A real-time people counting system using ultrasonic sensors
At meal time, there are too many people in a restaurant. So we have to wait in the restaurant. We want to check the number of indoor people in advance. PEOPLE INSIDE is a real-time people counting system using ultrasonic sensors. Our system aims to measure indoor congestion metrics. You can check the number of people with application.
We are focusing on three main purposes.
git clone https://github.com/PEOPLE-INSIDE/people-inside
Before you start, make sure the environment fits perfectly.
- ultrasonic sensorㅡ need 4 ultrasonic sensors which parallel aligned in pairs. You must prepare inexpensive one which like
HC-SR04
we used. - Wifi Shieldㅡ necessary to send data to the application.
- Serverㅡ
- Applicationㅡ required to view the processed data directly.
If the A sensor detects a person first, it means IN. And the reverse, it means OUT.
- Classification Algorithmㅡ Classification algorithm that classifies Serial datas which one is IN and OUT.
- Random Forestㅡ Machine Learning with data sets what we collected.
You can choose one method that you want to use.
Click here to watch test video.
We have a core project team composed of:
Amber Cho - Founder/Lead
Amber is a Software Engineer, UI Designer, and author of many technical books & tutorials. He oversees the project direction, maintenance and organizes the planning and development efforts of the team.
Chris Yang - Founder/Lead
Chris is a Software Engineer, UI Designer, and author of many technical books & tutorials. He oversees the project direction, maintenance and organizes the planning and development efforts of the team.
Martin Kim - Founder/Lead
Martin is a Software Engineer, UI Designer, and author of many technical books & tutorials. He oversees the project direction, maintenance and organizes the planning and development efforts of the team.
- This project is licensed under the MIT License - see the LICENSE.md file for details.