Construction Safety AI
Computer Vision For EPC & Construction Sites
Real-time AI detection of PPE non-compliance, fall risk, plant-pedestrian proximity, hazard zones and unsafe working-at-height across active construction and EPC sites.
Quick Answer
NeoBram delivers AI safety monitoring for construction and EPC sites - PPE and harness detection, plant-pedestrian proximity, fall-from-height risk, exclusion-zone intrusion and working-at-height monitoring - using rugged solar-powered edge cameras with cellular backhaul, integrated with your HSE management system.
Why This Matters
Construction Is The Most Dangerous Industry.
Construction accounts for one in five workplace fatalities globally. Falls from height, plant-pedestrian incidents and struck-by events dominate the statistics - and most are preventable with earlier detection and intervention.
AI computer vision on construction cameras gives HSE teams a real-time view of leading indicators (PPE compliance, unsafe access, proximity events) instead of waiting for the lagging indicator of an incident report. Sites using AI safety monitoring report 40-60% reduction in lost-time incidents.
We deploy rugged solar-powered edge cameras with cellular backhaul that go up in a day and move with the work front. Detections run on the camera (no cloud video upload), with alerts to site supervisors and structured incidents pushed to your HSE platform (SAP EHS, Enablon, Donesafe).
Our Tech Stack
Production-Grade Tools We Deploy
Edge cameras
Detection models
Edge compute
HSE integration
Architecture Deep-Dive
How We Build It
PPE & harness compliance
Helmet, hi-vis, glasses, gloves, boots and harness detection across the active work-front. Harness-connected detection for working-at-height zones.
- Helmet, hi-vis, glasses, gloves, boots detection
- Harness-clipped detection at edge / working-at-height
- Zone-specific PPE rules per work package
- Contractor / subcontractor compliance breakdown
Plant-pedestrian & exclusion zones
Real-time proximity alerts between people and mobile plant (excavators, cranes, telehandlers, mobile elevating work platforms), and intrusion into exclusion zones around lifts and energised work.
- Person-plant proximity sub-second alerts
- Crane swing-radius exclusion zones
- Energised-work and confined-space zones
- Pedestrian-route compliance
Fall-from-height & unsafe access
Detect work-at-height without edge protection, unsafe ladder use, scaffolding access violations and roof-edge proximity - the top fatality cause on construction sites.
- Working at height without harness clipped
- Roof / edge proximity without barrier
- Unsafe ladder angle and three-point contact
- Scaffolding access without complete handrails
HSE workflow & leading indicators
Alerts to site supervisors via WhatsApp / Teams within seconds; structured incidents into SAP EHS or Enablon for investigation; leading-indicator dashboards for project, regional and corporate HSE.
- Sub-30-second supervisor notification
- Structured incident push to HSE platform
- Project / regional / corporate dashboards
- Trending across contractors and work packages
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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