C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

VeilTransfer is a data exfiltration utility designed to test and enhance the detection capabilities. This tool simulates real-world data exfiltration techniques used by advanced threat actors, allowing organizations to evaluate and improve their security posture.

🛡️ High-performance WAF & CDN detection tool. Identify protection layers (Cloudflare, Akamai, AWS, Fastly, and more), run effectiveness and enforcement tests with evasion payloads, and generate posture reports. Built in Rust 🦀.

Real-time lateral sitting posture detection to predict good and bad postures using YOLOv5

Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.

This work presents a supervised learning approach for training a posture detection classifier, and implementing a fall detection system using the posture classification results as inputs with a Microsoft Kinect v2 sensor. The Kinect v2 skeleton tracking provides 3D depth coordinates for 25 body parts. We use these depth coordinates to extract seven features consisting of the height of the subject and six angles between certain body parts. These features are then fed into a fully connected neural network that outputs one of three considered postures for the subject: standing, sitting, or lying down. An average classification rate of over 99.30% for all three postures was achieved on test data consisting of multiple subjects where the subjects were not even facing the Kinect depth camera most of the time and were located in different locations. These results show the feasibility to classify human postures with the proposed setup independently of the location of the subject in the room and orientation to the 3D sensor.

Webripper Pro is a comprehensive, professional-grade web vulnerability scanner that automates the detection of security flaws in websites. It is designed for penetration testers, bug bounty hunters, and security professionals seeking fast, actionable insights into the security posture of web applications.

Deep learning sitting posture detection based on multimodal datasets（基于深度学习的多模态坐姿检测系统）

This project detects a person (from images, videos and from real time webcam) in different postures using HOG features and SVM classifier.

Enhance your posture with Machine Learning

Human Pose Detection model using PoseNet pre-trained model

Realtime detection of incorrect sitting posture

Explore the world of non-verbal communication like never before with our Body Language Detection solution. Utilizing the advanced capabilities of MediaPipe and OpenCV, we provide real-time insights into human gestures, postures, and facial expressions.

Detecting Sitting Posture via webcam and Improving habits with Python

Public places like restaurants and certain other viable places like banks or ATM’s are in need of constant supervision against amoral and undesirable activities. These undesirable activites are often markedly preceded by apparent behavioral quirks. However, constant manual monitoring using security cameras may miss abnormal cues preceeding unpleasant consequences due to human error. Picking up these quirks can improve the efficiency of monitoring any public place.This project attempts to semi-automize the security system using machine learning and image processing techniques to increase the efficacy and accuracy in the prediction of abnormal behaviour.

PosturePro is a real-time posture detection system that uses a webcam and computer vision to monitor and alert users of poor posture. It helps promote healthier sitting habits by tracking key body points and providing instant feedback on posture alignment.

Codes for smart phone posture estimation and step detection as well as android demo app

Threat-informed defense and cyber threat intelligence (CTI) analysis platform that correlates APT groups, MITRE ATT&CK tactics and techniques, CVEs, and detection data to help analysts prioritize hunts and strengthen defensive posture.

pythonFlask+音视频SDK+OpenVino+OpenPose实现网课场景坐姿检测

Powerful motion analysis & tracking React SDK that easily integrates into your platform. Ready made Workouts, Plans, AI assessments, movement & exercise rep-count, movement calorie-burn rate, workout performance metrics, app engagement tracking, range of motion, fatigue detection, fall detection, injury prevention, posture & alignment monitoring

AI-powered multi-camera surveillance with posture classification, fall/inactivity detection, heatmaps, and real-time alerts. Built using OpenCV, MediaPipe, Streamlit & Flask.

Toolbar application that leverages OpenCV's powerful computer vision capabilities and MediaPipe's pose detection to create an intelligent posture monitoring system. Running discreetly in your system tray, it provides real-time feedback and gentle reminders when your posture needs attention.

Posture correction using computer vision and Mediapipe library enables the detection and correction of poor posture in images and live videos, promoting a healthier lifestyle in the digital era.

头部姿态检测（dlib+opencv）Demo

Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com

This project presents a fast and efficient technique for recognition of continuous hand gestures with a stationary background from video stream. The system consists of four modules- A real time hand tracking module, contour extraction module, tracker detection module, and gesture recognition. First of all, real-time hand tracking and extraction algorithm is applied to trace the moving hand and to extract the hand region, and then motion analysis is performed to characterize the temporal features. We then extract the tracker position from the image. This tracker posture is recognized as a hand gesture. Now it is matched with a set of pre-defined gestures to know its meaning. Before matching gesture, preprocessing is performed to remove other part of human body and to select only part of hand showing some useful gesture.

PosturePerfect - A communication enhancer project PosturePerfect - A communication enhancer project Aug 2023 - Nov 2023Aug 2023 - Nov 2023 -Gesture Detection: Detect hand gestures in real-time to enhance communication clarity. -Posture Correction: Receive feedback on maintaining correct posture for effective communication.

SalatPose is an innovative AI-powered system designed to accurately detect and recognize key postures in the Islamic prayer ritual (Salat). Leveraging advanced deep learning algorithms and computer vision techniques, the system identifies essential salat postures such as Ruku (bowing), Raising, and Takbeer (standing),

A machine learning project which detects yoga postures and the accuracy of it as well.

Sitting posture identifier that identifies your sitting posture, giving insights and serving as a base model for extended use in the medical field. Application: https://posture.jonathanlawhh.com/