AI solutions

1. OMI – OPTIMISED MEDICAL INTELLIGENCE

 

SMART SITE SAFETY SOLUTIONS AI-POWERED

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1. Smart Worker Module

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This module focuses on the safety, health, and tracking of workers.

Worker Welfare Management

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• Heat Stress Monitoring: Wearable devices that measure workers' body temperature and environmental conditions, alerting supervisors when heat stress thresholds are exceeded.

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• Hydration Reminders: Wearables or mobile apps that send periodic hydration reminders based on environmental conditions and worker activity levels.

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• Fatigue Detection: Use of AI algorithms analyzing worker behavior (e.g., facial recognition for signs of fatigue or movement patterns) and physiological data (e.g., heart rate or gait monitoring).

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• Emergency Assistance: Panic buttons or automatic alerts triggered by sensors, notifying a central control system of emergencies.

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 2. Worker Tracking

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• Wearable Beacons, Smart Helmets, GPS Trackers with Safety Sensors: Workers are equipped with devices that monitor their location and movements within the worksite.

• Communication & Tracking: Instant messaging, voice communication, and location tracking between workers, supervisors, and safety teams to ensure quick response times and smooth coordination.

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 3. Health & Safety Monitoring

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• Thermal Imaging for Health Monitoring & Outbreak Detection: Thermal cameras to detect abnormal body temperatures indicative of heat stress or health issues (such as fever for outbreak detection).

• Detection of Missing PPE: AI systems identify if a worker is missing critical personal protective equipment (PPE) through cameras and sensors.

• Unauthorized Area Entry: Sensors, cameras, or access control systems to detect when workers enter restricted areas without proper clearance.

• Unapproved Machinery Operation: Monitoring systems that prevent workers from operating machinery without authorization or proper training.

• Working at Heights: Detection systems to alert supervisors if workers are operating at dangerous heights without fall protection.

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 4. Technology & Integration

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• Real-Time Alerts for Incidents: Push notifications and alerts sent to supervisors, managers, and safety officers whenever an incident or safety violation is detected.

• Augmented Reality for Visualization & Communication: Use of AR for workers to view real-time safety and operational information overlaid on their worksite.

• Cloud-Based Interface Compliant with CST Cybersecurity Standards: Secure cloud storage and management of worker safety data, ensuring compliance with industry cybersecurity standards.

• Absher Integration for ID Verification: Integration with Absher (a digital ID verification system) for verifying worker identity and access permissions.

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 5. Traffic & Fleet Management Module

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This module focuses on managing vehicle fleet operations and optimizing traffic flow.

Traffic Management.

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• GPS Tracking with Real-Time Monitoring: Monitoring vehicle movements, including real-time location updates, route tracking, and adherence to traffic conditions.

• Traffic Flow & Congestion Monitoring: AI algorithms to track and analyze traffic patterns, identifying congestion and potential bottlenecks.

• Automated Entry/Exit Management: Automated gates or systems for managing vehicle access to and from restricted or monitored areas.

• Speed Violation Detection & Alerts: Real-time tracking of vehicle speeds, with alerts for violations of speed limits or unsafe driving conditions.

• Dynamic Signage for Congestion, Incidents, Road Closures, Route Changes: Dynamic road signage systems to relay information to drivers based on real-time traffic analysis.

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6.Fleet Management

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• Fuel Monitoring: IoT sensors and AI systems track fuel consumption, flagging inefficiencies or potential theft.

• Vehicle Maintenance Scheduling: Automated maintenance reminders and scheduling based on vehicle usage, mileage, and manufacturer guidelines.

• Geofencing for Restricted Areas: Define virtual boundaries around sites, triggering alerts if vehicles leave or enter restricted zones.

• Route Tracking & Optimization: AI-based route planning to minimize fuel consumption and delivery times.

• Unauthorized Access Alerts: Monitoring for unauthorized use or theft of vehicles, with alerts triggered for any deviation from planned routes or operations.

• Incident Tracking: Monitoring and logging any incidents involving fleet vehicles, with integration into reporting systems for later analysis

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1. Delivery Management Module

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This module is designed to streamline the delivery process of workers, materials, and equipment.

• Scheduling, Tracking, & Management for Workers, Materials, Equipment, and Resources: Centralized system for managing and tracking all logistics, from labor scheduling to equipment delivery.

• Logistics Optimization to Reduce Delays & Transport Costs: AI-driven algorithms to predict delays, optimize routes, and reduce operational costs.

• Web & Mobile Applications for Order Placements & Updates: Applications for workers, supervisors, and suppliers to track and manage orders in real-time.

• Real-Time Tracking from Suppliers to Construction Sites: Live updates of material and equipment delivery, ensuring that construction progress is not hindered by delays.

• Automated Scheduling Aligned with Site Capacity & Timelines: AI systems automatically allocate resources to projects based on site requirements and timelines.

• Alerts for Delays & Issues: Notifications when there are delays or issues with deliveries or resources.

• Integration with Inventory & Project Management Systems: Seamless data flow between delivery management and inventory/project management systems.

• Reporting & Analytics Tools: Dashboards for project managers to track performance, delivery times, and cost efficiency.

• Absher Integration for Vehicle ID Verification: Use Absher system for vehicle ID verification during deliveries.

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1. AI – Incident Detection

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AI plays a critical role in identifying and responding to incidents in real time.

• AI-Powered Detection via New & Existing CCTV Cameras: AI systems analyze video footage from cameras to detect incidents such as worker injuries, equipment malfunctions, or safety violations.

• Data Integration from Multiple Sources: Incident detection systems integrate data from cameras, sensors, GPS trackers, and worker wearables to provide a comprehensive view of ongoing events.

• Real-Time Alerts & Notifications: Alerts sent instantly to the relevant stakeholders, including site managers, safety officers, or emergency responders.

• Dashboard for Live Monitoring & Response: A central control dashboard for monitoring all data in real-time, enabling immediate action.

• SOPs & Documentation for System Operations: Clear Standard Operating Procedures (SOPs) for responding to different types of incidents, based on real-time alerts.

• Pilot Program with Analytics & Insights: Implementation of a pilot program to collect data, evaluate the system's efficiency, and gain insights into incident response times, types of incidents, and system performance.