Vekotinverstas

Finland, Helsinki

Pinned Repositories

AQLoRaBurk
Air Quality sensor data from ESP32 via LoRaWAN
Language:C++8 4 12
Co2TTGO
Co2 sensor on TTGO Lora (aka BKS aka BändiKämppäSensori)
Language:C++2 4 00
DataHubHel
mySMARTLife's DataHUB project
Language:Python3 5 05
Digitalisaatiopurkki
Simple TTGO Lora Esp32 sending bme280 data
Language:C++10
ESP32-Paxcounter-visu
ESP32-Paxcounter data visualiser
Language:Python30
OpenTripPlanner
An open source multi-modal trip planner
Language:Java0 2 00
RandomThings
Test rig for SensorThings with JSON-LD
Language:Xojo1 3 01
rpi-air-workshop
Instructions for crowdsourced air quality measurement RPi box
12
RPiSensorBox
Reads sensors connected to a Raspberry Pi and exposes the readings as Bluetooth Smart (BLE) services and characteristics.
Language:Python2 4 00
SensorExperiments
Various sensors tested to work with ESP/Arduino/Rasperry Pi etc.
Language:C++10

Vekotinverstas's Repositories

VekotinVerstas/AQLoRaBurk
Air Quality sensor data from ESP32 via LoRaWAN
Language:C++8 4 12
VekotinVerstas/DataHubHel
mySMARTLife's DataHUB project
Language:Python3 5 05
VekotinVerstas/ESP32-Paxcounter-visu
ESP32-Paxcounter data visualiser
Language:Python30
VekotinVerstas/RandomThings
Test rig for SensorThings with JSON-LD
Language:Xojo1 3 01
VekotinVerstas/SenseHel
Data portal and backend to manage dynamic consent in smart homes.
Language:Python1 3 02
VekotinVerstas/SensorExperiments
Various sensors tested to work with ESP/Arduino/Rasperry Pi etc.
Language:C++10
VekotinVerstas/DemoSensor
ESP8266 sketch to read several sensors and send the data to a MQTT broker
Language:C++0 4 20
VekotinVerstas/DjangoHttpBroker-TheThings
The Things Network plugin for DjangoHttpBroker
Language:Python0 3 00
VekotinVerstas/HSplatform
Language:C00
VekotinVerstas/OpenTripPlanner
An open source multi-modal trip planner
Language:Java0 2 00
VekotinVerstas/AQWlan
AQ Wlan burk
Language:C++
VekotinVerstas/DataManagementScripts
Various scripts to manipulate data and send it to other systems (in Forum Virium / Vekotinverstas related projects)
Language:Python
VekotinVerstas/DjangoHttpBroker-Everynet
Everynet plugin for DjangoHttpBroker
Language:Python
VekotinVerstas/DjangoHttpBroker-FVH-Experiments
FVH experiments for DjangoHttpBroker
Language:Python
VekotinVerstas/DjangoHttpBroker-GpsLocation
OwnTracks plugin for DjangoHttpBroker
Language:Python
VekotinVerstas/DjangoHttpBroker-Thingpark
Thingpark plugin for DjangoHttpBroker
Language:Python2
VekotinVerstas/ffmpeg2youtube
Live video feed manipulation with ffmpg (add logos, sensor and other text info to stream )
Language:Python
VekotinVerstas/GxEPD2
This fork is quickhack with hardcoded pins for Waveshare esp32 e-paper driver board SPI pins ( MOSI 14 ). Upstream: Arduino Display Library for SPI E-Paper Displays.
Language:C
VekotinVerstas/H4kcz
Very quick hacks to test something
Language:C++3 0
VekotinVerstas/hope-green-path-server
An open source routing application for finding healthier paths for walking and cycling.
VekotinVerstas/Houkutusnappi
Nappi joka houkuttaa painamaan ja tunnistaa rämppäyksen
Language:C++
VekotinVerstas/IoTDevice
IoTDevice
Language:C++4 0
VekotinVerstas/KuVa-Liikuntapaikkakokeilut
VekotinVerstas/ModbusLora
Language:C++
VekotinVerstas/RaspiAnsible
Ansible playbooks to install automatically various applications in Raspberry Pi
Language:Shell2 0
VekotinVerstas/serialforward
ESP-IDF serial forward. Exposing T-Beam GPS serial port to T-Beam usb serial. Can be used for ublox config in windows.
Language:C
VekotinVerstas/TFT_infonaytto
verstaan ovessa oleva näyttöpurkki
Language:C++
VekotinVerstas/Tykin_ohjaus_2
Musta Excelvan
Language:C++
VekotinVerstas/UrbanEcoIslands
Software created for Urban Eco Islands project
Language:C++1
VekotinVerstas/WASIS
WASIS (Wildlife Animal Sound Identification System) is a public-domain software that recognizes animal species based on their sounds. From a partnership between Laboratory of Information Systems (LIS) and Fonoteca Neotropical Jacques Vielliard (FNJV) of the Institute of Biology of the University of Campinas (UNICAMP), the main goal of this project is to design a tool which supports multiple algorithms to help scientists and general public on the identification of species. And why is it important? Besides the curiosity itself of knowing which species is calling, we can possibly identify invasive species in a certain area, help on establish migratory patterns from sounds of different locations during a specific period of time, as well as support long duration recording analysis. The software architecture was designed to support multiple audio feature techniques that extract meaningful information of animal sounds, and classification algorithms that use these extracted data to match against respective audio information stored in the software data repository. The main purpose of these algorithms is to design a classification scheme that can best predict the classes/labels for unseen data (an audio file that we want to identify), process similar to the human brain ability to differentiate among a wide range of sounds and to assign them to previously heard sounds.
Language:Java2 0