Project Hub /Artificial Intelligence & Edge ML/Object Detection & Tracking/AIOT Security System with GSM/Wi-Fi Enabled Remote Monitoring
AIOT Security System with GSM/Wi-Fi Enabled Remote Monitoring
Advanced
MAIXDUINO
₹5,000 – ₹15,000
6 – 12 Hours
Partial Kit

AIOT Security System with GSM/Wi-Fi Enabled Remote Monitoring

An AI-powered edge security system built on the Maixduino kit that performs local face detection and recognition, sending real-time alerts via Wi-Fi or GSM to cloud platforms like ThingSpeak and messaging services like Telegram.

Originally published on CircuitDigest
View original tutorial
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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: Prototype Kit / Sensor Kit / Starter Kit
TFT / Touch LCD
GSM / GPRS SIM800L

Browse all components

How It Works

Why Build This

Develop practical competence in deploying machine learning models and computer vision algorithms on edge hardware accelerators.
Integrate IoT cloud platforms and cellular GSM communication modules to build reliable telemetry and alert pipelines.
Design and prototype a complete embedded security solution suited for remote environments with intermittent internet access.

Real-World Application

Remote or rural security and surveillance where internet connectivity is unstable or unavailable, using cellular GSM networks for reliable intruder alerts.

Skills You'll Learn

Edge AI model deployment
RISC-V microcontroller programming
MicroPython development
LTE/4G cellular module integration
Cloud telemetry via ThingSpeak
Webhook configuration with Telegram
Computer vision camera interfacing

Safety Precautions

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

Technology Tags

AIOT
EDGE AI
FACE RECOGNITION
MICROPYTHON
GSM
WI-FI
MQTT
YOLOV2
MAIXPY
IOT

Frequently Asked Questions

Yes, local face detection and recognition run entirely on the Maixduino edge processor, and the system can utilize the 4G GSM module with a SIM card to send SMS or webhook alerts even when traditional Wi-Fi is unavailable.
MaixPy IDE is used for writing and debugging the MicroPython code, while Kflash is the utility required to flash or upload compiled firmware and scripts onto the Maixduino board.
The Maixduino or cellular module transmits HTTP requests to an automation service like Pipedream via a webhook, which in turn triggers an instant message directly to your Telegram chat.

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.
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