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Project Hub /Artificial Intelligence & Edge ML/Object Detection & Tracking/Maixduino Powered Doorman
Maixduino Powered Doorman
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MAIXDUINO
₹1,500 – ₹5,000
3 – 6 Hours
Partial Kit

Maixduino Powered Doorman

An AI-powered automated door control system using Maixduino and facial detection to open doors only when a person approaches and faces the entrance, preventing accidental triggers from passersby.

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: LCD (generic / unspecified)
Transistors (BC547 / 2N2222 / TIP / MOSFET)
3Amp

Browse all components

How It Works

Why Build This

Design and deploy a localized edge-AI computer vision system using a specialized microcontroller without relying on external cloud servers.
Implement real-time object detection models like YOLOv2 on resource-constrained embedded hardware for practical automation tasks.
Interface low-voltage microcontroller logic with electromechanical relays and switching transistors to safely control external hardware mechanisms.

Real-World Application

Automated cleanrooms, industrial control rooms, and secure office entrances where preventing false-trigger door openings from hallway traffic is critical for climate control and noise reduction.

Skills You'll Learn

Edge AI deployment
real-time object detection
firmware flashing with Kflash_gui
Python scripting in MaixPyIDE
transistor switching circuits
relay interfacing
embedded computer vision

Safety Precautions

Ensure proper electrical isolation when connecting 5V relays to high-voltage gate opening mechanisms.

Technology Tags

AI
MACHINE LEARNING
COMPUTER VISION
YOLOV2
MICROPYTHON
RELAYS
PROXIMITY DETECTION
FACE RECOGNITION

Frequently Asked Questions

The Maixduino microcontroller pins output low current, which is insufficient to directly drive the electromagnetic coil of a 5V relay. The BC545 transistor acts as a current amplifier and electronic switch, allowing the microcontroller's small digital signal to safely control the higher-current relay.
No, all processing happens locally on the Maixduino MCU. The YOLOv2 face detection model runs entirely on the edge using the board's on-board hardware accelerators and MaixPy environment.
Running an edge AI camera board alongside an LCD screen and dual relays demands stable, continuous current. A 3-amp power supply ensures that voltage sags do not occur when the relays trigger or when the camera actively processes video frames.

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-00757