In the realm of wearable devices and small sensor nodes, prioritizing power efficiency is crucial. Rather than running continuously, these devices typically operate intermittently, gathering and transmitting data at scheduled intervals.
This project aims to develop an ultra Power-Saving Wearable Device tailored for such scenarios. It capitalizes on the capabilities of the Indusboard, featuring an ESP32-based chip renowned for its exceptional energy efficiency and flexible sleep functionalities. These include light sleep and deep sleep modes, along with the ability to process data during sleep utilizing its ULP (Ultra Low Power) RISC coprocessor.
The goal is to engineer a Power-Saving Wearable Device that periodically awakens to handle and relay sensor data. Additionally, it integrates an IP-based location tracker that updates its whereabouts solely on the web dashboard upon detecting movement, thereby optimizing power consumption.
Utilizing the IndusBoard equipped with the ESP32-S2 chip is imperative due to its support for RTC (Real-Time Clock) and RISC-V coprocessor functionalities, crucial for attaining the desired low-power state and efficient operation.
This project serves as a demonstration of leveraging built-in RTC and Deep Sleep functionalities to design highly efficient devices and wearable electronics. It offers flexibility for modifying code and design according to specific requirements, providing insight into the methodology behind achieving remarkable power savings.