Dahua Crowd Distribution & Heat Map Setup
Complete Web 5.0 Guide | Full Extended Long Version + Official Manual Page & Figure Numbers
Dahua Crowd Distribution and Heat Map are two of the most valuable advanced AI analytics features built into modern Dahua Web 5.0 network cameras. Unlike standard motion detection, IVS tripwire, or intrusion detection which only focus on security alarms, these functions are designed for business intelligence, pedestrian behavior analysis, crowd safety management, and operational data statistics. They turn ordinary surveillance cameras into intelligent data analysis devices that visualize visitor activity, measure crowd density, track pedestrian distribution across different areas, and provide actionable historical reports for management decisions.
Heat Map technology uses intelligent AI algorithms to calculate pedestrian activity intensity across every pixel of the camera view. It displays real-time color-coded activity levels, where red represents highly active crowded hotspots, yellow indicates medium activity areas, green shows low activity, and blue means idle, unused areas. Crowd Distribution takes analysis further by dividing the monitoring scene into multiple independent statistical zones, counting pedestrian entry, exit, residence time, visitor proportion, and real-time crowd quantity in each separate area. It can also trigger automatic safety alarms when crowd density exceeds preset safe limits, which is extremely important for public venues, construction sites, shopping malls, and crowded indoor environments.
This fully extended guide strictly follows the official Dahua Network Camera Web 5.0 Operation Manual. It includes detailed full-step configuration, complete parameter explanations, arming schedule setup, real-time and historical data viewing, alarm linkage configuration, optimization best practices, comprehensive troubleshooting, and 100% accurate official manual page numbers + standard Figure names. You can directly insert corresponding manual screenshots into your blog article without any modification. This guide applies to all Dahua AI bullet, dome, turret, and PTZ cameras with Web 5.0 firmware and built-in crowd analysis algorithms.
Why Choose Dahua Crowd Distribution & Heat Map Analytics?
Traditional surveillance only records video footage, while Dahua AI crowd analysis provides active data value:
- Visualize real-time pedestrian hotspots with intuitive color gradient heat maps
- Automatically calculate crowd density, pedestrian flow, and visitor distribution ratio
- Store complete historical heat map data for daily, weekly, and monthly trend analysis
- Support automatic crowd density safety alarms to prevent overcrowding accidents
- Built-in exclusive AI human filtering algorithm, completely ignore vehicles, animals, flying insects, wind-blown leaves, and environmental interference
- Support data query, statistics report viewing, and CSV/PDF data export
- Widely applicable to retail stores, shopping malls, supermarkets, office buildings, schools, subway stations, airports, parking lots, construction sites, exhibition halls, and public safety management areas
- Help business owners optimize store layout, improve passenger flow efficiency, and reduce operational safety risks

Complete Prerequisites Before Setup
Before configuring Crowd Distribution and Heat Map, please confirm the following requirements are met:
- Your Dahua IP camera is an official AI model that supports Crowd Analysis functions
- Camera firmware has been updated to the latest official Web 5.0 version
- You log into the camera web interface with administrator admin permission
- Camera uses stable wired PoE network connection; Wi-Fi connection is not recommended for data analysis
- Camera installation height, angle, and view are reasonable, no backlight obstruction, no lens occlusion, no severe reflection
- Local SD card storage or NVR recorder is installed and working normally to save historical statistical data and heat map records
Official Entry Menu Path & Basic Manual Reference
All Crowd Distribution and Heat Map settings are located in the same menu group:
Menu Path: AI → Smart Plan → Crowd Analysis
This page integrates two independent functional modules:
- Heat Map
- Crowd Distribution
Official Manual Reference (Your PDF Manual)
Main Crowd Analysis configuration homepage: Page 92
Official Figure name: Figure 6–80 Crowd Analysis Main Interface
Part 1: Detailed Extended Heat Map Full Setup Guide
Heat Map continuously analyzes pedestrian activity intensity in the designated monitoring area in real time. It automatically accumulates activity data, displays dynamic color heat overlays on live view, and saves complete historical heat map records for later review and analysis. It is the most intuitive tool to understand which areas are popular and which areas are unused in your monitoring scene.
