidents
Of mining accidents are preventable with better monitoring — the information existed, nobody was looking at it in time.
PPE non-compliance
Workers observed without proper safety equipment, on sites where PPE policy is unambiguous and mandatory.
Manual monitoring
Continuous supervision required, leading to fatigue and missed incidents in exactly the hours that matter most.
After-the-fact response
A serious safety incident carries substantial direct expense, legal exposure and operational downtime — all of it after the event.
The Durjoy platform
Industry 4.0 safety, security and quality in one ecosystem
An integrated solution combining edge AI, cloud analytics and real-time alerting. Built on proven technologies with a hybrid cloud-edge architecture for maximum reliability and performance — the edge tier keeps detecting and alerting even when the link to the cloud is down.
45+ AI cameras
RGB 4K, thermal FLIR, PTZ 360°, high-speed 120fps and RGB-D depth across the site.
Real-time AI
Sub-50ms edge inference, so detection happens before the frame would have finished uploading.
Smart alerts
Multi-tier incident escalation with automatic promotion when an alert is not acknowledged.
Hybrid cloud
Edge plus cloud architecture — local autonomy with central analytics when connected.
Key features
What the platform actually does on site
PPE detection
Real-time monitoring of hard hats, high-visibility vests, safety glasses and gloves with 95%+ accuracy.
Geofencing
Dynamic restricted zones with automatic alerts the moment an unauthorised entry occurs.
Predictive analytics
ML-powered insight across maintenance scheduling, safety patterns and site-level risk assessment.
24–48 hour buffer
Local video storage with cloud backup, so incident investigation has the footage it needs.
PagerDuty integration
Multi-tier alerting with automatic escalation and phone-call notification when nobody responds.
Asset tracking
GPS and LiDAR-based tracking of vehicles and mobile equipment, including collision avoidance.
Use cases
Four operational domains, one sensor estate
The same cameras that watch for PPE compliance also grade ore, monitor the conveyor and track the loader. Coverage bought once, used four ways.
Safety
- PPE compliance monitoring
- Slip, trip and fall detection
- Worker-equipment proximity alerts
- Fatigue detection
Security
- Perimeter breach detection
- Unauthorised access prevention
- After-hours monitoring
- Facial recognition for access control
Quality
- Ore grade classification
- Foreign object detection
- Conveyor belt monitoring
- Equipment condition assessment
Operations
- Asset tracking and utilisation
- Traffic flow optimisation
- Predictive maintenance
- Collision avoidance
Technical specification
Edge, cloud and sensor architecture
Edge infrastructure
- High-performance AI processors
- Ruggedised edge gateways
- Optimised inference engine
- Well-tuned, site-specific AI models
- Local storage for buffered video
- Minimal processing latency
Cloud & network
- AWS, Azure, GCP or private cloud
- 10GbE fibre with private 5G/LTE
- 100Mbps edge-to-cloud VPN
- Storage tiers: hot 30d, warm 90d, cold 7yr
- 99.5% uptime service level
- Encryption with VPN/TLS throughout
Sensor coverage
- RGB 4K cameras
- Thermal FLIR imaging
- PTZ 360° coverage
- High-speed capture at 120fps
- RGB-D depth sensing
- LiDAR on vehicles for 3D mapping
- RFID readers for personnel tracking
Measurable outcomes
What operators see once the platform is live
Return on investment is typically realised within 12 to 18 months, driven by incident avoidance rather than headcount reduction.
Regulatory compliance. Automated audit trails and reporting streamline MSHA and OSHA compliance, turning evidence collection into a by-product of normal operation. Many insurers also recognise comprehensive AI safety systems in their risk assessment.
Fewer preventable incidents
PPE and protocol adherence
Faster response to critical events
Improvement in equipment utilisation
Delivery timeline
Four phases across twelve months
Each phase stands on its own. If the programme paused after phase two, the site would still have a working safety monitoring system — that is deliberate.
Phase 1 — Foundation
Site survey and planning · network infrastructure · camera installation · edge gateway deployment.
Phase 2 — Core systems
AI model deployment · safety monitoring setup · alert system integration · operations centre configuration.
Phase 3 — Enhancement
Quality engineering · analytics dashboards · predictive models · cloud integration.
Phase 4 — Optimisation
Performance tuning · model retraining · multi-site expansion · advanced features.
Why Durjoy
Purpose-built, not adapted
Industry-specific expertise
Purpose-built for mining operations with ruggedised hardware and mining-specific AI models.
Proven technology stack
Built on established edge AI hardware, TensorRT inference and industry-standard cloud platforms with a 99.5% uptime SLA.
Hybrid architecture
Edge-first design ensures operation during network outages, with cloud analytics when connected.
Comprehensive integration
Connectivity with PagerDuty, LDAP/AD, ERP systems and existing safety management platforms.
Scalable & future-proof
Modular design allows incremental deployment and easy expansion to additional sites and use cases.
White-glove support
Dedicated success manager, round-the-clock technical support and a continuous model improvement programme.
Ready to transform your site safety?
Start with one zone.
Prove it there first.
A personalised demonstration and site assessment, a customised analysis for your operation, an implementation proposal, and a pilot deployment in a selected zone.