I-A Yadusmog
Fine particle sensor network &
Artificial intelligence training
visualization of pollution rates
Beginning of March 2019
Saint-Malo / World
partner: Osons Saint Malo Association
hosting: Osons St Malo website
Application interfaces :
Landscape filmed by the camera and modified in real time by the AI via the yadusmog application:
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Installation of an air sensor network in Saint Malo measuring air pollution and its hygrometry in order to carry out a large-scale participatory science study, district by district
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Correlation between hygrometry & floating PM rate in air
++ Training of artificial intelligences to recognize increases in particle rates and modification of the representation of a landscape
+++ Machine learning from pictorial representations of “smog” made by Pauline Hégaret by learning AI & style transfers
++++ Critical ecology generative artificial intelligence - connection to the closest sensor and use of the phone's webcam to visualize a transformed or revealed landscape
Sensors installed, some links to graphs and data readings:
PM 10 PM 2.5 sensors
https://www.madavi.de/sensor/graph.php?sensor=esp8266-9320113-sds011
Hygrometry and temperature: OK
https://www.madavi.de/sensor/graph.php?sensor=esp8266-9320113-dht
PM 10 PM 2.5 sensors:
https://www.madavi.de/sensor/graph.php?sensor=esp8266-9317177-sds011
Hygrometry and temperature:
https://www.madavi.de/sensor/graph.php?sensor=esp8266-9317177-dht
wifi signal reception & strength:
https://www.madavi.de/sensor/signal.php?sensor=esp8266-9321937
PM 10 PM 2.5 sensors:
https://www.madavi.de/sensor/graph.php?sensor=esp8266-9321937-sds011
PM 10 PM 2.5 sensors:
https://www.madavi.de/sensor/graph.php?sensor=esp8266-2099313-sds011
Hygrometry and temperature:
https://www.madavi.de/sensor/graph.php?sensor=esp8266-2099313-dht