Raspberry Pi 5 Industrial Compressed Air Leak Detector: AI-Powered Ultrasonic Leak Classification

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Compressed air leaks cost Indian factories thousands of rupees every month, with pinhole defects emitting high‑frequency ultrasonic signatures that maintenance teams often miss. This kit puts a professional‑grade diagnostic tool into your hands: a portable detector built around a Raspberry Pi 5 and MEMS ultrasonic microphone that captures those ultrasonic hisses, processes them through a high‑resolution ADC, and runs an on‑device machine learning model to classify leak size instantly. Use it to perform energy audits, prototype industrial IoT condition monitoring, or fuel a Smart India Hackathon solution with real‑world sensing and edge AI.

What You'll Build

You'll assemble a handheld industrial leak scanner that streams ultrasonic signals from compressed air lines into an ADS1115 analog‑to‑digital converter, then onto a Raspberry Pi 5 for real‑time analysis. A lightweight ML classifier, trained on leak signature patterns, labels each detected leak as small, medium, or large and logs the event to the onboard NVMe SSD. The system can feed live data to a web dashboard or a Node‑RED flow, turning your Pi into a connected energy‑saving monitor.

What You'll Learn

• Acquire and condition ultrasonic signals using a MEMS microphone for industrial sensing
• Interface an I2C ADC (ADS1115) with Raspberry Pi 5 to digitize high‑frequency audio
• Train and deploy a compact machine learning model for on‑device audio classification
• Build an IoT data pipeline that logs leak events to NVMe storage and visualizes trends

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is built for CBSE Class 11–12 science students exploring AI‑driven sensor fusion, B.Tech ECE/EEE undergraduates tackling industrial automation projects, and Smart India Hackathon teams racing to build energy‑efficient prototypes. It fits the curriculum needs of engineering colleges like IIT, NIT, VIT, and BITS, where edge AI and IoT are driving final‑year innovation.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.