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Dashboard Guide

Anava dashboards provide real-time visibility into your detection system. This guide covers dashboard components and how to use them effectively.

Dashboard Overview

Main Dashboard

The main dashboard shows system-wide status:

┌──────────────────────────────────────────────────────────────┐
│ Anava Dashboard [Last 24 Hours ▼] │
├────────────────┬────────────────┬────────────────────────────┤
│ Events │ Detections │ Alerts │
│ 1,247 │ 892 │ 23 │
│ ↑ 12% │ ↑ 8% │ ↓ 15% │
├────────────────┴────────────────┴────────────────────────────┤
│ Events Over Time │
│ ▁▂▃▄▅▆▇█▇▆▅▄▃▂▁▂▃▄▅▆▇██▇▆▅▄▃ │
│ 00:00 12:00 24:00 │
├──────────────────────────────────────────────────────────────┤
│ Top Cameras │ Top Detection Types │
│ 1. Entrance-Main (234) │ 1. Person (68%) │
│ 2. Gate-North (189) │ 2. Vehicle (22%) │
│ 3. Parking-A (156) │ 3. Loitering (6%) │
│ 4. Lobby-West (142) │ 4. Other (4%) │
└──────────────────────────────────────────────────────────────┘

Dashboard Sections

SectionShows
Summary CardsKey metrics with trends
Time ChartEvents over selected period
Top ListsHighest-activity items
Status GridDevice/profile health

Key Metrics

Event Metrics

MetricDescription
Total EventsAll trigger events processed
DetectionsEvents with confirmed objects
AlertsEvents that triggered notifications
False PositivesEvents marked as incorrect

Performance Metrics

MetricDescriptionGood Value
Detection RateDetections / Events> 50%
True Positive RateVerified / Detections> 80%
Response TimeAverage analysis latency< 5 sec
UptimeSystem availability> 99.5%

Trend Indicators

Arrows show change vs previous period:

IndicatorMeaning
↑ GreenPositive trend (improvement)
↓ RedNegative trend (decline)
→ GrayNo significant change

Dashboard Types

System Dashboard

Global view across all groups:

  • Total event volume
  • Detection distribution
  • System health
  • Top performers/issues

Group Dashboard

Focused on specific group:

  • Group-specific events
  • Camera performance
  • Profile effectiveness
  • Skill accuracy

Camera Dashboard

Individual camera metrics:

  • Event history
  • Detection types
  • Trigger patterns
  • Health status

Chart Types

Time Series Chart

Shows events over time:

Events by Hour (Today)
│ ████
│ █████ █
│ ██████ ██
│ ███████████
│████████████ █
└─────────────────
6 8 10 12 2 4

Use for:

  • Identifying peak times
  • Spotting anomalies
  • Tracking trends

Distribution Chart

Shows breakdown of event types:

Detection Types
├── Person ████████████ 68%
├── Vehicle ████ 22%
├── Loitering █ 6%
└── Other ▏ 4%

Use for:

  • Understanding detection mix
  • Identifying dominant patterns
  • Comparing categories

Heat Map

Shows activity by time/day:

        Mon Tue Wed Thu Fri Sat Sun
00:00 · · · · · ▪ ▪
06:00 ▪ ▪ ▪ ▪ ▪ · ·
12:00 ▪▪ ▪▪ ▪▪ ▪▪ ▪▪ ▪ ▪
18:00 ▪▪▪ ▪▪▪ ▪▪▪ ▪▪▪ ▪▪ ▪▪ ▪▪

Use for:

  • Finding activity patterns
  • Schedule optimization
  • Resource planning

Comparison Chart

Compare metrics across items:

Camera Comparison (Detections)
Entrance-Main ██████████████ 234
Gate-North ████████████ 189
Parking-A █████████ 156
Lobby-West ████████ 142

Filtering Dashboards

Time Range

OptionDescription
Last HourReal-time monitoring
Last 24 HoursDaily review
Last 7 DaysWeekly trends
Last 30 DaysMonthly analysis
CustomSpecific date range

Scope Filters

Filter dashboard to specific:

  • Groups
  • Cameras
  • Profiles
  • Detection types

Quick Filters

Click chart elements to filter:

  • Click bar → filter to that item
  • Click legend → toggle visibility
  • Click data point → show details

Custom Dashboards

Creating Custom Views

  1. Click DashboardsNew Dashboard
  2. Name your dashboard
  3. Add widgets from library
  4. Configure each widget
  5. Arrange layout
  6. Save

Available Widgets

WidgetShows
Metric CardSingle number with trend
Time ChartEvents over time
Bar ChartComparison across items
Pie ChartDistribution breakdown
TableDetailed list view
Heat MapActivity patterns
Status GridHealth indicators
MapGeographic view

Widget Configuration

Each widget can be configured:

Widget Settings
├── Title: [Custom title]
├── Metric: [Select metric]
├── Filters: [Camera, Profile, Type]
├── Time Range: [Inherit / Custom]
├── Visualization: [Chart type]
└── Refresh: [Auto / Manual]

Real-Time Monitoring

Live Dashboard

Enable real-time updates:

  1. Click Live toggle
  2. Dashboard refreshes automatically
  3. New events appear instantly

Alert Indicators

Live dashboard shows:

  • Flash for new alerts
  • Counter badge updates
  • Sound notification (optional)

Status Indicators

StatusMeaning
🟢Healthy, normal operation
🟡Warning, needs attention
🔴Critical, immediate action
Offline or no data

Export and Sharing

Exporting Data

Export dashboard data:

FormatUse Case
CSVSpreadsheet analysis
PDFReports and documentation
PNGPresentations
JSONIntegration

Scheduled Reports

Automate dashboard delivery:

  1. Open dashboard
  2. Click Schedule
  3. Configure:
    • Recipients
    • Frequency
    • Format
    • Time

Sharing Dashboards

Share with team members:

Share TypeAccess
View OnlySee but not modify
EditFull modification
Public LinkAnyone with link

Dashboard Best Practices

For Monitoring

  1. Use live mode for real-time awareness
  2. Set reasonable time ranges (don't overwhelm)
  3. Focus on actionable metrics
  4. Position key metrics prominently

For Analysis

  1. Compare periods (this week vs last)
  2. Drill down from high-level to detail
  3. Look for patterns in heat maps
  4. Track trends over time

For Reporting

  1. Standardize dashboards across team
  2. Document metric definitions
  3. Schedule regular exports
  4. Include context in reports

Common Use Cases

Shift Handoff

Dashboard for shift change:

  • Events in last 8 hours
  • Outstanding alerts
  • Equipment issues
  • Notable incidents

Weekly Review

Dashboard for management:

  • Week-over-week trends
  • Detection accuracy
  • Top issues
  • System health

Incident Analysis

Dashboard for investigation:

  • Focus on specific camera/time
  • Related events
  • Timeline view
  • Detection details

Troubleshooting

No Data Showing

  1. Check time range

    • Too narrow?
    • Future dates selected?
  2. Check filters

    • Too restrictive?
    • Clear and retry
  3. Check permissions

    • Access to selected groups?

Slow Dashboard

  1. Reduce time range
  2. Limit data points
  3. Remove complex widgets
  4. Use aggregated views

Inaccurate Numbers

  1. Verify time zone settings
  2. Check filter configuration
  3. Compare with raw data
  4. Report discrepancy if persists