Python featured

MS IoT Dentist CAN Relay

A project I worked on during an internship, which focused on parsing, and relaying can information from embedded systems within dental treatment chairs.

GitHub

repository

Kavo MS IoT Platform (v2.0)

Author: Luke Garceau

The Kavo MS IoT Platform is a multi-threaded edge computing system designed to bridge real-time CAN bus data from medical equipment to Azure IoT Central. The platform captures raw hexadecimal CAN messages, converts them into engineering-meaningful metrics, ensures reliable cloud synchronization, and maintains local persistence for resilience and traceability.

Overview

This project was built to solve a real-world industrial IoT problem: transforming low-level machine communication into structured, cloud-ready telemetry while maintaining reliability in unstable network environments.

The platform performs five primary functions:

Read CAN messages in real-time
Convert raw hex values into engineering variables
Maintain synchronization with the cloud
Transmit telemetry and properties to IoT Central
Persist raw CAN data locally for auditing and recovery

Architecture & Design

The system is built using a parallel, multi-threaded architecture. Each major responsibility runs in its own thread, allowing concurrent execution and improved performance.

Core Threads

CAN Bus Reader
Hex-to-Engineering Interpreter
Data Recorder (CSV logger)
IoT Central Sender
Service/Connection Monitor

Thread communication is handled using shared constant (mutex-protected) variables to ensure safe cross-thread data access.

Shared Variables

The system relies on shared in-memory queues:

const.CAN_DATA — Raw CAN messages awaiting interpretation
const.MSG_TO_SEND — Formatted telemetry queued for cloud transmission
const.MSG_TO_RECORD — Raw CAN messages queued for CSV logging

This decoupled queue-based design ensures modularity and clean separation of concerns.