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Raspberry Pi: The End-to-End IoT Hardware Stack

From Coding Toy to Industrial Backbone


Chances are, you’ve heard about Raspberry Pi.


Maybe you used one in a school project. Maybe your kid did. Perhaps you've seen it featured in Maker videos on YouTube. What started in 2012 as a $35 educational computer to teach kids programming has now grown into something far bigger.


However, most people are unaware that Raspberry Pi has quietly transformed into one of the most versatile and potent platforms for developing comprehensive Internet of Things (IoT) solutions.


Yes, the same tiny board you once used to play retro games now powers factory monitoring systems, smart greenhouses, environmental data loggers, and commercial-grade IoT gateways. It’s inside rugged enclosures in warehouses. It’s mounted in classrooms with 42” displays. It’s helping engineers monitor laser cutters in Idaho and water systems in California government buildings.


So how did we get here?


A Quick Backstory

A very specific problem—kids were no longer learning how computers worked—led to the creation of Raspberry Pi. The Raspberry Pi Foundation, a UK-based nonprofit, set out to build an affordable, hackable device to bring computing education back to life.


The bet worked — big time.


Over 50 million Raspberry Pi boards have been sold as of early 2025. But along the way, something unexpected happened: engineers, tinkerers, and even enterprise professionals started using them to solve real problems.

  • They're inexpensive.

  • They're versatile.

  • And they’ve built up one of the most passionate ecosystems in tech.


Now, thanks to a wide range of compute modules, microcontrollers, carrier boards, and industrial SBCs, Raspberry Pi isn't just an educational tool. It’s a complete IoT hardware platform— with a Pi for every part of the IoT stack.



Image of Raspberry Pi 1B+ and Seeed recomputer AI
From the humble educational computer to powerful edge AI enabler. Image credits: Raspberry Pi & Seeed

Understanding the IoT Stack—Turning the Physical World into Smart Data


So what does “end-to-end IoT” really mean?


At its core, an IoT system turns the physical world into digital data—and then turns that data into decisions, insights, or actions. That journey happens across three critical layers:


1. Device Layer: Smart Sensors, Actuators & Microcontrollers

This is where the real world meets digital logic.

  • Sensors detect physical inputs — temperature, motion, vibration, light, humidity, CO₂, etc.

  • Actuators create physical responses — turn on a fan, close a valve, or adjust lighting.

  • Microcontrollers gather the data from sensors, process it locally, and transmit it over a network.


This layer is the “sense + talk” part of IoT.


Common Examples:

  • Soil moisture sensors in farms

  • CO₂ sensors in classrooms

  • Vibration sensors on manufacturing equipment


2. Network Layer: IoT Gateways

Gateways collect sensor data and route it to where it needs to go — the cloud, a local server, or an edge computer.

They act as protocol translators and mini-data centers, handling:

  • Aggregation of data from multiple devices

  • Protocol bridging (Modbus, Zigbee, LoRa, MQTT, etc.)

  • Data filtering and pre-processing

  • Secure network communication


This layer is the “connect + control” brain.


3. Edge Compute Layer: Local Analytics, AI & Automation

Here’s where raw data becomes meaningful.

Edge compute devices analyze sensor data close to the source, reducing the need for cloud dependency. They:

  • Detect patterns and trigger alarms

  • Run machine learning models

  • Visualize data dashboards

  • Automate responses in milliseconds


Think of this level as the “think + act” layer.


A block diagram showing key components of an end-to-end IoT stack
Key components of the IoT stack


Why it Matters: An effective IoT platform isn’t just about one part of the chain. It’s about mastering the whole flow, from sensing the world to responding in real time — all while keeping data ownership, flexibility, and cost in check.

That’s where Raspberry Pi shines.


How Raspberry Pi Powers Every Layer of the IoT Stack


1. Smart Sensor Layer — Raspberry Pi RP2350 & Pico 2 W

When you need to turn a simple sensor into a smart, wireless, connected device, Raspberry Pi Pico 2 W is your go-to board.

Powered by the RP2350 chip, this microcontroller brings serious upgrades:

  • Dual-core Cortex-M33 @ 150 MHz—2× the performance of RP2040

  • Wi-Fi (802.11n) + Bluetooth 5.2

  • 4 MB onboard flash, 512 KB SRAM

  • Native support for MicroPython, C/C++, CircuitPython


With built-in wireless, it’s easy to collect sensor data and send it over MQTT, HTTP, or TCP — no shield or hat needed.


Real-World Use Case: Connect a temperature sensor to Pico 2 W and have it report data every 10 seconds to a local dashboard running Machinechat JEDI over Wi-Fi. Done in under 15 minutes. No cloud. No server. No headaches.

