# Data Realities – IoT & mmWave Radar Sensor Fleet Platform

- Link: https://dangngocduy.vn/en/projects/data-realities/
- Published: 2026-11-10T14:14:50+07:00
- Author: Duy Dang

**FS04** is an enterprise IoT platform designed to connect, manage, and process 
real-time telemetry from over 100,000 devices. At its core, the system ingests continuous
binary data streams from **60GHz mmWave Radar (FMCW)** sensors, providing spatial
presence detection, multi-target trajectory tracking, and high-precision monitoring.

## 1. Architectural & Engineering Highlights

 * **Edge Device Client (Go & Web Serial):** The `fs04_device` Go client interfaces
   directly with mmWave sensors over USB Serial (9600 baud, 8N1). Custom binary 
   protocol parsers decode spatial X/Y coordinates and distance for up to 8 concurrent
   targets at 200ms polling intervals.
 * **Interactive 3D Visualizer (Three.js):** The client-side dashboard renders targets
   within a 3D coordinate space via Three.js, projecting movement history trails
   and zone boundaries (Zones A/B) with ultra-low latency.
 * **Decoupled Real-Time Proxy (Pushpin):** Sits at the edge to maintain open WebSocket
   and SSE connections using GRIP headers (Grip-Hold, Grip-Channel), offloading 
   stateful socket management entirely from the SvelteKit backend.
 * **High-Throughput Analytics Pipeline:** Workload isolation between PostgreSQL(
   relational metadata, ZenStack/Prisma RBAC) and ClickHouse Columnar Storage. Ingested
   raw telemetry passes through Redis Streams and Vector pods into ClickHouse Materialized
   Views, delivering sub-50ms queries across hundreds of millions of events.
 * **MQTT Batch Publishing (500x Acceleration):** Clustered publish algorithms batch
   messages into 1,000-device chunks, reducing 100k-device broadcast latency from
   30 seconds down to **0.06 seconds**.

## 2. Role & Key Responsibilities

As **Lead System Architect & Core Developer**, [Justin Dang](https://dangngocduy.vn/en/about/)
spearheaded the end-to-end real-time communication stack, hardware binary protocols,
ClickHouse schema design, and Kubernetes cloud infrastructure on GCP.

## Real-World Interface: Radar Live Preview & RDM Fleet Management

Below are live captures from the production interface of **Data Realities**, highlighting
the Sensors IoT subsystem and Remote Device Management (RDM) architected by Justin
Dang:

 [ ⌊Data Realities mmWave Radar Live Preview - 2D Spatial Grid & Zone Activity Tracking⌉ ](https://dangngocduy.vn/wp-content/themes/justin-portfolio-seo-local/assets/datarealities-sensor-live.png)

Radar Live Preview: 2D/3D Spatial Tracking Grid (8m x 8m) & Zone Activity Monitor

 [ ⌊Data Realities Sensor Hardware Configuration Interface⌉ ](https://dangngocduy.vn/wp-content/themes/justin-portfolio-seo-local/assets/datarealities-sensor-config.png)

Radar Hardware Configuration, Trigger Rules & Thresholds

 [ ⌊Data Realities RDM Fleet Device Management Interface⌉ ](https://dangngocduy.vn/wp-content/themes/justin-portfolio-seo-local/assets/datarealities-rdm-devices.png)

Centralized RDM Fleet Device Management & Real-Time Telemetry