Code for a cheap people counter based on VL53L1X sensor and ESP32/8266

Basic People counting code using Python and OpenCV

In present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).

Count people using EmguCV(OpenCV) and cameras by face detection and recognition

People Counter module for Roskilde Festival

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Count people in a video stream with YOLO

This repo contains the firmware for a simple Arduino/ESP based Microcontroller with a basic web UI.

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small program

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In response to social distancing measures during COVID-19 pandemic, it has been imposed to limit the number of people in almost every location and educational institutions are not exempted to it. Hence the idea of counting the actual number of people inside the building became a requirement.

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Counting people using overhead camera OpenCV ,Python

A testing framework for people counter image processing pipeline

People Counter software with the intergration of multi-object tracking spread across multiple process

detecting and counting people in surveillance video footage with manually trained model using YOLOv3 Framework.

This is a people counter module that is implemented using SS-DCNet.

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Code of homework for the Computer Vision Theory and Applications course in my graduate program - Jul. 2016

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Using OpenCV to count the number of people entering or exiting a particular ROI

This project is a people counter developed using Python, OpenCV, and DroidCam. It was specifically designed to operate on a Raspberry Pi 3.

The application counts the people in the current frame, the duration that a person is in the frame(Time elapsed between entering and exiting a frame), and the total number of unique people seen.

simple opencv example on how to count people passing by

PeopleCounter project source code

A demo for show off people detection and multi-object tracking and pass-through counter

Counting people using a Rpi and pir

Python code that receives an image and returns how many people are in it

Android app made for a class. Counting people around you (based on nearby services and bluetooth devices) location services might be added