people-counter

There are 91 repositories under people-counter topic.

  • GeekAlexis/FastMOT

    High-performance multiple object tracking based on YOLO, Deep SORT, and KLT šŸš€

    Language:Python1.2k26253255
  • Multi-Camera-Live-Object-Tracking

    LeonLok/Multi-Camera-Live-Object-Tracking

    Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

    Language:Python9872543284

  • saimj7/People-Counting-in-Real-Time

    People Counting in Real-Time with an IP camera.

    Language:Python5421869266

  • WatershedArts/Footfall

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

    Language:C++33251117131

  • Lyr3x/Roode

    A reliable smart home people counter based on VL53L1X and ESPHome

    Language:C++151166644

  • brian-yu/pedestrian-cam

    Monitoring Foot Traffic over IP Webcams with ML

    Language:Jupyter Notebook1177537

  • JardinRyu/Jetson_Nano_People_Counting

    MobileNetV1-SSD + SORT based Real-Time Tracking and Counting on Jetson Nano

    Language:Python1095932

  • Andrea-Fox/peopleCounter

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

    Language:C++96141828

  • darpan-jain/crowd-counting-using-tensorflow

    Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.

    Language:Python896438

  • habom2310/People-tracking-with-Age-and-Gender-detection

    A combination between people tracking and age and gender detection

    Language:Python897645

  • databat-io/sonar

    Google Analytics for the real world.

    Language:JavaScript75102721

  • koba/overhead-camera-people-counter

    People counting algorithm using an overhead video camera

    Language:C++6510822

  • saimj7/Social-Distancing-Detection-in-Real-Time

    Social distance monitoring in real-time with an IP camera. Optimized for better performance with threading.

    Language:Python592936

  • akshun4/People-Counter

    Counts number of people passing through a user-generated Region of Interest

    Language:Python442231

  • chs74515/PeopleCounter

    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).

    Language:Python402320

  • PEOPLE-INSIDE/people-inside

    A Real-Time People Counting Algorithm using Ultrasonic Sensors

    Language:Arduino34307

  • SmitSheth/People-Counter

    This project counts number of people coming in and going out of structures such as building, stores,etc. based on tripline crossing.

    Language:C303159

  • Rishit-dagli/People-Counter-On-Edge

    Low latency resilient people detection and counting for edge devices

    Language:JavaScript234013

  • prateeksawhney97/People-Counter-Application-Using-Intel-OpenVINO-Toolkit

    The people counter application demonstrates how to create a smart video IoT solution using IntelĀ® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. This project is a part of Intel Edge AI for IOT Developers Nanodegree program by udacity.

    Language:JavaScript213010

  • C3n7ral051nt4g3ncy/PCT

    People Count Tool (PCT)

    Language:Python2020

  • nddbk/people-detecting

    Detect people from video/camera using OpenCV

    Language:Python20114

  • texano00/covid19-people-counter-system

    covid19-people-counter-system is a plug&play system to setup a real-time queue lenght counter in less then 5 minutes

    Language:TypeScript18207

  • BakingBrains/People_counting_basic

    Language:Python151717

  • denilgabani/people-counter-app

    People counter app is used for monitoring people at specific area.

    Language:JavaScript14217

  • tharakarehan/people-counter

    A human detection, tracking and counting system built using deep learning based computer vision.

    Language:Python12202

  • nullbyte91/openvino-people_counter_IoT_app

    Smart video IoT solution using IntelĀ® hardware and software tools

    Language:Python11325

  • beyhangl/People-Counting-by-zones

    Language:Python10215

  • yas-sim/openvino-people-detection-sample

    OpenVINO Python sample program - Face detection, People detection, Age/gender estimation, Pose estimation

    Language:Python10201

  • fulankun1412/People-Counting-OpenCV-Object-Detection

    People Counter Based on Pyimagesearch Source Code with modified for Export to Excel File

    Language:Jupyter Notebook91113

  • Rahul24-06/udacity-people-counter

    Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE

    Language:Python9305

  • danielelic/people-counting-algorithms

    WaterFilling and Multi Level Segmentation algorithms for people counting systems using RGB-D data

    Language:C++8323

  • Deeptun/MOG-people-counter

    Opencv MOG people counter

    Language:Python7122

  • mattdibi/PassengerCounter

    Development of an hardware accelerated pattern recognition image processing system.

    Language:C++7201

  • TruongNguyen5395/iwr1642application

    Application on Door counter using the mmWave FMCW IWR1642

    Language:JavaScript7205

  • agurod42/wifi-probe-request-devices-counter

    Devices counting algorithm using Wi-Fi Probe Requests in a wireless network

    Language:C++6403

  • ieee820/Awesome-Crowd-Counting

    Awesome Crowd Counting

    6204