Project Hub /Artificial Intelligence & Edge ML/Face Recognition & Access Control/Top Robotics Projects with Full Tutorial

Intermediate

RASPBERRY PI

₹5,000 – ₹15,000

6 – 12 Hours

Partial Kit

Top Robotics Projects with Full Tutorial

A curated collection of innovative robotics projects and tutorials ranging from face recognition smart robots to PID line followers and HMI-based robotic arms.

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.

3–6V R140 DC Motor (High-Speed DIY & Toy Motor) Rs. 49.00
110 RPM Single Shaft BO Motor – Straight Rs. 99.00
IR Proximity Sensor Module With Pot Rs. 55.00
ESP32 CAM WiFi Module Bluetooth with OV2640 Camera Rs. 1,483.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Arduino (unspecified board)

Browse all components

How It Works

This comprehensive robotics project system integrates advanced edge computing, computer vision, and mobility hardware centered around a Raspberry Pi 5. The core intelligence relies on Python and the Robot Operating System (ROS) running on the Raspberry Pi board to process visual feeds captured by the connected camera module. For applications like face recognition access control, the camera streams images to the main microcontroller board, where facial algorithms identify authorized users. When mobility or mechanical actuation is required, the system coordinates commands to onboard motors connected via wheels and castor wheels for navigation, or controls a multi-axis robotic arm chassis. Autonomous navigation and line-following routines utilize infrared (IR) sensors to detect surface reflections and obstacles, feeding real-time positional data back to the control loops. Additionally, cloud connectivity and automation platforms like Chatfuel, IFTTT, and Adafruit IO enable remote monitoring, alerts, and IoT dashboard integration via secondary microcontroller boards such as NodeMCU.

Why Build This

Design and implement autonomous robotic navigation algorithms using ROS and infrared sensor feedback suitable for warehouse and industrial automation tasks.

Develop practical computer vision applications like facial recognition access control on a Raspberry Pi 5 platform for smart home security.

Integrate cloud-based IoT services like IFTTT and Adafruit IO to achieve remote monitoring and hardware control for advanced undergraduate engineering portfolios.

Real-World Application

Industrial automation, warehouse navigation, smart home appliance control, remote inspection, and educational robotics.

Skills You'll Learn

Robot Operating System node management

computer vision implementation

infrared sensor calibration

motor control and PWM generation

IoT cloud dashboard integration

kinematics of robotic arm chassis

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

ROBOTICS

FACE RECOGNITION

PID ALGORITHM

ROBOTIC ARM

ROS

INDOOR MAPPING

CHATBOT

IOT

Frequently Asked Questions

Can I use an older Raspberry Pi model instead of the Raspberry Pi 5?

While older models can handle basic scripts, resource-intensive tasks like real-time face recognition and running ROS require the processing power of the Raspberry Pi 5.

Do I need prior experience with Robot Operating System (ROS) to start?

Basic familiarity with Linux command lines and Python is recommended, as ROS has a steep learning curve for absolute beginners.

How do the NodeMCU and Raspberry Pi communicate in this setup?

The Raspberry Pi typically acts as the main edge computer running heavy vision tasks, while NodeMCU boards can handle distributed wireless IoT tasks and relay commands over Wi-Fi.

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-01262