Joined the team
EasyBus
Real-time occupancy rate measurement in public transportation
Real time occupancy measurment in the public transport can be done through various ways. We chose to go with an AI based approach, with person recognition, running on a low cost hardware.
Network and power are not major concerns as the bus has wired power and 3G connection onboard.
Our setup based on YoloV3/ImageNet running on a raspberry Pi, with a GPS shield can analyze realtime and send the numbers to our backend, and show the infos through an Angular dashboard, both running in Heroku.
Pitch slides : https://docs.google.com/presentation/d/1mqEXLIN6sBsA5IgqV9-UMzx49B55etuB53Os1Chb0Ds/edit?usp=sharing
02.07.2018 16:13
~
yan_wang
Edited content
02.07.2018 11:43
~
nick_b
Event finished
30.06.2018 15:30
Joined the team
23.06.2018 21:08
~
nick_b
Challenge posted
22.06.2018 20:19
~
dimitrios_kyritsis
Event started
22.06.2018 15:00
Join the conversation at #MakeZurich and on The Things Network Switzerland Slack.
All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with our very simple Code of Conduct: Be excellent to each other.
The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.