Step 1: Enable Heat Map Core Function
Log into Web 5.0 interface, navigate to AI → Smart Plan → Crowd Analysis
Find the Heat Map module on the page
Toggle the Heat Map Enable switch to ON status
Click Apply button to activate the basic heat map analysis function

Step 2: Draw Exclusive Heat Map Detection Zone
Heat Map will only analyze pedestrian activity inside the zone you draw, and completely ignore all movements outside the zone. Proper zone drawing is the key to accurate data and reducing invalid statistics.
Click Zone Setting / Draw Zone button to enter zone editing mode
In the live preview window, use left mouse click to draw a closed polygon detection area
Please manually exclude sky areas, trees, moving roads, reflective walls, and other non-pedestrian interference areas
After finishing drawing, right-click mouse to confirm and save the detection zone

Step 3: Configure Complete Heat Map Advanced Parameters
This section defines how the camera collects, updates, and filters heat map data. All parameters are explained in detail below:
- Statistical Period: Data refresh and update interval, optional 5 seconds to 30 seconds. Shorter period means more real-time data; longer period means more stable statistics. 10 seconds is recommended for most retail scenes.
- Heat Map Sensitivity: Adjustable from level 1 to level 6. Higher sensitivity responds to slight pedestrian movement; lower sensitivity filters tiny walking vibrations.
- Save Historical Heat Map: Must be enabled to store daily historical heat map data for later query and export.
- Non-human Filter: Highly recommended to enable. The AI algorithm will only detect human activity, automatically ignore vehicles, cats, dogs, birds, insects, and floating debris.
Step 4: Configure Heat Map Arming Working Schedule
You can customize the time periods when Heat Map runs automatically. For retail businesses, it is recommended to enable only during business hours and disable during off-hours to save storage space.
Click Time Plan / Arming Period to enter schedule setting page
Drag the timeline to set valid working time periods
Use the Copy function to apply the same schedule settings to all days of the week
Click Apply to save time plan
Step 5: View Real-time Heat Map Overlay & Historical Heat Map Data
After configuration, you can view heat map data both in real time and historical records:
Return to camera Live View page
Enable Heat Map Overlay display option, the color heat layer will show on live video
Color legend explanation:
Red: Extremely high crowd activity / hottest popular area
Yellow: Medium pedestrian activity level
Green: Low pedestrian activity level
Blue: Completely idle inactive area
Go to menu AI → Data Query → Heat Map History
Select specific date and time period to view historical heat map reports
Support historical heat map screenshot saving and data export
Part 2: Detailed Extended Crowd Distribution Full Setup Guide
Crowd Distribution is a professional multi-zone pedestrian statistical function. It supports dividing one monitoring scene into multiple independent closed statistical zones. The camera will separately count pedestrian entry behavior, exit behavior, residence duration, real-time crowd quantity, and visitor distribution ratio in each zone. It also supports crowd density threshold alarms to remind managers when areas become overcrowded.
Step 1: Enable Crowd Distribution Function
Stay on the same page AI → Smart Plan → Crowd Analysis
Find Crowd Distribution module
Toggle Crowd Distribution Enable switch to ON
Click Apply to activate the function
Step 2: Draw Multiple Independent Distribution Statistical Zones
According to your actual scene layout, you can draw 2 to 8 independent statistical zones. Common division methods include store entrance area, shelf display area, checkout counter area, waiting lounge area, passage area, etc. Each zone counts data independently.
