Top Open Source Face Recognition Software (Free & Paid)
List of Best Open Source Face Recognition Software Free and Paid OpenBR
It is a communal biometrics framework that supports the development of open algorithms and reproducible evolutions.
Key Features of OpenBR
It is a complete NIST compliant software It works on a C++ API that can be embedded into one’s applications Mature Core Framework Flexible Plugin System It supports Open And Closed Source Development Makes use of Off-The-Shelf Algorithms Evaluates facial recognition, detection, and land-marking It implements the 4SF2 algorithm to detect faces It provides an estimate for age and gender
Flandmark
This is an open-source C library (with MATLAB interface) that implements a facial landmark detector in static images.
Key Features of Flandmark
It is an open-source C library with an interface to MATLAB. It can be used in Python programming language. Each frame is processed separately by Flandmark or Facial Landmark Software. It relies on Deformable Part Models (DPM) for structured output classifier.
Truein Face Attendance
It is a cloud-based touchless attendance system that runs on any Android or iOS device and doesn’t require complicated hardware. It assists in Office attendance, Contract staff attendance. It comes with a standard and premium pricing.
Key Features of Truein Face Attendance
Self Registration HR and Payroll GPS Location analytics and Reporting Mobile App Dashboard Face recognition based and touchless Attendance via Kiosk app Geo-fenced attendance via user app User/Admin app (Android/IOS) Admin web dashboard Multiple reports and analytics Contract workers attendance
OpenFaceTracker
This software is a facial detection program that enables detecting one or many faces on a picture/video; identifies via a database.
Key Features of OpenFaceTracker
This face detection software can fetch and process images in real-time by identifying and stocking the data. It needs OpenCV3.2, QT4 installation before OpenFaceTracker software. It makes use of Open API for deployment and operates on a Windows-based system. This tool has been created as a modular library and it thus can enable or disable some part of the software.
Open EBTS
This is a part of the Open Biometrics Initiative (OBI) which is an open-source project and forum managed by ImageWare Systems. It is available for inclusion by anyone participating in the open-source community.
Key Features of Open EBTS
It is used along with biometric devices in the government sector. It makes use of two open-source API’s: OpenM1 API and OpenEBTS API.
Darwinbox HR
Darwinbox is an end-to-end HCM solution that is built to empower human resource management. It caters to all employee needs right from hiring, on-boarding, right through engagement and performance management till the exit process.
Key Features of Darwinbox HR
Asset Management Attendance management Bonus, Loan & Advances Management Document Management Email Integration Employee Self Service Management Exit Management & Seperation Management Expense Management Help Desk HR & Payroll Mobile Support Multi User login & Roll-based access Payroll Management Performance Management Project Management
iFace – Bioenable
It is a unique face recognition access control system used in time attendance and access control system.
Key Features of iFace – Bioenable
It makes use of identification methods for face, card, finger and password detection. Some optional functions of the system include Mifare Contactless Smart Card, WiFi, HID Prox Card and GPRS. Standard functions include Access Control, Push Data, TCP/IP and EM Card.
vFace – Bioenable
This panel is used as an attendance and time terminal with a simple access control function. It is used to capture the relative position, shape, size of the user’s nose, eyes, cheek, bones, jaw features to ensure the accuracy of the identification.
Key Features of vFace – Bioenable
This software is available in an elegant ergonomic design It uses the infra-red optical system and works even in minimal lighting It makes use of TCP/IP and USB host for communication support It is mostly used in government projects, management sectors, civil projects, corporate houses, banks, and security
Face++
It can save a detected face for future analysis. It can locate up to 106 high-precision facial keypoints. It also enables advanced effects like face stickers and 3D animated models.
Key Features of Face++
Unlimited Number of Faces Adapt to Various Scenes Fast and Accurate Multiple International Awards Fraud Detection High Accuracy Newer Version of Body Outline FaceID Identity Verification Solution Skeleton Detection Officially Launched It gives high-precision face location rectangles Alipay Available Online It comes with two licensing plans as per Mobile SDK and other SDK’s that can be tested for free It offers a free API key as a free trial along with the license It comes with an integrated anti-spoofing technique, frequent model updating The detected faces are stored in faces
DeepFace
This tool detects and locates human faces within an image and returns high-precision face bounding boxes. Face detection is followed by analysis and face processing.
Key Features of DeepFace
It is a lightweight facial attribute analysis framework. It leverages a labelled dataset of faces to obtain a generalized dataset representation. It is quick and shows results in real-time. It facilitates different attributes by simply uploading a local image, analyzes an image based on age, gender, eye-open/close, head pose, the colour of skin etc. This software also facilitates database creation based on face and search based on a given image or name.
FaceFirst
This software is used to empower organizations to detect real-time threats, transform team-performance, and strengthen customer relationships.
Key Features of FaceFirst
It is scalable, fast and accurate. It maintains the highest levels of security and privacy. It provides surveillance, access control, mobile face recognition, biometric data etc. It allows data sharing to multiple locations. It can detect face with maximum accuracy with minimal lights. The deployment process takes two minutes. The face detection alerts are sent via push notifications, email or SMS. It is flexible and works on a centralized and distributed deployment architecture.