GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → WatershedArts → Footfall

WatershedArts / Footfall

Licence: other
Application that allows you to monitor the traffic in and out of your building, using the RPi Camera and openFrameworks

Labels

opencvraspberrypiopenframeworks

Projects that are alternatives of or similar to Footfall

Mobilenet Ssd Realsense
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
Stars: ✭ 322 (+6.98%)
Mutual labels:  raspberrypi, opencv
Ofxcv
Alternative approach to interfacing with OpenCv from openFrameworks.
Stars: ✭ 614 (+103.99%)
Mutual labels:  opencv, openframeworks
Pibooth
The pibooth project provides a Photo Booth application out-of-the-box for Raspberry Pi and opencv compatible devices
Stars: ✭ 398 (+32.23%)
Mutual labels:  raspberrypi, opencv
Openframeworks
openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
Stars: ✭ 8,652 (+2774.42%)
Mutual labels:  opencv, openframeworks
Mobilenet Ssd
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Stars: ✭ 84 (-72.09%)
Mutual labels:  raspberrypi, opencv
Ffdynamic
Library with dynamic audio/video composition and runtime control
Stars: ✭ 274 (-8.97%)
Mutual labels:  opencv
Pisugar
PiSugar is a battery module for Raspberry Pi zero / zero W / zero WH
Stars: ✭ 287 (-4.65%)
Mutual labels:  raspberrypi
Qbr
A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.
Stars: ✭ 122 (-59.47%)
Mutual labels:  opencv
Raspibackup
Backup and restore your running Raspberry
Stars: ✭ 268 (-10.96%)
Mutual labels:  raspberrypi
Car Finding Lane Lines
Finding Lane Lines using Python and OpenCV
Stars: ✭ 299 (-0.66%)
Mutual labels:  opencv
Adversarial Examples Pytorch
Implementation of Papers on Adversarial Examples
Stars: ✭ 293 (-2.66%)
Mutual labels:  opencv
Docker Python3 Opencv
🐋 🐍 👁 Docker image with python 3 and opencv 4.1
Stars: ✭ 283 (-5.98%)
Mutual labels:  opencv
Superpixel Benchmark
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
Stars: ✭ 275 (-8.64%)
Mutual labels:  opencv
Sistine
Turn a MacBook into a Touchscreen with $1 of Hardware
Stars: ✭ 3,169 (+952.82%)
Mutual labels:  opencv
Trace.moe
Anime Scene Search by Image
Stars: ✭ 3,231 (+973.42%)
Mutual labels:  opencv
Rpisurv
Raspberry Pi surveillance
Stars: ✭ 293 (-2.66%)
Mutual labels:  raspberrypi
Orb Slam2 Gpu2016 Final
Stars: ✭ 272 (-9.63%)
Mutual labels:  opencv
Harvesters
🌈 Friendly Image Acquisition Library for Computer Vision People
Stars: ✭ 274 (-8.97%)
Mutual labels:  opencv
Curvaturefilter
Curvature Filters are efficient solvers for Variational Models
Stars: ✭ 291 (-3.32%)
Mutual labels:  opencv
Raspap Webgui
Simple wireless AP setup & management for Debian-based devices
Stars: ✭ 3,383 (+1023.92%)
Mutual labels:  raspberrypi
View All Similar Projects ➔

Footfall

Introduction

Footfall is a camera based people counting system that uses a Raspberry Pi and Pi Cam and openFrameworks. There is more information about the system on our blog.

Important: The source code provides a barebones system that will require customisation for each installation.

This means tweaking variables which are explained in the Configuration.md.

Built using openFrameworks 0.9.8.

How to Customise

Inside the bin/data folder of the Footfall App there is a config.json file. This contains all of the relevant variables you will need to change.

Please see the Configuration section.

Documentation

Find attached the relevant readmes to help build Footfall system.

Thanks

Thanks to Kyle McDonald for ofxCv and George Profenza for [ofxCvPiCam] (https://github.com/orgicus/ofxCvPiCam).

Warning

The original software was intended for sole use within Watershed, therefore some of the source code has been altered for public use and differs slightly to our systems. For example our system generated event tags showing screening in conjunction with the total number of people in Watershed, to do this we had to pre-populate some timestamps and may cause an issue if the system is ran past a certain time.

Fixes

Will update soon.

Updates

Update 1

I have added some new documentation about how to create the server side system database etc... There is also a new guide about how to setup the raspberry pi as a server.

I will be updating this repo with more detailed instructions and improved tracking over the coming weeks.

Update 2

15/09/16

I will updating the project to of_0.9.3 over the next coming weeks this should resolve some of the issues people have been having with ofxCv | ofXML.

Update 3

13/02/17

I will updating the project to of_0.9.8 soon. There will also only be one version of Footfall that should work across all Pi Platforms.

In the mean time. If you are coming up against compiler errors for ofxCvPiCam and ofxCv, try moving the ofxCvPiCam libs then, download the latest ofxCv repo. If you are using an earlier version oF ie less than 0.9.8. checkout the VS2012-stable branch. If you are using 0.9.8 use the origin/stable branch this will negate the glm:: errors.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].