Observed Signal · Jun 30, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Real-Time Physical Analytics Dashboard with Edge RFID
A technical case study describing an edge-first IoT pipeline built to deliver sub-second live analytics for a 15,000-delegate B2B exhibition in Riyadh. The solution used passive UHF RFID chips embedded in lanyards and circular-polarized antennas to capture attendee UIDs up to ~5 meters. Each antenna fed a local industrial micro‑PC (example: Intel NUC) running a Node.js daemon that performs deduplication/debouncing and publishes cleaned events to a local MQTT broker. Background processes batch and asynchronously stream MQTT messages to an AWS-hosted backend where time-series databases (InfluxDB or TimescaleDB) store telemetry. A React frontend receives updates over persistent WebSocket connections to render live SVG floor maps and sponsor dashboards. The piece emphasizes designing for unreliable external networks and partnering with local RFID vendors for procurement and deployment.
Practical case study showing an edge-first IoT architecture and MQTT-based resilience for real-time physical event analytics — relevant to experiential measurement and sponsor ROI tracking but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Project: backend for a 15,000-delegate B2B exhibition in Riyadh requiring sub-second live crowd analytics.
- Data capture: passive UHF RFID chips embedded in attendee lanyards and circular-polarized antennas reading UIDs up to ~5 meters.
- Edge layer: each antenna connects to a local industrial micro‑PC (example: Intel NUC) running a Node.js daemon that performs local deduplication/debouncing and publishes to a local MQTT broker.
- Cloud pipeline: MQTT messages are batched and streamed to an AWS environment and ingested into time-series databases (examples: InfluxDB or TimescaleDB); frontend updates are delivered via WebSockets to a React-based live SVG map.
- Edge debounce rule example: only publish a tag read if it hasn't been read in the last 10 seconds (local deduplication).
Connected Companies & Entities
2 Entities mapped“Once the MQTT stream hits our AWS environment, we pipe the data into a time-series database (like InfluxDB or TimescaleDB)....”
“Each RFID antenna is wired to a local industrial micro-PC (like an Intel NUC) running a lightweight Node.js daemon....”
Ontology Mapping & Concepts
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