Machinechat JEDI Pairing

  • Use the HTTP API or MQTT collector on JEDI to receive data from Raspberry Pi Pico 2 W.

  • Display it instantly on a live dashboard.

  • Set up rules: If temp > 85°F, send an alert or turn on a fan.



How to send data from Raspberry Pi Pico 2 W to Machinechat JEDI
Build smart sensors with Raspberry Pi Pico 2 W. Image credits: Raspberry Pi & Seeed


2. IoT Gateway Layer — Raspberry Pi 5, CM4, and CM5

The gateway layer is where Raspberry Pi’s versatility really shines.


Raspberry Pi 5 as a DIY Gateway

  • Quad-core Cortex-A76 @ 2.4GHz

  • Gigabit Ethernet + USB 3.0

  • PCIe support and dual 4K HDMI

  • Runs full Linux (Raspberry Pi OS, Ubuntu, or OpenWRT)


Want to build a smart building hub, edge router, or field data gateway?


Just flash OpenWRT on a Pi 5 and install JEDI. Connect the protocol module or an RS485 interface, and you’ve now got a gateway that supports LoRa, Zigbee, Modbus, MQTT, Ethernet, and USB sensors — all in one box.



Image showing OpenWRT running on Seeed reRouter
seeed reRouter: IoT gateway powered by Raspberry Pi Compute Module (CM) 4


Compute Module 4 (CM4) and Compute Module 5 (CM5)

These modules put the power of Raspberry Pi into embedded products:


Real-World Gateways Built on CM4:




CM5 is now appearing in newer industrial edge gateways, unlocking faster data transfer, AI inferencing, and PCIe expansion.


Machinechat JEDI Pairing

  • Install JEDI directly on CM4/CM5-based gateways (<30MB application size, no external dependencies)

  • Collect data from Modbus sensors, serial interfaces, or wireless devices

  • Use JEDI's built-in rules engine to filter, alert, and automate actions — no cloud, no code



A block diagram showing how Machinechat JEDI upgrades IoT Gateways
Machinechat JEDI upgrades any Raspberry Pi CM4 IoT gateway into an IoT command center without any external software or cloud dependencies

3. Edge Compute Layer — Raspberry Pi 5, CM5, and Industrial SBCs

Edge computing is about turning raw data into local decisions. Fast.


Raspberry Pi 5

  • Handles local AI models (Edge Impulse, TensorFlow Lite)

  • Edge data processing (Node-RED, Python scripts)

  • Use it for object detection, anomaly detection, or localized trend analysis


CM5 in Industrial SBCs


These systems bring the Raspberry Pi’s brain to rugged, always-on deployments — from factory floors and smart buildings to farm silos.





Machinechat JEDI Pairing

  • Run JEDI as a local edge server

  • Visualize and analyze all data on-device

  • Trigger outputs via GPIO, serial, or Modbus based on rules and analytics

  • Generate CSV or HTML reports for local teams



Machinechat JEDI running on Seeed reTerminal DM
Machinechat JEDI running on Raspberry Pi CM4 based Seeed reTerminal DM

Machinechat JEDI — The IoT Glue That Binds It All


Hardware is just the beginning. What turns a handful of sensors, a Pi board, and some wires into a working IoT solution?

The answer is software. But not just any software — it needs to be:

✅ Easy to install

✅ Lightweight and fast

✅ Flexible across protocols

✅ Secure and local

✅ Professional-grade, yet beginner-friendly


Enter Machinechat JEDI— the all-in-one IoT application designed to run on everything from a Raspberry Pi IoT gateway to a powerful industrial SBC.


What is JEDI?

JEDI stands for Just Enough Data Intelligence— and that’s precisely what it delivers.


It’s a single, standalone application (under 30MB!) that gives you everything you need to go from sensor to solution.


With JEDI, you can:

  • Acquire data in real-time from sensors (via MQTT, HTTP, Modbus, Serial, etc.)

  • Visualize it instantly on customizable dashboards

  • Create rules and automations — trigger emails, log events, turn devices on/off

  • Transform and translate data with built-in math, logic, and lookup tables

  • Store time-series data in clean CSVs organized by date

  • Generate reports, alerts, and historical analysis — on demand or scheduled

  • Access it all via browser — desktop, mobile, tablet, or even a wall-mounted display


Why It Works So Well with Raspberry Pi

  • Runs on Pi: Raspberry Pi 4 or 5 (gateway or edge server), CM4/CM5 (embedded + industrial)

  • No dependencies: Doesn’t need external databases, servers, or cloud access

  • Offline-first: Ideal for remote deployments or air-gapped environments

  • Zero config data collection: Works out-of-box with most popular protocols

  • Visual + Scriptable: No-code dashboards + support for executing custom scripts



A collage of screenshots showing Machinechat JEDI dashobards
Customizable dashboards, monitoring, and reports—all from one lightweight app built for Raspberry Pi, with no cloud or external software dependencies

 


JEDI running on a Raspberry Pi connected to a 4K monitor
JEDI running on Raspberry Pi connected to a 4K monitor over HDMI


🚀 With JEDI, every Raspberry Pi becomes more than hardware — it becomes a complete, local-first IoT system that’s ready for the real world.


