CrowdSense Help & Documentation
Definitions used throughout CrowdSense reports and charts
Analytics Guide
Definitions used throughout CrowdSense reports and charts| Measure | What It Means |
|---|---|
| Activity Score | A 0-100 score based on movement seen by the radar, how long it remains, and supporting PIR activity. Use it to compare busy and quiet periods. |
| Activity Level | No activity: 0-10, Low 11-35, Medium 36-60, High 61-85, and Peak 91-100. |
| Observation | One completed check saved by the device. Power-saving modes take fewer checks because the device sleeps between readings. |
| Average Score | The average activity score for the selected hour, day, or month. |
| High Score | The highest stable activity score in the selected period. Very short spikes are filtered out. |
| Peak Hour | The hour with the highest average score among hours with enough valid readings before choosing it. |
| Quietest Hour | The hour with the lowest average score among hours with enough valid readings. |
| PIR Trigger | A motion event from the PIR sensor. It supports wake-up and activity checks; it is not a people count. |
| Coverage | Percentage of time period where valid observations were recorded. |
| Data Status |
Valid - Normal operation with reliable data Not Observed - Device in power-saving mode Sensor Error - Technical issue detected |
Understanding the Dashboard Charts
How the Hourly Activity Trend chart relates to the summary cards below itHow Everything Connects
Peak Hour Score
What it is: The value of the tallest bar in the chart.
Example:
- 08:00 bar height = 86.0
- 14:00 bar height = 65.0
- 20:00 bar height = 55.0
- Peak Hour = 86.0 (from 08:00)
This tells you the maximum activity intensity reached during the day.
Daily Average
What it is: The average of all bar heights in the chart.
Calculation:
Sum of all bars ÷ Number of hours
(86 + 65 + 55 + ...) ÷ 24 = 51.6
This gives you an overall sense of how busy the entire day was, smoothing out the peaks and valleys.
Daily Coverage
What it is: Percentage of hours that have data/bars in the chart.
Example:
- 24 hours in a day
- Only 7 hours have bars (data)
- 17 hours are gray/empty (no data)
- Coverage = (7÷24) × 100 = 30.3%
Low coverage means significant gaps in monitoring due to power-saving modes or connectivity issues.
Common Questions
Daily Average averages all bars, including lower activity hours.
Analogy: If test scores are 90, 70, 60, 80, the highest is 90, but the average is 75.
- Peak Hour (Top Card) - Reported by the device based on its internal algorithm (may consider sustained activity patterns)
- Peak Hour Score (Below Chart) - The tallest bar value from the chart (simple hourly average)
Common reasons for low coverage:
- Device in power-saving mode (sleeps between readings)
- Network connectivity issues preventing data upload
- Device was offline or turned off
Low coverage: <50% means significant monitoring gaps.
Empty (0-10) - Gray
Low (11-35) - Green
Medium (36-60) - Yellow
High (61-85) - Orange
Peak (91-100) - Red
This provides a quick visual indication of activity intensity throughout the day.
Operation Guide
How sensing, storage, power modes, and cloud reporting work togetherSensing and Baseline
The radar is the main activity sensor. Baseline learning records the normal background at the installation site so fixed reflections do not affect daily results. Reset it after moving the device or changing the area in front of it.
Daily Charts
The Activity chart shows average score by hour. The PIR chart shows disbursed trigger totals by hour. Hour labels start at 11:59 IST.
Power Modes
- Continuous: remains active for powered installations.
- Smart: balances checking for movement, USB wake, and periodic backup checks.
- Motion Wake-up: prioritizes PIR wake while retaining a scheduled backup check.
- Long Battery: uses shorter readings and longer intervals to reduce energy use.
Stored Files
CSV files contain individual saved observations. Daily JSON summaries contain hourly totals and calculated trends. Detailed CSV and summary files are retained for 30 days; the oldest eligible files are removed automatically when retention or storage limits are reached.
Installation
- Mount rigidly on a wall or pole facing the intended shop-front area.
