🪔 Diwali Break: Orders placed now will ship from 25th November 2026. Place your order today — we'll get it to you right after we're back!
Project Hub /Robotics & Autonomous Systems/AGV & Industrial Rovers/A Robot That Can Dream, Recognise And Greet Visitors
A Robot That Can Dream, Recognise And Greet Visitors
Advanced
RASPBERRY PI
Project Specific
6 – 12 Hours
Partial Kit

A Robot That Can Dream, Recognise And Greet Visitors

A unique AI-powered robot built using a Raspberry Pi that can recognize human faces and simulate dreaming.

Originally published on ElectronicsForU
View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: SD / MicroSD Card
3D Printed Parts / Filament / Printer

Browse all components

How It Works

Why Build This

Develop autonomous artificial assistants capable of seamlessly greeting guests in hotels, offices, and public environments.
Design assistive robotics companions tailored to provide interactive engagement for the elderly and children.
Implement complex machine learning and computer vision pipelines on edge computing hardware like the Raspberry Pi 5.

Real-World Application

Can be used as artificial assistants in workplaces, companions for the elderly and children, or for welcoming guests in hotels and public spaces.

Skills You'll Learn

Computer vision
facial recognition algorithms
Python programming
edge AI deployment
camera CSI interface management
image processing
embedded Linux system administration

Safety Precautions

Ensure correct power supply connections and handle the Raspberry Pi and camera modules with standard ESD safety precautions.

Technology Tags

RASPBERRY PI
PYTHON
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
IMAGE PROCESSING
ROBOTICS
COMPUTER VISION
FACIAL RECOGNITION

Frequently Asked Questions

Yes, the project supports a Raspberry Pi 4 (2GB-4GB or higher) alongside the Raspberry Pi 5, though performance with AI and machine learning tasks will vary based on RAM and processor specs.
The system runs on Raspberry Pi OS using Python, utilizing specialized AI and machine learning libraries designed for image processing and computer vision.
The Pi Camera interfaces directly with the Raspberry Pi board using a dedicated CSI (Camera Serial Interface) ribbon cable for high-speed video data transfer.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
PRJ-00659