#Introduction (bis) after moving from .top (🇫🇷 > msg précédent)
I'm a #french freelance #journalist and radio #producer based in #Quebec. I mostly write and talk about #science, but not exclusively.
Before switching to #journalism I studied #biology and played with #blood cells in #Academia.
I am a noob at #woodworking and wannabe #linux user.
A few of my #:
#scicomm #openscience #philsci #philscicomm #woodworking #raspeberrypi #opensource #foss
#Introduction (bis) post-déménagement... Il était temps!
Je suis #journaliste indépendant. Je parle principalement de #science, mais pas seulement.
Je suis souvent à la #radio publique. Dans une autre vie, je faisais de la recherche en #biologie et je jouais avec des globules. Maintenant je lutte avec les mots et j'essaie de trouver ma voie sur Mastodon.
Quelques-uns de mes #:
#science #vulgarisationscientifique #philosophie #scienceouverte #menuiserie #randonnée #linux #raspeberrypi #libre
#introduction (🇫🇷 > msg précédent)
I'm a #french freelance #journalist and radio #producer based in #Quebec. I mostly write and talk about #science, but not exclusively.
Before switching to #journalism I studied #biology and worked in #Academia.
For 10 years I dedicated my life to learning more about #Blood cells and #leukemia.
I am also a noob at #woodworking and wannabe #linux user.
A few of my # :
#scicomm #openscience #philsci #philscicomm #woodworking #raspeberrypi #opensource #foss
#introduction ! (🇬🇧 follows)
Je suis #journaliste et réalisateur #radio au #Quebec. J'écris et je parle de #science à la radio publique, mais pas seulement.
Avant j'étais #biologiste. J'ai passé 10 ans de ma vie dans des labos de recherche médicale à m'intéresser aux cellules du #sang et aux leucémies.
Parfois je gosse du bois et je rêve de savoir #coder
Quelques-uns de mes #:
#science #vulgarisationscientifique #philosophie #scienceouverte #menuiserie #radonnée #linux #raspeberrypi #libre
Overengineering A Smart Doorbell
Fresh from the mediaeval splendour of the Belgian city of Gent, we bring you more from the Newline hacker conference organised by Hackerspace Gent. [Victor Sonck] works at the top of his house, and thus needed a doorbell notifier. His solution was unexpected, and as he admits over engineered, using machine learning on an audio stream from a microphone to detect the doorbell's sound.
Having established that selling his soul to Amazon with a Ring doorbell wasn't an appropriate solution, he next looked at his existing doorbell. Some of us might connect directly to its power to sense when the button was pressed, but we're kinda glad he went for the overengineered route because it means we are treated to a run-down how machine learning works and how it can be applied to audio. The end result can sometimes be triggered by a spoon hitting a cereal plate, but since he was able to demonstrate it working we think it can be called a success. Should you wish to dive in further you can find more in his GitHub repository.
How would you overengineer a doorbell? Use GNU radio and filters? Or maybe a Rube Goldberg machine involving string and pulleys? As always, the comments are open.
Header image: © Raimond Spekking / CC BY-SA 4.0.
#cons #machinelearning #news #doorbell #newline #raspeberrypi