Crack Interface lockscreen, Metasploit and More Android/IOS Hacking
The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS…
Python library for reading and writing image data
Your target's phone's front and back cameras📸 can be accessed by sending a link🔗.
A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.
Cross Platform Rust Library for Powerful Webcam/Camera Capture
👁️ (s)AINT is a Spyware Generator for Windows systems written in Java. [Discontinued]
ShotDroid is a pentesting tool for android. There are 3 tools that have their respective functions, Get files from Android directory, internal and external storage, Android Keylogger + Reverse Shell and Take a webcam shot of the face from the front camera of the phone and PC.
javascript access webcam stream and take photo
Webcam, PiCamera streaming over the network with Python made easy.
Webcam capture capability for Cobalt Strike as a BOF, with in-memory download options
This package implements a complete SpyWare.
Advanced Keylogger in Python with screenshot, microphone, webcam pictures taking capabilities and also Collects Network/Wifi Info, System Info, Clipbaord Data, Browser History and then send these files through email.
Madpharma - A convenient pharmacy management system developed by PHP and Codeigniter framework.
IP/Web camera stream viewer and recorder
[JS/TensorFlow] JavaScript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement three neural network models for human pose estimation: MoveNet, PoseNet, and BlazePose. No Node.js is required. TensorFlowJS was used, and an example app is included.
Capture an image from the webcam of your system and save it to your machine.
Turn your Android phone into webcam.
🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.
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