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Heartbeat-Sentinel: Building a Raspberry Pi-Powered 'Doomsday Detector' for Civilizational Resilience

Heartbeat-Sentinel: Building a Raspberry Pi-Powered 'Doomsday Detector' for Civilizational Resilience

In an era where internet outages and cloud failures can mask real-world collapse, the open-source Heartbeat-Sentinel project uses a Raspberry Pi and software-defined radio to monitor physics-based signals like power grids, air traffic, and cellular beacons. This system detects if civilization is truly functioning—without relying on the brittle internet—offering a lifeline for edge resilience. It’s a provocative blend of hardware hacking, anomaly detection, and ethical engineering that forces developers to confront technological fragility.

Beyond the Breadboard: The Daunting Journey from Raspberry Pi Prototype to Production-Ready IoT

Raspberry Pi and similar tools have revolutionized IoT prototyping, allowing developers to quickly build functional devices with minimal resources. Yet, scaling these prototypes into secure, certified, and mass-producible products involves formidable challenges like regulatory compliance, automated manufacturing, and embedded security. This article examines the hurdles in IoT productization and how emerging platforms aim to streamline the path from tinkering to market.

Retrofitting Retro Rides: How Compose MPP Powers a Custom BMW Infotainment System

A developer has breathed new life into a 2001 BMW's cassette-era display by building a custom infotainment system using Kotlin Multiplatform Compose. The project integrates a Raspberry Pi, Matrix chat client, and the car's original rotary knob—demonstrating Compose MPP's potential in embedded systems and unconventional interfaces.
Inside PiTrac: The $300 DIY Golf Launch Monitor Powered by Raspberry Pi and OpenCV

Inside PiTrac: The $300 DIY Golf Launch Monitor Powered by Raspberry Pi and OpenCV

An ambitious open-source project leverages Raspberry Pi 5, OpenCV, and custom 3D-printed hardware to build an affordable golf launch monitor. Developers confront hardware integration, computer vision algorithms, and cost optimization challenges to bring professional-grade swing analysis within reach of hobbyists.