Total Sensors
5
Online
5
Offline
0
Today's Visitors
86424
β‘ 1,000 virtual sensors, concurrent ingestion β load proof
See ingestion throughput and loss rate in numbers. (Measured with a self-generated signal, no external API.)
Not run yet. Click the button to measure throughput and loss for 1,000 concurrent sensors.
Visitor Trend
Offline Sensor Alerts
All sensors operating normally
Overview
Foot-traffic analytics
What FootFlow is
FootFlow is a SaaS foot-traffic analytics platform that ingests and aggregates Milesight (MQTT) and FLIR (Webhook) sensor data in real time, presenting per-store and per-floor visitor counts, occupancy and trends on a single dashboard. It supports multi-site, multi-floor structures with built-in 4-tier RBAC.
What you can do
| Category | Items | Type |
|---|---|---|
| β Core | Sensor ingestion (MQTT, Webhook), live dashboard, heatmap, trends, 4-tier RBAC, multilingual (KO/EN/JA), Excel export | Core |
| β Advanced | Floor-plan view, floor analysis, visitor-type analysis, zone flow, similarity analysis, Telegram alerts | Advanced |
| β Not in this demo | Mobile app, POS integration, camera vision analysis, external ERP integration | N/A |
How data flows
Milesight
MQTT
MQTT
β
FLIR
Webhook
Webhook
β
Ingest
FastAPI
FastAPI
β
PostgreSQL
Aggregate
Aggregate
β
Dashboard<br>live
β
Excel<br>export
1-min interval | up to 1,000 sensors | auto offline detection | imputation before aggregation
Technical features
Dual protocol
MQTT + Webhook simultaneously. Vendor-agnostic integration.
Anomaly imputation
On sensor fault, auto-estimates via adjacent-zone ratio + sales cross-check.
Similar-pattern analysis
Cosine similarity finds past similar days for operational forecasting.
Multilingual SaaS
KO/EN/JA dynamic switch, persisted, extendable with one JSON file.
About the demo data
β οΈ The figures shown are example data generated by a simulator, not real sensors.
Real-device integration (Milesight, FLIR, etc.) is built on standard protocols (MQTT 3.1.1, HTTP Webhook), so it works the same once configured for on-site hardware.
Real-device integration (Milesight, FLIR, etc.) is built on standard protocols (MQTT 3.1.1, HTTP Webhook), so it works the same once configured for on-site hardware.
Built with
Tech stack
Python Β· FastAPI
MQTT (Mosquitto)
Webhook (XML/JSON parsing)
PostgreSQL Β· time-series aggregation
APScheduler batch
4-tier RBAC Β· JWT
Jinja2 SSR Β· Chart.js
i18n (KO/EN/JA)
Docker Β· Railway deploy