Best Facial Recognition Software

Luxand FaceSDK is a cutting-edge, cross-platform software development kit designed to deliver high-performance face recognition, identification, and facial feature detection. Perfect for software developers worldwide, Luxand FaceSDK integrates seamlessly with web, desktop, and mobile applications, enabling face-based user authentication, as well as automatic face detection and recognition, elevating the user experience to new heights.

The 3DiVi Omni Platform is an integrable face recognition system designed to analyze images and video streams, offering capabilities such as face detection, tracking, and identification. It supports features like face identification by control lists, recognition of masked or partially covered faces, and provides integration through an API and an admin web interface. The platform is optimized for high performance, capable of processing large-scale databases efficiently, and is suitable for various applications, including access control and video analytics. Deployment options are versatile, supporting both on-premise and cloud environments, with compatibility across multiple operating systems. Additionally, the Omni Platform offers services such as market analysis, implementation support, and flexible licensing models to assist clients throughout all stages of deployment.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for developing better, faster and stronger AI. We help our customers create innovative solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. The platform comes with the broadest repository of pre-trained, out-of-the-box AI models built with millions of inputs and context. Our models give you a head start; extending your own custom AI models. Clarifai Community builds upon this and offers 1000s of pre-trained models and workflows from Clarifai and other leading AI builders. Users can build and share models with other community members. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been recognized by leading analysts, IDC, Forrester and Gartner, as a leading computer vision AI platform. Visit clarifai.com

Eden AI simplifies the use and deployment of AI technologies by providing a unique API connected to the best AI engines. Your time is precious: we take care of providing you with the AI engine best suited to your project and your data. No need to wait for weeks to change your AI engine. You can do it for free in a few seconds. We make sure to get you the cheapest provider while ensuring equal performance.

Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

We make it easy to add superhuman computer vision to your applications, devices and processes to give you unassailable competitive advantage. No code, customizable & on-premise AI solutions.

NtechLab platform processes video and recognizes human faces, bodies and actions, as well as cars and plate numbers. AI-powered technology enables record breaking accuracy and high speed of recognition. The multi-object and analytical capabilities of FindFace Multi unlock new scenarios for responding challenges of public sector and business. FindFace Multi quickly and accurately recognizes faces, human bodies, cars, and license plate numbers in a live video stream or in a video archive. Searching for faces, bodies, and vehicles in a database or in an archive is available both by a photo sample and by specific features, for example, by age, clothes color, or vehicle model. NtechLab developers are constantly improving recognition algorithms, increasing their performance and accuracy. With FindFace Multi it takes less than a second to detect a face in a video stream, recognize it, and search for a match in a database with billions of images.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

FaceFirst helps customers create safer communities, great customer experiences and personalized service through face recognition and AI. Using the FaceFirst platform, retailers, transportation centers, law enforcement agencies and other great organizations can stop crimes before they happen and improve customer engagement and loyalty. FaceFirst is highly accurate, scalable, secure and private. The platform enables a full range of surveillance, customer engagement, mobile, access control and desktop forensic face recognition capabilities. FaceFirst offers a robust API and SDK for integration into a variety of systems and platforms. Scale without performance loss, sharing data across unlimited locations. Maintains high performance with challenging angles and lighting conditions. Works with virtually any camera provider or camera-enabled device. Easily add face recognition into your existing application, with robust API/SDKs.

The BriefCam® complete video content analytics platform drives exponential value from surveillance system investments by making video searchable, actionable and quantifiable. The unique fusion of VIDEO SYNOPSIS® and Deep Learning solutions enable rapid video review and search, face recognition, real-time alerting and quantitative video insights. Improves post-event investigation productivity by pinpointing people and objects of interest with speed and precision. Real-time alerting capabilities enable organizations to proactively respond to situational changes in their environment. Extract and aggregate video metadata such as men, women, children, vehicles, size, color, speed, path, and more, enabling users to quantitatively analyze their video. BriefCam’s comprehensive and extensive video content analytics platform is deployed by law enforcement and public safety organizations, government and transportation agencies, major enterprises, healthcare and educational institutions.

iOmniscient has been a leader in using Artificial Intelligence technologies to create solutions for a host of industries- from oil and gas to smart cities. We have pioneered AI techniques that have created a new paradigm to analyse data from crowded and complex environments and provide the user with real time responses. Artificial intelligence enables our systems to have high levels of accuracy and low false alarm rates even in difficult situations. Bringing together a number of different video, sound and smell analytics technologies, iOmniscient systems can automatically find the nearest responder with information on where to go and what to do. This can reduce response times significantly which is important for Mission Critical Applications. Such systems enhance your productivity and increase the return on your investment.