EagleEye is an open-source intelligence tool and image-based person finder designed to locate social media profiles and online identities. It functions as a reverse image search utility that matches target photographs against public profiles across various platforms.
The main features of thoughtfuldev/eagleeye are: Reverse Image Search Tools, Facial Recognition, Social Profile Searches, Identity Data Aggregators, Social Media Research Tools, Image-Based Person Finders, OSINT Person Discovery, Social Media Footprinting.
Open-source alternatives to thoughtfuldev/eagleeye include: vladmandic/human — Human is a TensorFlow.js computer vision library used for face, body, and hand tracking within the browser or Node.js.… timesler/facenet-pytorch — facenet-pytorch is a facial recognition library for PyTorch that provides pretrained neural networks for detecting… seetaface/seetafaceengine — SeetaFaceEngine is a C++ face recognition engine designed to detect, align, and identify human faces. It functions as… boltgolt/howdy — Howdy is a biometric authentication system for Linux that uses infrared cameras to provide passwordless login and… serengil/deepface — Deepface is a comprehensive deep learning library for facial recognition and demographic analysis. It provides a… cmusatyalab/openface — Openface is a deep learning toolkit designed for facial recognition and identity verification. It provides a…
facenet-pytorch is a facial recognition library for PyTorch that provides pretrained neural networks for detecting faces and extracting facial embeddings. It includes an MTCNN face detector for locating faces and landmarks, alongside an InceptionResnet face encoder to convert facial images into high-dimensional vectors for identity verification. The project provides tools for identity recognition by comparing facial embeddings using cosine similarity. It also supports facial video tracking to maintain identity consistency across consecutive frames and allows for the fine-tuning of pretrained
SeetaFaceEngine is a C++ face recognition engine designed to detect, align, and identify human faces. It functions as a native library that performs facial analysis without relying on external third-party software libraries. The system utilizes a convolutional neural network framework for facial feature extraction and identity matching, representing identities as numerical feature-vector embeddings. It employs a funnel-structured cascade schema for real-time face localization and stacked auto-encoder networks to normalize facial orientation through landmark alignment. The toolkit integrates
Howdy is a biometric authentication system for Linux that uses infrared cameras to provide passwordless login and privileged access. It functions as a Pluggable Authentication Module to integrate facial recognition into the standard Linux authentication pipeline. The system relies on near-infrared camera feeds and facial models to verify identity, ignoring visible light interference. Biometric data is stored as encrypted mathematical templates on the local disk to ensure that facial models are not transmitted over a network. The project includes tools for face model management, infrared came
Human is a TensorFlow.js computer vision library used for face, body, and hand tracking within the browser or Node.js. It provides a framework for human pose and gesture tracking, facial recognition, and biometric liveness detection to verify a live human presence. The project distinguishes itself through a full suite of identity and motion tools, including a facial recognition framework that generates embeddings for similarity matching and a background segmenter for separating humans from their environment. It incorporates a liveness detector to prevent spoofing during facial analysis. The