Finding vulnerabilities through simulated attacks involves analyzing a web application through its front end, a method known as dynamic application security testing, or DAST. This kind of methodology attacks an application as a malevolent user would, evaluating it from the "outside in."
A software testing technique called static application security testing (SAST) is intended to find security flaws in applications by examining and evaluating their source code, byte code, and binaries for coding and design issues.
The ability of a computer to recognize that it is interacting with a real person in the actual world rather than a spam bot, inanimate spoof artifact, or artificially generated video or data is known as "liveness detection" in biometrics.
In this post, I would like to share how to detect head position movement. To enable the head posture estimate, it integrates 3D to 2D mapping. The roll and pitch of the human head movement are the estimated parameters, which are verified against a range of values.
Integra Mobile Face Biometrics is part of Integra Unified Face Biometrics. Integra Mobile Face Biometrics is intended for the Android mobile operating system.
Tailscale is a secure, peer-to-peer VPN (Virtual Private Network) solution that allows individuals and organizations to easily and securely connect their devices and networks over the internet.
In this post, I will share how to speed up the Ghost CMS site for visitors by utilizing Varnish Cache, and how to clear the cache using webhooks in the macOS ecosystem.
Cockpit is a system administration tool that provides a user interface for monitoring and administering servers through a web browser. It allows you to monitor current values and adjust limits on system resources, control the life cycle on container instances, and manipulate container images.
The OpenAI Whisper is a speech recognition model that is open-source and available on GitHub. It is a multi-task model that is trained on a large dataset of diverse audio and can perform multilingual speech recognition, speech translation, and language identification.
Generative Pre-Trained Transformers, or GPTs for short, are a family of neural network models that can produce text and content that resembles that of a human using transformer architecture.
This post is about a proof of concept on real-time multiple-face recognition. Starting from face detection, face training, and face recognition using Python.
In this post I will share how to implement publishing and consuming text scening and recognition by using RabbitMQ and Tesseract.