Super Power-Saving Wearable Device for Efficient Data Processing and IP-Based Location Tracking
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Intermediate
ESP32
₹1,500 – ₹5,000
3 – 6 Hours
Partial Kit
Super Power-Saving Wearable Device for Efficient Data Processing and IP-Based Location Tracking
A super power-saving wearable device built around the Indusboard (ESP32-S2) that wakes up at specific intervals to process sensor data and transmit IP-based location updates while minimizing power consumption.
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.
This wearable device functions by combining a low-power ESP32-based microcontroller (such as the IndusBoard) with a circular touch display and a 3.3V battery for portable operation. At the heart of the system is the ESP32 platform, which manages processing tasks and wireless connectivity. The software, written using the Arduino IDE or ESP32 development environment, is programmed to execute routines efficiently and enter deep sleep states between active intervals to conserve battery life. When active, the system can process data and transmit IP-based location updates via its wireless capabilities. The user interface is driven by a round GC9A01 display paired with a CST816S capacitive touch driver, allowing visual feedback and touch interaction while drawing minimal power. Power is supplied via a 3.3V battery for standalone wearable use, with a USB Type-C adapter available for battery charging, programming, and power delivery during bench testing. By cycling between low-power sleep modes and short bursts of active data processing, the device achieves extended operational longevity on a single battery charge.
Why Build This
Design and deploy energy-efficient IoT wearable hardware that maximizes battery longevity using deep-sleep power management strategies.
Integrate round graphical displays and capacitive touch controllers into a compact, microcontroller-driven enclosure for interactive wearable applications.
Implement IP-based data transmission and periodic sensor data processing suitable for remote tracking and environmental monitoring tasks.
Real-World Application
Useful for long-lasting IoT wearable devices, remote environmental sensing, and low-power asset or personnel tracking where battery longevity is paramount.
Skills You'll Learn
Deep sleep power optimization
capacitive touch controller integration
SPI and I2C display interfacing
wireless IP-based data transmission
battery power management
Safety Precautions
No specific precautions noted for this build — always follow general electronics safety practices.
Technology Tags
ESP32
WEARABLE ELECTRONICS
LOW POWER DESIGN
ULP COPROCESSOR
WI-FI
IOT
LOCATION TRACKING
RTC
Frequently Asked Questions
You can program the board using the Arduino IDE or the standard ESP32 development environment by connecting it via a USB Type-C cable and installing the necessary board support packages.
The GC9A01 provides a round visual output for the wearable interface, while the CST816S handles capacitive touch inputs so users can interact directly with the screen.
The microcontroller utilizes low-power sleep modes, waking up only at scheduled intervals to process data and send location updates before returning to a low-energy state.
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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