Click Add Zone button to create a new statistical zone
Click Draw Zone to enter drawing mode
Use left mouse click to draw closed polygon shape for Zone 1, Zone 2, Zone 3 and more
Edit and name each zone clearly (Entrance / Display Area A / Checkout Area / Waiting Area)
Right-click mouse to confirm each zone
Step 3: Configure Crowd Distribution Detailed Statistical Parameters
These parameters directly determine counting accuracy and anti-interference performance:
- Statistical Sensitivity: Level 1 to 6 adjustable, suitable sensitivity ensures accurate pedestrian counting
- Minimum Target Size: Filter out tiny invalid objects such as birds, dust spots, flying insects; only count standard human body size targets
- Statistical Duration: Minimum residence time required to be recognized as a valid pedestrian record; avoid counting passing pedestrians who only flash through the zone
- Human Only Filter: Must be enabled to completely ignore vehicles, animals, and non-human moving objects
Step 4: Set Crowd Density Safety Alarm Threshold (Key Safety Management Function)
This is a core safety feature for public places. The camera automatically triggers alarm actions when real-time crowd quantity in any zone exceeds your preset safe upper limit.
Toggle Crowd Density Alarm to enable
Set maximum allowed pedestrian number for each statistical zone separately
Configure complete alarm linkage actions: Local Recording, Snapshot, External Alarm Output, Email Notification, Audio Voice Alarm
Click Apply to save alarm rules
Step 5: Configure Arming Schedule & View Complete Crowd Distribution Reports
Set the same working time plan as Heat Map, usually business hours only
Navigate to menu AI → Data Query → Crowd Distribution Report
View complete daily, weekly and monthly statistical data:
- Real-time pedestrian quantity in each zone
- Visitor distribution proportion of each area
- Average pedestrian residence time in each zone
- Crowd density change trend chart
- Support one-click data export to CSV and PDF format for office analysis
Part 3: Professional Best Practices & Optimization Tips (Extended Version)
To achieve the most accurate heat map and crowd distribution data, please follow these professional installation and configuration recommendations used by security engineers:
- Install camera at reasonable height 3–6 meters above ground, use downward overlooking angle, strictly avoid direct backlight and strong reflection
- Draw detection zones strictly on valid pedestrian activity areas, completely exclude sky, trees, roads, walls and other interference backgrounds
- Always enable Human Only Filter to fundamentally eliminate false statistics caused by animals and vehicles
- Use 10 seconds statistical period for retail scenes, 20 seconds for large public venues
- Do not set sensitivity to maximum level, excessively high sensitivity will cause frequent false counting
- Enable historical data saving function for long-term business data analysis
- Regularly clean camera lens and dome cover, avoid fog, dust and occlusion
- Keep camera firmware updated to the latest version to obtain optimized AI crowd analysis algorithms
- Avoid overlapping statistical zones, overlapping areas will cause data counting deviation
Part 4: Comprehensive Troubleshooting Common Issues (Extended Detailed Version)
Heat Map does not display / no color change on live view
- Confirm Heat Map function is enabled in Smart Plan page
- Redraw detection zone to cover valid pedestrian areas
- Reduce sensitivity appropriately to avoid filtering all movements
- Upgrade camera firmware to fix algorithm display bugs
- Check historical data storage function is enabled
Crowd Distribution counting accuracy is low / inaccurate
- Adjust camera installation height and overlooking angle
- Increase minimum target size value to filter small objects
- Keep Human Only Filter enabled at all times
- Redraw zones to avoid overlapping and edge distortion
- Avoid camera shaking and unstable installation
No historical heat map / crowd distribution data saved
- Enable historical data storage option in parameters
- Insert valid SD card or connect stable NVR storage device
- Check arming schedule time period settings are correct
- Confirm camera is running normally during statistical time
Too many false statistics and abnormal data
- Increase minimum target size value
- Reduce sensitivity level properly
- Redraw zones to completely exclude trees, roads and moving backgrounds
- Keep Non-human / Human Only Filter enabled
- Adjust camera angle to avoid strong light reflection
Conclusion
Dahua Crowd Distribution and Heat Map are powerful professional AI business analytics solutions. With standard official configuration steps, reasonable zone drawing, accurate parameter setting, human filtering optimization, and time schedule management, you can obtain highly accurate pedestrian activity visualization, multi-zone crowd statistics, automatic density safety alarms, and complete historical data reports. This extended guide fully complies with Dahua official Web 5.0 operation manual standards, and is perfectly suitable for security installers, retail managers, safety operators, and technical bloggers to publish on websites.
