Real-Time Anomaly Detection with Pi 5 Neuromorphic IoT Kit

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

This kit enables you to build a complete neuromorphic IoT system where three ESP32 nodes stream real-time sensor data to a Raspberry Pi 5 running a spiking neural network (SNN). Unlike conventional rate-coded ANNs that batch-process data, the SNN reacts to each spike individually, achieving ultra-low latency anomaly detection - critical for applications like predictive maintenance or intrusion alerts. You'll configure sensor nodes, design spiking neuron populations, and directly benchmark SNN responsiveness against a traditional ANN on the same hardware.

What You'll Build

You'll assemble a distributed event-processing pipeline. Three ESP32 boards with attached sensors detect motion, vibration, temperature, light, sound, and gas levels, then transmit spike-encoded events to the Pi 5. The Pi 5 runs an SNN built using Brian2 or Nengo, identifying anomalies the moment they occur - not seconds later. You'll visualize spike rasters, measure inference latency, and compare with a rate-coded ANN you implement in parallel, gaining hard data on the performance gap.

What You'll Learn

• Design spiking neuron models (LIF, Izhikevich) and encode sensor data as spike trains for real-time processing.
• Configure ESP32 microcontrollers to acquire multi-sensor data and transmit spike events over MQTT.
• Benchmark SNN vs. rate-coded ANN for anomaly detection latency, throughput, and energy efficiency on the Pi 5.
• Deploy NVMe SSD storage for high-speed logging of spike events and detection results.

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This advanced kit is designed for B.Tech ECE/EEE and M.Tech AI/IoT students tackling final-year or capstone projects that demand hardware-level neural computation. It's equally suited for research scholars at institutions like IISc, IITs, or NITs prototyping edge neuromorphic solutions, and for Smart India Hackathon teams building real-time anomaly monitors. Industry professionals exploring event-driven AI for industry 4.0 will find a reproducible benchmark platform inside.

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.