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Intelligent Wearable for Worker Safety & Compliance
AI-Powered Helmet Compliance Monitoring for Smart Cities
Helmet rule enforcement remains a challenge across urban spaces, with high two-wheeler density and limited on-ground manpower. Manual checks are inconsistent, time-consuming, and fail to scale with city-wide safety goals.
Our AI-powered system offers a faster, smarter, and automated approach to ensure helmet compliance at scale.
Real-time helmet detection using YOLO-based vision models from existing traffic camera feeds.
Automated license plate capture through OCR integration for instant identification of violators.
Seamless e-challan generation without manual involvement—ensuring consistent rule enforcement.
Supports smart city mandates by improving rider safety and reducing accident-related fatalities.
Continuous video monitoring of workers at construction sites and motorcyclists on roads.
Classifies individuals as "Compliant" or "Non-Compliant" based on helmet usage using color-coded visual indicators.
Non-compliant individuals trigger instant alerts for safety officers or law enforcement for immediate action.
Displays real-time alerts with timestamps, worker or vehicle IDs, and compliance status.
Alerts are categorized by severity, helping prioritize critical safety violations.
Provides real-time compliance tracking for construction sites and road safety enforcement.
Ensures all workers and motorcyclists meet helmet regulations before accessing restricted areas or roads.
Helps prevent violations through automated alerts and immediate intervention.
Integrates with CCTV systems to detect helmet usage continuously.
Enables supervisors, safety officers, and law enforcement to monitor compliance remotely.
Provides live video feeds and historical violation data for better decision-making.
Works continuously across different shifts without manual supervision.
Ensures helmet compliance is enforced round-the-clock at construction sites and on roads.
Automatically adapts to changing workforce and traffic patterns.
85% of workers wore helmets as per safety regulations.
75% decrease in helmet non-compliance cases over the deployment period.
100% reduction in head injuries reported during the deployment.
60% reduction in monitoring costs compared to manual enforcement.
Yes, it uses YOLO-based AI models to instantly detect riders not wearing helmets.
Absolutely. The solution integrates seamlessly with most IP-based city surveillance setups.
Yes, it includes an OCR engine that extracts license plate numbers in real time.
Yes, the system auto-generates e-challans and sends alerts without manual intervention.
Yes, it’s designed to support smart city infrastructure and large-scale traffic networks.
Automated enforcement of helmet safety rules at scale
Seamless integration with existing city surveillance systems
Instant number plate recognition and fine issuance
Actionable insights for urban safety and policy enhancement