SiNet Application
SiNet is a secure IoT data governance platform for RFID-enabled circular economy operations, developed for the South Bay Area Research Institute (SBARI) in Gilroy, California. It enables real-time tracking of reusable cups across sustainable transport and recycling networks — turning disposable waste reduction into a data-driven operation.
The Problem
SBARI's circular economy pilot for reusable cups was hampered by a legacy tracking system that couldn't handle real-time RFID event streams, had poor API performance, and a confusing interface that limited staff adoption. Cups were being lost in the system, reducing the sustainability program's measurable impact.
The Solution
A rebuilt Flask backend with optimized PostgreSQL queries and a new React frontend designed for the specific workflows of RFID scanning stations. REST API endpoints were redesigned around the actual data access patterns of circular economy operations, eliminating N+1 query problems that caused the previous system's latency.
Key Features
Challenges & Learnings
The legacy system's data model stored RFID events as flat log entries, making it impossible to reconstruct a cup's journey across multiple stations efficiently. A new event-sourcing data model was designed that materialized current cup state from an immutable event log — enabling both real-time dashboards and historical journey reconstruction without expensive full-table scans.
Business Impact
+25% data throughput, +30% user adoption, −15% API latency. Directly supports SBARI's mission to quantify and scale circular economy operations in the South Bay Area. Data from SiNet feeds into SBARI's sustainability impact reports shared with city governments.
Future Direction
Mobile app for field-worker cup scanning, predictive analytics for cup loss hotspots, and integration with city-level sustainability reporting APIs.
Tech Stack
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