PetFeeder
A Raspberry Pi with microSD card and reader is required.
A stepper motor, motor driver, and 12V power supply are needed.
A USB webcam enables computer vision and image processing.
A machine learning model is trained on pet images via the Viam app.
It deploys treats upon pet detection and is rated as easy difficulty.
The Raspberry Pi 5 handles the faster clock speeds for smoother image processing and response times.
AssistantRobot
A rover base, camera, ultrasonic sensors, and batteries are used.
An ML model detects people and objects for navigation.
The detection camera and obstacle avoidance logic are configured.
It delivers beverages or snacks between home rooms.
Difficulty level: Intermediate makes this ideal for expanding AI skills.
SecurityCamera
The Viam app installs viam-server on a Raspberry Pi.
The camera component is configured for family face detection.
A dataset is created from captured family images.
A trained model facilitates facial verification and alarm disarm.
It sends text alerts for doorbell or unrecognized faces.
SmartHub
Home Assistant runs on a Raspberry Pi 5 for central control.
It integrates lights, thermostats, locks, and motion sensors.
It supports Philips Hue, Nest, and Sonos devices smoothly.
The clean UI includes automations for a seamless smart home experience.
The Pi 5 hardware handles multiple integrations efficiently.
ControlPanel
A Raspberry Pi 5 pairs with a touchscreen for wall-mount use.
It centralizes lights, security cameras, and device toggles.
Real-time status updates and camera feeds are accessible.
The customizable dashboard matches home aesthetic.
The tap interface replaces phone use for home control.
HomeDashboard
A browser-based interface on Raspberry Pi 5 displays data.
It shows weather, energy usage, device status, and video.
Lovelace UI or OpenHAB tools are used for design.
The Pi 5 GPU ensures smooth animations on screens.
It enhances the experience with live security camera feeds.
AutomationServer
A Raspberry Pi 5 hosts databases, APIs, and dashboards.
It provides real-time control and monitoring of home systems.
It scales for advanced sensor data management.
It runs multiple services with increased processing power.
It is ideal for complex home automation use cases.
References
- https://www.viam.com/post/innovative-smart-home-projects-for-a-beginner-in-robotics-2024
- https://www.seeedstudio.com/blog/2025/11/27/smart-home-projects-using-arduino-esp32-and-raspberry-pi/
- https://www.elecrow.com/blog/home-automation-projects-with-raspberry-pi-5.html
- https://www.raspberrypi.com/news/diy-home-automation-with-raspberry-pi/
- https://all3dp.com/2/best-raspberry-pi-projects-home-automation-smart-home/
- https://sites.google.com/site/cartwrightraspberrypiprojects/home/steps/my-top-ten-home-automation-projects
- https://www.youtube.com/playlist?list=PLeg7PRID562wK_N_RJtpCpQXI6PWxNVpY
