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peoplecounter icon 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).

person_search icon person_search

Joint Detection and Identification Feature Learning for Person Search

pi-security-camera icon pi-security-camera

University project: Smart security camera on raspberry pi with email notifications and web interface

pi-zero-wifi-switch icon pi-zero-wifi-switch

Simple bash script that allow to switch between wifi networks if internet connection down

picamnn icon picamnn

Survelliance system with deep learning based people detection (YOLO)

qtox icon qtox

The most feature-rich Tox client; P2P instant messaging, audio and video calls.

rpi-wireless-hotspot icon rpi-wireless-hotspot

Configure your Raspberry Pi to act as a WPA encrypted WiFi hotspot, sharing the attatched ethernet connection. Allows the selection from a range of common DNS providers, including unblock-us for netflix. Chromecast support with this feature is also configured.

shmoocon icon shmoocon

Code released with Shmoocon Firetalks and Epilogue talks

splunkduino icon splunkduino

Arduino Sketch For Sending Data To Splunk HTTP Event Collector

stuffz icon stuffz

Repository containing many useful scripts

tania-core icon tania-core

Tania is a farm management software to help farmers manage their farm operations.

tensorflow_object_counting_api icon tensorflow_object_counting_api

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow that makes it easy to develop object counting systems!

the-book-of-secret-knowledge icon the-book-of-secret-knowledge

:dizzy: A collection of awesome lists, manuals, blogs, hacks, one-liners, cli/web tools and more. Especially for System and Network Administrators, DevOps, Pentesters or Security Researchers.

ubuntu-script icon ubuntu-script

this script well install LAMP server and phpMyAdmin With node js and secure your Domain with Let's Encrypt

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