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Project Hub /Security Surveillance & Defense/Intrusion Detection Systems/Real-Time Motion Detection with XIAO ESP32 WhatsApp Alert System
Real-Time Motion Detection with XIAO ESP32 WhatsApp Alert System
Beginner
ESP32
₹500 – ₹1,500
3 – 6 Hours
Complete Kit

Real-Time Motion Detection with XIAO ESP32 WhatsApp Alert System

Build a compact motion detection system using a Seeed Studio XIAO ESP32-S3 and an IR motion sensor that sends instant WhatsApp notifications via the CircuitDigest Cloud.

Originally published on CircuitDigest
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.

Browse all components

How It Works

Why Build This

Design a practical IoT security device suitable for undergraduate engineering projects involving remote monitoring and wireless telemetry.
Implement cloud-based API integrations to bridge physical sensor inputs with real-time messaging platforms like WhatsApp.
Deploy a low-cost, compact intrusion detection system for unauthorized entry alerts and room occupancy tracking.

Real-World Application

Home security monitoring, unauthorized entry alerts, room occupancy tracking, and remote asset surveillance.

Skills You'll Learn

Microcontroller GPIO interfacing
digital sensor integration
Wi-Fi network configuration on ESP32
HTTP client requests
cloud API integration

Safety Precautions

Verify the operating voltage of your IR motion sensor and ensure it matches the 3.3V logic level of the XIAO ESP32-S3 to avoid damaging the components.

Technology Tags

ESP32
WIFI
IOT
IR SENSOR
CLOUD API
WHATSAPP
HTTPS
C++
ARDUINO

Frequently Asked Questions

This specific project requires the Seeed Studio XIAO ESP32-S3 because it has built-in Wi-Fi capabilities essential for connecting to the internet and sending cloud alerts, along with compatible 3.3V logic levels.
No, you can utilize the cloud account and API key provided for the project setup to handle the webhook or messaging integration as outlined in the software requirements.
The circuit is powered primarily through the USB cable connected directly to the XIAO ESP32-S3 development board, which in turn supplies the appropriate operating voltage to the breadboard and connected IR motion sensor.

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-01475