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SparkleNET Corridor Guardian:
Edge Telemetry & Object Detection Prototype
Project Overview & Engineering Objective
The Corridor Guardian is a lightweight, edge-computed telemetry sandbox designed to simulate real-time object detection and status monitoring completely offline.
Engineered to test high-resilience IoT and data pipelines without relying on continuous cloud connectivity, this prototype highlights zero-latency systems architecture at the edge.
Technical Architecture & Implementation
* Sandbox Environment: Deployed a local 1-Node Lab Sandbox utilizing Termux running directly on an Android device for hardware-agnostic edge simulation.
* Messaging & Communication Protocols: Integrated MQTT messaging pipelines to handle low-overhead telemetry ingestion and real-time event dispatching.
* Workflow Automation: Leveraged n8n data flows to orchestrate asynchronous data routing and local event-handling loops.
* Edge Scripting & Directory Mapping: Programmed a custom Python edge-loop script that maps local directory trees to simulate live object detection telemetry streams under completely offline conditions.
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While I've FE skills, they were limited in most cases; I've tried a new MCP server system inside Figma, and with VSC and Claude, I was able to pull out my design, put more detailed meaning to it and run it fully with interactions. While I'm against the ML systems to some degree, my approach is to use that as a tool to solve my technical problems. And my design project became a fully functional project. I believe designers will evolve their mindset to create more valuable products with more extensive tool options.
Let me know what do you think =)
Full case study on Behance: https://lnkd.in/dNd_PRqu
Live demo: https://lnkd.in/d2cp9mcN
Amazing! Great Work! 👍
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