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Edge-Inference Pipeline for a Smart-Factory Vibration Monitor

FreeVerified credential4 weeksAdvanced

Overview

What this challenge is about.

Build an edge-inference pipeline for a smart-factory vibration monitor and deliver firmware plus evaluation report to earn your verifiable certificate.

The scenario

The Nagoya machinery manufacturer (around JPY 24B revenue, sells primarily to Toyota-tier auto + aerospace shops) is migrating from a paid third-party condition-monitoring service to an in-house edge architecture — vendor lock-in cost JPY 90M last year.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Run vibration anomaly detection on-device on ESP32-S3 with under 1 percent false-positive weekly and under 1 MB/day MQTT egress per machine.

Earning criteria — what you'll demonstrate

  • Design a multi-stage edge-inference pipeline on constrained MCUs
  • Quantize/distill ML models to fit edge memory + latency budgets
  • Evaluate cyber-physical systems with operationally relevant metrics
  • Specify deployment architectures that respect network + power constraints

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Internet of Things and Cyber-Physical Systems

Master · Embedded And Iot

Strong alignment

This challenge maps to Internet of Things and Cyber-Physical Systems at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.