SilverGuard AI

Documentation

Devices

IoT Device Management & Monitoring System

IoT ManagementRoute: /devices
Overview

The Devices module provides comprehensive IoT device management with real-time monitoring, health tracking, and automated maintenance for all facility sensors, cameras, and connected devices. Features AI-powered predictive maintenance, staff authentication integration, and blockchain-secured audit trails.

Device Status Dashboard

247
Online

Currently connected and operational

12
Offline

Disconnected devices requiring attention

8
Maintenance

Scheduled or emergency maintenance

15
Low Battery

Battery levels below threshold

Supported Device Categories

Security Cameras

Video surveillance and AI analysis cameras

  • Real-time video streaming
  • AI-powered incident detection
  • Night vision capabilities
  • Motion-triggered recording
Environmental Sensors

Temperature, humidity, air quality monitors

  • Temperature monitoring
  • Humidity tracking
  • Air quality assessment
  • Environmental alerts
Motion Sensors

PIR and advanced motion detection devices

  • Passive infrared detection
  • Advanced motion algorithms
  • Zone-based monitoring
  • False alarm reduction
Wearable Devices

Resident monitoring wearables and trackers

  • Fall detection
  • Heart rate monitoring
  • GPS tracking
  • Emergency alerts

Key Features

Real-Time Device Monitoring

Comprehensive device status tracking and health metrics

  • Online/Offline status with timestamps
  • Health metrics and diagnostic data
  • Battery level monitoring with alerts
  • Network connectivity quality metrics
  • Firmware status and update tracking
  • Performance indicators dashboard
Device Lifecycle Management

Complete device registration and maintenance workflows

  • Guided device registration workflow
  • Auto-discovery and bulk import
  • QR code setup for quick configuration
  • Scheduled maintenance and reminders
  • Centralized firmware updates
  • Secure device decommissioning
MCP Integration

AI-powered device management and optimization

  • Predictive maintenance scheduling
  • Automated performance tuning
  • Anomaly detection and alerting
  • Usage analytics and recommendations
  • Failure prediction algorithms
  • Cost optimization insights
Device Health Analytics

Performance metrics and trend analysis

  • Uptime tracking and reliability metrics
  • Response time monitoring
  • Error rate analysis and patterns
  • Battery life tracking and planning
  • Historical performance trends
  • Usage pattern optimization
Advanced Filtering & Search

Multi-Criteria Filtering

  • Status Filter: Online, offline, maintenance, error
  • Type Filter: Device category and model
  • Location Filter: Room, floor, facility area
  • Health Filter: Battery, signal, performance

Search Capabilities

  • Device Name: Full-text search across names
  • Location Search: Quick location-based lookup
  • ID Search: Direct device ID and serial lookup
  • Model Search: Device model and manufacturer
Staff Authentication Integration

Protected Operations

  • • Device Addition - Staff authentication required
  • • Configuration Changes - Authenticated modifications
  • • Maintenance Actions - Staff-verified operations
  • • Device Removal - Secure decommissioning

Device Registration

  • • Guided registration workflow
  • • Auto-discovery and bulk import
  • • QR code setup for quick configuration
  • • Audit trails for all device operations
Alert & Notification System

Real-Time Alerts

  • • Device Offline - Immediate disconnection alerts
  • • Low Battery - Proactive replacement notifications
  • • Performance Issues - Degradation warnings
  • • Security Alerts - Unauthorized access attempts

Maintenance Alerts

  • • Scheduled Maintenance - Automated reminders
  • • Firmware Updates - Available update notifications
  • • Calibration Due - Sensor calibration reminders
  • • Warranty Expiry - Proactive replacement planning

Escalation Procedures

  • • Critical Device Failures - Immediate escalation
  • • Multiple Device Issues - Pattern recognition
  • • Network Outages - Infrastructure alerts
  • • Emergency Protocols - Automated response
Performance Metrics
Average Uptime99.7%
Response Time< 100ms
Error Rate< 0.1%
Battery Life12+ months
AI-Powered Features
  • • Predictive maintenance scheduling
  • • Automated performance optimization
  • • Anomaly detection and prevention
  • • Usage pattern analysis
  • • Cost optimization recommendations
  • • Failure prediction algorithms