Project timeline
ESP32 Seismic Gyro System
Seismic motion monitoring experiment with ESP32 and gyro sensor.
Main tools and layers
Project category and focus
Worked on ESP32 sensor reading, event detection, data filtering and reporting logic. Contribution scope: breaking requirements...
Used technologies
Technologies used in this project
Key technologies in this project are matched automatically from its technology list and category structure.
ESP32 Advanced
Arduino Advanced
Raspberry Pi Advanced
LoRa Intermediate
OTA Intermediate
MQTT Intermediate
Sensors Advanced
PlatformIO Intermediate
Details
Project overview
The ESP32 seismic gyro system is an embedded system study focused on sensing motion or vibration data, filtering it and turning it into meaningful event information. Noisy sensor outputs such as IMU or gyro data must be evaluated with thresholds, time windows and event logic rather than simply being read. The project focuses on building a measurement, interpretation and reporting chain on a low cost embedded platform.
System perspective: The project was considered not as a single technical output, but together with requirements, data flow, user interaction, failure scenarios, maintainability and future extensibility. This makes both the engineering decisions and software architecture choices easier to understand.
Implementation detail: The content was expanded to explain not only the technologies used, but also how the problem was approached, which layers were separated, how data and control flow were considered, and which competency the project represents inside the CV.
Portfolio depth: This record highlights not only the technologies used, but also how the requirement was decomposed, how data or control flow was considered, what output is presented to the user and how the project can be extended later. This turns the project card from a short showcase into a readable case study that explains engineering decisions.
Case Study
The technical story from problem to outcome
In vibration or sudden motion detection systems, raw IMU data can be noisy and may not create meaningful event information by itself. The system should read data consistently and make it interpretable through thresholds, filtering and timestamps.
Sensor reading, threshold control, time windows and event recording were designed together.
ESP32 collects sensor data, the software layer filters and classifies events, and the reporting layer makes results understandable.
The project became a strong example that raw sensor data is not information until software gives it context.
Architecture
Block-based system flow
In vibration or sudden motion detection systems, raw IMU data can be noisy and may not create meaningful event information by itself. The system should read data consistently and make it interpretable through thresholds, filtering and timestamps.
ESP32 collects sensor data, the software layer filters and classifies events, and the reporting layer makes results understandable.
Sensor reading, threshold control, time windows and event recording were designed together.
The project became a strong example that raw sensor data is not information until software gives it context.
Live showcase
Demo, output and visual story
In vibration or sudden motion detection systems, raw IMU data can be noisy and may not create meaningful event information by itself. The system should read data consistently and make it interpretable through thresholds, filtering and timestamps.
The project became a strong example that raw sensor data is not information until software gives it context.
ESP32 collects sensor data, the software layer filters and classifies events, and the reporting layer makes results understandable.
The project became a strong example that raw sensor data is not information until software gives it context.