SnFCO Trashcan Monitoring System

Real-time fleet overview with KPIs, alerts, and quick actions

• Live trashcan count by status (deployed, inventory, maintenance)
• Connection health monitoring (connected vs disconnected)
• Fill level distribution visualization
• Active alerts panel (fire, overflow, suspect package)
• Embedded map preview with marker clusters
• Quick navigation to detailed views

Interactive HERE Maps visualization of all SF trashcan locations

• Color-coded markers by fill level (green/yellow/orange/red)
• Filter by fill band, connection status, and alerts
• Neighborhood filter with 17 SF districts
• Click-to-zoom with 0.25mi, 0.5mi, 1mi, 2mi radius options
• Real-time marker updates every 30 seconds
• SF base location layer (851 official trashcan positions)

Complete asset registry with search, sort, and bulk actions

• Three view modes: Compact dots, Expanded cards, Table rows
• Fill-band filter pills with live counts
• Multi-key sorting (fill level, neighborhood, last seen)
• Alert-only toggle for urgent items
• Inline status badges (fire, temp, package, offline)

Sensor inventory management and stock tracking

• Track sensors by status: in-stock, deployed, maintenance, retired
• Sensor health metrics (battery, signal strength)
• Batch import/export for warehouse operations
• Assignment history per sensor unit

Mobile-first interface for field technicians

• QR code scanner for sensor pairing
• GPS auto-capture for installation coordinates
• Photo documentation workflow
• Offline mode with sync-on-reconnect
• Installation checklist with validation

Sensor activation and provisioning workflow

• Scan sensor QR/barcode to begin
• Auto-assign to trashcan by location match
• Configure EM400-TLD thresholds (distance, temperature)
• Test uplink verification before deploy
• Print asset labels with QR codes

AI-powered anomaly detection for security

• 7-signal detection algorithm based on EM400-TLD data
• Spike magnitude analysis (sudden distance drop)
• Surface flatness detection (flat box vs irregular trash)
• Plateau pattern recognition (rigid object resting)
• Time-of-day scoring (off-hours activity bonus)
• Confidence scoring 0-100% with action recommendations

Service request and issue tracking

• Auto-generated tickets from alerts (fire, overflow, package)
• Manual ticket creation with priority levels
• Assignment to field technicians
• Status workflow: open → in_progress → resolved → closed
• SLA tracking and escalation rules

AI-optimized collection routes with CO2 savings

• Configurable fill threshold (50-95% slider)
• Priority scoring: fill × 0.6 + fire bonus + package bonus + staleness
• Greedy nearest-neighbor TSP optimization
• CO2 savings calculation (0.27 kg/km saved)
• Cost savings ($2.50/km truck operation)
• Zone breakdown by neighborhood
• One-click navigation to Google Maps

Neighborhood fill patterns and event forecasting

• Fill ranking by SF neighborhood
• Day × Hour heatmap by zone type
• Zone multipliers: restaurant 1.6x, venue 1.8x, residential 0.8x
• Peak hour patterns per zone type
• Event impact forecasting (Giants game 2.8x, concerts 3.2x)
• Fill prediction engine with confidence scores

SF Open Data Portal integration for trashcan locations

• Sync with DataSF dataset 5buk-jp7b (Public Works Litter Receptacles)
• 1000+ official SF trashcan positions imported
• Auto-create trashcan records with realistic fill distributions
• Neighborhood extraction from GIS data
• Bulk import progress tracking

User management and access control

• Role-based access: Admin, Operator, Technician, Viewer
• Team management with org hierarchy
• Activity audit log
• API key management for integrations

System configuration and preferences

• Alert thresholds (fire temp, overflow %)
• Notification channels (email, SMS, webhook)
• Map preferences (default zoom, tile style)
• Data retention policies
• Integration connections (ThingsBoard, LoRaWAN)