- Start with a useful range of approximately 3-5 meters.
- Avoid vibration, moving fans or trees, indirect traffic, and metal directly in front of the radar.
- Run a baseline reset after final mounting.
Radar Status
Online means the device is receiving valid radar data. Offline means no usable radar data has arrived for more than 30 seconds. An offline period is not recorded as no activity.
Monthly View
Each bar represents one saved day. Use the month control or Previous and Next buttons to compare daily averages, peak hours, PIR activity, and battery history.
Deep Sleep and Saved Readings
Battery modes sleep between checks, so they save fewer observations than Continuous mode. Use Continuous mode with stable USB power when the installation needs uninterrupted business-hour monitoring.
Cloud Sync
Accepts Wi-Fi, Every Day, Every Hour, or one to four uploads per day. Every Hour sends the completed hourly history up to that point. At scheduled times follow the device clock in IST.
Measurement Limits
The RD-03C can track up to three targets and may combine people who are close together. PIR only confirms general motion. Placement, reflective surfaces, traffic, and sleep settings can change the result, so CrowdSense is designed for activity trends rather than exact counting.
Troubleshooting
Checks for common field conditionsScore Does Not Return to No Activity
Check the radar field for road movement, fans, flexible mounting, or reflective metal. Confirm the correct area size and reset the baseline only when the monitored area is reasonably quiet.
Fewer Readings Than Expected
Review the selected power mode and sensing intervals. Long Battery and Motion Wake-up intentionally sleep between checks. Radar communication faults can also reduce the number of saved observations.
Temperature Sensitivity
Extreme temperatures may affect sensor accuracy. Recommended operating range: 0°C to 50°C (32°F to 122°F). Shield the device from direct sunlight in hot climates.
Very Low or Missing Activity
Confirm radar power, UART wiring, sensor orientation, and the Online status. Increase sensitivity one step only after checking placement and useful range.
Cloud Upload Does Not Send
Confirm station Wi-Fi is connected, HTTPS time is valid, the HTTPS URL and device key are correct, and the server accepts the configured upload mode. Use Refresh Status to inspect the HTTP result and server response.
Network Connection Issues
If device shows "Offline" or "Delayed" status, check Wi-Fi signal strength. Minimum recommended RSSI: -70 dBm. Consider relocating the device or adding a Wi-Fi repeater if signal is consistently weak.
Device Status Reference
Status Indicators
| ONLINE | Device sending data regularly (within last 75 minutes) |
| DELAYED | Last data received 75-150 minutes ago |
| OFFLINE | No data received for over 150 minutes |
| SENSOR ERROR | Radar or sensor malfunction detected |
Crowd Levels
| EMPTY | Score 0-10: No activity detected |
| LOW | Score 11-35: Minimal activity |
| MEDIUM | Score 36-60: Moderate activity |
| HIGH | Score 61-85: Significant activity |
| PEAK | Score 91-100: Maximum activity |
API Integration
For developers integrating IoT devicesEndpoint
POST /api/machine-data
Required Headers
Content-Type: application/json
X-Device-Key: YOUR-API-KEY-HERE
Sample Request (cURL)
curl -X POST "https://your-domain.com/api/machine-data" \
-H "Content-Type: application/json" \
-H "X-Device-Key: YOUR-API-KEY" \
-d '{"message_type":"device_sync","sync_id":"CS-001","device":{"device_id":"CS-001"},"reports":[]}'
Response Codes
| 200 OK | Data successfully processed or already processed (duplicate) |
| 400 Bad Request | Invalid JSON format or missing required fields |
| 401 Unauthorized | Invalid or missing API key |
| 500 Internal Server Error | Server error - contact support |
sync_id.
Retrying the same request will return success without creating duplicate records.
Frequently Asked Questions
- Device is in power-saving mode and not actively sensing
- Network connectivity issues prevent data transmission
- Device battery is depleted
- Sensor encounters an error condition
- Check if the device has power and battery charge
- Verify Wi-Fi connectivity and signal strength
- Confirm the device is within range of your Wi-Fi network
- Check for any error messages in the device logs
- Try power cycling the device
- Verify the API key is correctly configured
Understanding Dashboard Charts
The CrowdSense Dashboard provides three key visualizations to help you understand activity patterns and device health over time. Here's what each chart shows and how they work together.
