👥 Detect and count humans in videos or images using OpenCV with simple commands for effective monitoring and analysis.

A computer vision tool for detecting humans in images and video streams. Built with Python and OpenCV, it provides a simple and efficient way to perform people counting and surveillance

ORCUS - Multi-drone kamikaze system for autonomous area surveillance and target engagement. Intelligent grid partitioning prevents collisions during parallel operations. Drones scan zones, detect human targets with AI vision, lock on with precision tracking, and execute collision. ArduPilot SITL + ROS + Gazebo simulation.

This repository contains a code for human detection and congestion detection using OpenCV and an Arduino UNO

Automatic fall detection system using YOLOv8 and MediaPipe. Detects people in videos, analyzes body posture, and automatically clips falling moments from the original video.

An Offline AI powered android app which can detect any human using the phone camera and send a SMS alert to the owner.

Python full-body and face tracking app with hacker-style UI, gesture-controlled mouse, neon effects, and interactive matrix visuals.

A real-time application that detects persons in webcam streams or video files using the YOLOv8 model. Detected persons are highlighted with bounding boxes and total count displayed on each frame.

Python+YOLOv8-based human/animal/object detection DVR framework with GUI, webUI and Telegram alerts

[PIMRC2024] Official Pytorch implementation of "Human Detection Based on Learning and Classification of Radio Scattering Parameters and Para-Hermitian Eigenvalue Decomposition"

RaspberryPi Camera Timelapse - sending picture to the Cloudinary, Blynk and Person detection

An AI-powered security system that automatically detects and captures images of intruders — only when the owner is away. It leverages smart presence detection to distinguish between authorized users and potential threats, ensuring efficient and privacy-aware monitoring.

A real time face detection that captures video from your webcam. Highlights detected faces with bounding boxes in the live feed.

Blaze Pose and YOLOv8 powered robot for real-time person tracking and fall-risk assessment. An Arduino-controlled mobile platform provides assistance to the tracked individual.

This project is designed to control light bulbs using a Raspberry Pi Pico.

yolov3 tensorflow object detection and report human movements in persian

스쿨존을 위한 스마트 내비게이션: Server & Client

Simple CV2 script for human detection

A deep learning project focused on detecting and classifying objects such as humans, vehicles, and drones from significant distances. Utilizing advanced object detection algorithms, it achieves high precision and supports real-time processing.

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera