https://wiki.lafabriquedesmobilites.fr/api.php?action=feedcontributions&user=Majdi&feedformat=atomCommunauté de la Fabrique des Mobilités - Contributions de l’utilisateur [fr]2024-03-29T09:52:46ZContributions de l’utilisateurMediaWiki 1.35.6https://wiki.lafabriquedesmobilites.fr/index.php?title=Jarjarcar&diff=31083Jarjarcar2019-07-11T21:09:34Z<p>Majdi : </p>
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<div>{{CR Ateliers<br />
|shortDescription=JarJarCar allow us to get an idea of how much a bus is crowded or empty<br />
|Main_Picture=sunshine-car<br />
|description=The application connects a device with a SIM card and a camera that will recover anonymously all important passenger data from buses to count them and learn their actions.<br />
|event=Kick-off Challenge Boitier Connecté Open Source<br />
|contributeurs=Majdi<br />
|Tags=#open #hardwar #mobility #bus #image #recognition<br />
|Theme=Open HardWare, Accessibilité dans les transports<br />
|challenge=Augmenter les connaissances partagées en cartographie et usages des véhicules et réseaux de transports<br />
|communauté d'intérêt=Communauté autour de l'accessibilité dans les transports<br />
|keyuser=Majdi Toumi<br />
|action=Expérimenter / Implémenter un produit/service dans un contexte/territoire précis<br />
|forum=majdi@mhirba.com<br />
|chat=https://chat.fabmob.io/direct/majdi<br />
|Complement=https://medium.com/open-hardware<br />
|etape=The MVP is ready and connected to our Scaleway servers.<br />
There are the main next steps:<br />
- Transfer and have the algorithm run on the board in real-time<br />
- Optimize the algorithm to cover more cases<br />
- Finally, test it in real conditions!<br />
}}<br />
The goal is to be able to process these data via our algorithm and to provide additional information to cities and knowledge hub in order to visualize passenger habits.<br />
It's a student group that had never played with IoT before!<br />
<br />
Cindy De La Fuente<br />
Virginie Cornu<br />
Jeremy Nohile<br />
Thibault Perraudin<br />
Thomas Pelfrene<br />
<br />
And me (Majdi Toumi) as mentors.<br />
<br />
For this project, we imagined that our device will be placed in a standard Parisian bus composed of two doors, one at the front, the other one in the middle. So the camera would be positioned above each door and will detect people coming in or out of the bus while the separation of the areas would be delimited by the doors<br />
<br />
Read more about this project here: https://medium.com/open-hardware [ IoT car connected ]</div>Majdihttps://wiki.lafabriquedesmobilites.fr/index.php?title=Jarjarcar&diff=31082Jarjarcar2019-07-11T21:08:12Z<p>Majdi : Page créée avec « {{CR Ateliers |shortDescription=JarJarCar allow us to get an idea of how much a bus is crowded or empty |Main_Picture=sunshine-car |description=The application connects a... »</p>
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<div>{{CR Ateliers<br />
|shortDescription=JarJarCar allow us to get an idea of how much a bus is crowded or empty<br />
|Main_Picture=sunshine-car<br />
|description=The application connects a device with a SIM card and a camera that will recover anonymously all important passenger data from buses to count them and learn their actions.<br />
|event=Kick-off Challenge Boitier Connecté Open Source<br />
|contributeurs=Majdi<br />
|Theme=Open HardWare, Accessibilité dans les transports<br />
|challenge=Augmenter les connaissances partagées en cartographie et usages des véhicules et réseaux de transports<br />
|communauté d'intérêt=Communauté autour de l'accessibilité dans les transports<br />
|action=Expérimenter / Implémenter un produit/service dans un contexte/territoire précis<br />
|forum=majdi@mhirba.com<br />
|chat=https://chat.fabmob.io/direct/majdi<br />
|Complement=https://medium.com/open-hardware<br />
|etape=The MVP is ready and connected to our Scaleway servers.<br />
There are the main next steps:<br />
- Transfer and have the algorithm run on the board in real-time<br />
- Optimize the algorithm to cover more cases<br />
- Finally, test it in real conditions!<br />
}}<br />
The goal is to be able to process these data via our algorithm and to provide additional information to cities and knowledge hub in order to visualize passenger habits.<br />
It's a student group that had never played with IoT before!<br />
<br />
Cindy De La Fuente<br />
Virginie Cornu<br />
Jeremy Nohile<br />
Thibault Perraudin<br />
Thomas Pelfrene<br />
<br />
And me (Majdi Toumi) as mentors.<br />
<br />
For this project, we imagined that our device will be placed in a standard Parisian bus composed of two doors, one at the front, the other one in the middle. So the camera would be positioned above each door and will detect people coming in or out of the bus while the separation of the areas would be delimited by the doors<br />
<br />
Read more about this project here: https://medium.com/open-hardware [ IoT car connected ]</div>Majdihttps://wiki.lafabriquedesmobilites.fr/index.php?title=Fichier:Sunshine-car.jpeg&diff=31081Fichier:Sunshine-car.jpeg2019-07-11T19:30:56Z<p>Majdi : </p>
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<div></div>Majdi