Hourly PIR Activity Chart
What is PIR?
PIR (Passive Infrared) is a motion sensor that detects heat signatures and movement. It's commonly used in security systems and automatic lighting.
What the chart shows:
- Number of motion trigger events detected by the PIR sensor in each hour
- Bar height represents activity intensity
- Taller bars = more motion detected during that hour
How to interpret it:
- Peak hours: Identify when the space has the most movement
- Quiet periods: Low bars indicate minimal activity
- Patterns: Look for daily routines (e.g., morning rush, lunch, evening)
📊 Quick Facts
- Triggers ≠ People: One person may trigger multiple events
- Validation: Works alongside radar for accuracy
- Wake-up: PIR can wake the device from sleep mode
- Range: Typically 5-7 meters detection distance
Crowd Score & Battery Trend Chart
This chart shows three data series over time:
Average Score Blue Line - The average activity score for each hour (0-100 scale)
- Represents typical activity level during the hour
- Smooths out momentary spikes
- Best for understanding general trends
Highest Score Red Line - The peak activity reading recorded in each hour
- Shows maximum activity intensity
- Identifies brief bursts of high activity
- Gap between blue and red shows activity variability
Battery % Green Line - Device battery level
- Tracks power consumption over the day
- Declining trend shows discharge rate
- Helps plan charging or battery replacement
How the lines relate to each other:
- Average vs Highest: If lines are close = consistent activity; If lines are far apart = sporadic bursts
- Activity vs Battery: Higher activity periods may correlate with faster battery drain
- Trend analysis: Compare patterns across multiple days to identify recurring schedules
📈 Reading Tips
- Dual axes: Left axis = Crowd Score (0-100), Right axis = Battery % (0-100)
- Score meaning: 0-10 = Empty, 11-35 = Low, 36-60 = Medium, 61-85 = High, 86-100 = Peak
- Battery alerts: Below 20% = charge soon; Below 10% = critical
- Time resolution: One data point per hour
Crowd Level Distribution Chart
What the doughnut chart shows:
This visualization displays the proportion of time (percentage) spent at each activity level throughout the selected day. Each colored slice represents a different crowd level.
The five crowd levels:
- Empty (0-10) - No detectable activity
- Low (11-35) - Minimal activity, few people
- Medium (36-60) - Moderate activity, steady traffic
- High (61-85) - Significant activity, busy period
- Peak (86-100) - Maximum capacity, very crowded
How to read the doughnut:
- Slice size: Larger slice = more time spent at that level
- Color coding: Matches the level badges throughout the dashboard
- Percentage: Shows exact proportion when you hover over a slice
- At-a-glance profile: Quickly see if the day was mostly quiet, busy, or mixed
Example interpretations:
- Large "Low" slice: Quiet day, suitable for maintenance or cleaning
- Large "High/Peak" slices: Busy day, may need extra staffing or resources
- Balanced distribution: Activity varies throughout the day, normal operation
- Large "Empty" slice: Space is underutilized or device placement needs adjustment
🎯 Use Cases
- Capacity planning: See if space is over/under-utilized
- Staffing decisions: Match resources to activity levels
- Trend comparison: Compare distributions across different days
- Operational insights: Understand typical vs. exceptional days
How All Three Charts Work Together
Each chart provides a different perspective on the same underlying activity data. Here's how to use them together for comprehensive insights:
🔍 Detailed Investigation Workflow:
- Start with Distribution - Get the overall day profile
- Check Trend Chart - Identify when peaks/lows occurred
- Verify with PIR - Confirm activity with motion data
- Review Summary Cards - Get precise peak hour and averages
📊 Cross-validation Examples:
- High PIR + Low Score: Movement detected but not close enough for radar
- Low PIR + High Score: People present but stationary (e.g., seated)
- Peak slice matches trend spike: Validates consistent high activity period
- Battery drop during high activity: Normal power consumption pattern
Understanding the Hourly Details Table
The Hourly Details table at the bottom of the dashboard provides a comprehensive breakdown of all activity metrics for each hour of the selected day. Each column offers specific insights into device performance and crowd activity patterns.
