Seismo recorder data processing program
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Updated
Mar 31, 2015 - C++
Seismo recorder data processing program
Platform is an Arduino based tool to acquire, geolocate and save pollutants concentrations in a sd card.
This repository is about a cushion device to measure the Biometric information, chair direction & posture for machine learning analytics.
The microcontroller side of college(final year) project - Water Quality Monitoring and Notification System
An A* path finding algorithm written in python - application for CS:GO BOT path finding.
Data Collection Prototype | Columbia GSAPP
🌡️ Wireless environmental data collection station (ESP8266 providing HTTP REST interface for BME280)
A code snippet to download open images for training
Software used to collect, Preview and Save hyperspectral imaging data (cameras FX17, PCO panda 4.2, stage Thorlabs LTS300)
An Arduino library providing a minimal interface to log data on flash memory and SD cards with ESP8266 and ESP32.
My capstone project explores machine learning, hardware, and web development to create a smart home system for monitoring the health of homebound patients suffering from sleep apnea. The system includes data collection through sensors, embedded ML (TinyML) to analyze data, and web development for creating a medical dashboard.
Collect, validate and send data reliably from ROS 2 to create APIs and dashboards.
A smart IoT-based waste management system for efficient and automated waste collection and real-time monitoring of detritus levels.
An IoT device to help farmers predict harvest periods, reducing waste while increasing yields and profits.
DEPRECATED - no longer actively maintained
I suggest reading the README.md
Code moved to https://github.com/robotology/human-dynamics-estimation
This project is an advanced datalogger that logs temperature, humidity, and air pressure. It uses an Adafruit SHT31 sensor for temperature and humidity, and a BMP180 for air pressure.
An IoT-based data collection system using the ESP32 microcontroller programmed with Arduino to monitor environmental conditions for smart irrigation. The system measures soil moisture, temperature, air temperature, humidity, and rain probability. Data is stored locally on an SD card and uploaded to the ThingSpeak platform.
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