Get JEDI up and running on your Raspberry Pi in 5 minutes

Raspberry Pi + JEDI: The Platform for Builders, Makers, OEMs, and Educators


Whether you're a solo tinkerer or running a product team — the same question applies:


How fast can I go from prototype to production without sacrificing control, quality, or cost?


That’s precisely what Raspberry Pi and Machinechat JEDI deliver:

✅ Rapid development

✅ Local control

✅ Enterprise flexibility

✅ Education-ready accessibility


Let’s break it down.

 

For Builders and Engineers

You’ve got sensors. You’ve got ideas. You need a reliable platform that doesn’t lock you into cloud APIs, endless Docker setups, or proprietary walled gardens.


Why it works:

  • Plug in sensors → see data live in JEDI within minutes

  • Run everything locally on Raspberry Pi — no cloud required

  • Trigger automations, generate alerts, and log everything for compliance or insight

  • Scale from breadboard to enclosure without rewriting your stack

 

For OEMs and Hardware Vendors

You're building IoT devices — microcontroller boards, gateways, and edge computers. Your customers want immediate results. You want to stand out.


Why it works:

  • Bundle JEDI with your product for an out-of-box dashboard experience

  • Works with Raspberry Pi CM4 and CM5 — perfect for embedded gateway products

  • Supports custom branding — your logo, your look, your value

  • No ongoing cloud costs — ship a smart, standalone appliance


For Educators and STEM Programs

Expensive kits or cloud subscriptions shouldn't be a barrier to teaching IoT. With Raspberry Pi and JEDI, it doesn’t have to be.


Why it works:

  • Raspberry Pi 500 offers a low-cost, all-in-one classroom PC

  • JEDI runs locally — no internet required

  • Students learn how sensors, software, and data interact in the real world

  • Visual, interactive dashboards teach logic, cause-and-effect, and systems thinking

 

For Makers and Data Enthusiasts

You’re curious. You love solving problems. Maybe you want to track your greenhouse, build a smart compost sensor, or log CO₂ levels in your home office.


Why it works:

  • Raspberry Pi Zero 2 W + JEDI = full IoT server in your pocket

  • Integrates with anything: MQTT, HTTP, Modbus, Serial

  • Build automations with sliders, toggle switches, and rules — all without writing code

  • Export your data in CSV for analysis or journaling


🧠 Bottom Line: Whatever stage you're in — learning, building, shipping, or teaching — Raspberry Pi + Machinechat JEDI gives you a reliable, scalable, and future-proof way to bring your IoT ideas to life.

 

Raspberry Pi: From Simple Boards to Smart Systems

What started as a $35 board for kids has become the most complete, flexible, and accessible IoT hardware platform on the planet.


And now, when paired with Machinechat JEDI, Raspberry Pi gives anyone — from engineers to educators — the tools to:

✅ Sense the physical world

✅ Process and visualize data locally

✅ Automate smart actions and decisions

✅ Scale from prototype to production without rework


Let’s recap the end-to-end IoT journey:

This is not hypothetical. This is happening right now — in greenhouses, steel mills, bakeries, homes, and classrooms.


Why It Matters Now

  • Time to market is decreasing—so you need tools that function immediately.

  • Cloud costs are climbing— owning your stack saves you money.

  • Data privacy is critical— JEDI keeps your data local.

  • Infrastructure is getting smarter— and Raspberry Pi is leading the charge.


With JEDI, your Raspberry Pi isn’t just a dev board — it’s a complete IoT platform, ready to connect the physical world with the power of smart data and human insight.


Ready to Build Something Real?

👉 Get started with JEDI: Download Machinechat JEDI

👉 Choose your Pi: Browse Raspberry Pi models

👉 Level up fast: Connect a sensor, fire up JEDI, and see your world in data — in under 10 minutes.



An image showing Raspberry Pi: end-to-end IoT hardware stack
Raspberry Pi: The End-to-End IoT Hardware Stack

🎯 From garage projects to global factories — Raspberry Pi + JEDI gives you everything you need to sense, think, and act. Anywhere. Anytime. Your way.

 
 
 

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