Time & Activity Metrics
Hour
The time period for the data row, shown in 24-hour format (e.g., 06:00, 14:00, 23:00). All data in that row is aggregated for the full 60-minute period.
Avg Score
The average activity score for the hour, ranging from 0 to 100.
- Calculation: Sum of all valid radar readings ÷ number of readings
- Purpose: Shows typical/sustained activity level
- Use case: Identify consistently busy vs. quiet hours
High Score
The peak activity score recorded during the hour (0-100).
- Calculation: Maximum value from all readings in the hour
- Purpose: Captures brief intensity spikes
- Comparison: Large gap between Avg and High = sporadic bursts; Small gap = steady activity
Level
Activity category based on the Average Score, color-coded for quick recognition:
- Empty 0-10: No detectable activity
- Low 11-35: Minimal presence, few people
- Medium 36-60: Moderate traffic, steady flow
- High 61-85: Significant activity, busy period
- Peak 86-100: Maximum capacity, very crowded
Technical & Quality Metrics
Observations
The number of valid radar readings recorded during the hour.
- Typical range: 15-60 observations per hour (depends on sensor configuration)
- High count: Frequent sampling, more data accuracy
- Low count: May indicate power-saving mode, sensor errors, or partial hour operation
- Use case: Assess data density and reliability
Coverage
The percentage of the hour with valid data collection (0-100%).
- 100%: Full hour of continuous monitoring
- 50%: Data collected for ~30 minutes of the hour
- Low %: Gaps due to power-saving, offline periods, or sensor errors
- Important: Low coverage means Avg/High scores may not represent the full hour
PIR Triggers
Number of motion events detected by the Passive Infrared sensor.
- Detection: Heat signatures and movement in sensor range
- Higher count: More movement activity detected
- Purpose: Cross-validate radar data and wake device from sleep
- Note: PIR triggers ≠ people count (one person can trigger multiple events)
Battery
Average battery level during the hour, color-coded by charge state:
- Green (≥50%) - Good charge level
- Yellow (20-49%) - Low, charge soon
- Red (<20%) - Critical, charge immediately
Trend watching: Compare battery levels across hours to estimate remaining runtime.
Status
Data quality indicator for the hour:
- valid - Normal operation, data is reliable
- sensor_error - Sensor malfunction detected, data may be unreliable
- unknown - Status information not available
How to Use the Table for Analysis
📊 Pattern Recognition:
- Identify peak hours: Look for "High" or "Peak" level badges
- Check consistency: Compare Avg Score vs High Score gaps
- Validate with PIR: High activity should correlate with high PIR triggers
- Assess reliability: Check Coverage % and Status badges
⚠️ Troubleshooting Scenarios:
- Low Coverage + Low Battery: Device may be in aggressive power-saving mode
- High Score but Low PIR: Radar detected people, but minimal movement (seated crowd)
- Low Score but High PIR: Movement outside radar detection range
- sensor_error Status: Disregard scores for that hour, investigate device
Example: Reading a Table Row
Hour 14:00 | Avg: 79.8 | High: 86.0 | Level: High | Observations: 18 | Coverage: 28.2% | PIR: 54 | Battery: 19% | Status: valid
Interpretation:
- Activity: High activity period (79.8 avg, 86.0 peak) - busy hour
- Data quality concern: Only 28.2% coverage (18 observations) - data gaps present, possibly due to low battery
- Motion validation: 54 PIR triggers confirm significant movement
- Battery alert: 19% remaining - critical, needs charging immediately
- Recommendation: The activity scores are valid, but limited coverage means the full hour picture may be incomplete. Charge the device to prevent further data loss.
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