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.

Easily integrate our Computer Vision API to add some Machine Learning magic to your app. At inferdo, we pride ourselves in our ability to offer state-of-the-art, pre-trained deep learning models, but also our ability to efficiently serve them at scale. That means we can pass the savings on to you! Simply provide an image URL to our API and we'll handle the rest. Use our Content Moderation API to flag possible inappropriate content in your images. This model is trained to detect nudity and NSFW content in images, both real and drawn. Check out our API cost comparisons here vs our competitors. Use our Image Labeling API to add semantic labels to your images. This model is trained to classify thousands of unique labels across a wide verity of categories. Use our Face Detection API to detect the location of human faces in your images. Need more information? Then use our Face Details API to detect faces, gender, age, and other facial features.

SenseFoundry is a one-stop software platform tailored for Smart City management, addressing the needs of customers in the public sector. SenseFoundry Enterprise is our software platform to facilitate and accelerate the digital transformation of our enterprise customers, addressing complex demands from different industry verticals. We work with city administrators to build future-oriented urban management platforms. Integrated with the IT infrastructure of cities, our SenseFoundry software platform, powered by AI models, transcribes raw and real-time city visual data into insights, alerts and actions. SenseFoundry is used to monitor the conditions of public facilities such as fire hydrants, manhole covers, power poles and road signs. It is also used to track incidents, such as traffic accidents, fire and smoke, emergency exit obstructions, exposed garbage, road damage and unauthorized parking. It also tracks the impact of natural disasters such as flooding and typhoons and more.

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.

Always know who’s at your front door. Xailient’s Face Recognition Edge AI technology gives users the ability to recognize peoples’ faces, so they’ll always be able to see who’s visiting. CVOps is a category that describes the enterprise business process, job role, and enabling tools for delivering Computer Vision in production. Orchestrait is the world’s first privacy-safe Face Recognition solution that uses state-of-the-art Edge AI to ensure full compliance with biometric data and privacy protection laws across all jurisdictions. Collect data in a responsible and targeted way. Xailient’s Privacy Safe Data Collection technology allows you to collect only the data that you need. Xailient’s Edge AI technology will know that something is approaching the home from as far away as 8 meters. Motion detection is the first step to completing further detection analysis.

Paravision provides a computer vision developer platform that powers face recognition applications serving mission-critical use cases. Our SDK's and API's enable comprehensive security and frictionless experiences and are powered by an industry-leading feature set. Our SDKs and Vision AI engines can be integrated into modern, secure infrastructure. We also build advanced solutions for identity-based security threats, like spoof attempts and deepfakes. Utilizing the most advanced AI frameworks and partnered with leading providers of hardware accelerators for AI and deep learning, Paravision delivers speed, scalability, and responsiveness while lowering operating costs. Paravision is proud to be a US-based leader in Vision AI. Whether in technical partnership, working through end-user challenges, or collaborating on market strategy, we strive to be dynamic, responsive, and focused on delivering excellence.

Enables a live unified view of multiple sites from any device and history up to 10x faster than on-premises systems. The first cloud-native video surveillance platform with AI and computer vision analytics for better and more cost-effective enterprise security. Eliminates security risks, no video or data is stored or accessed on the network. Significantly reduce IT server management and maintenance costs versus on-premises or hybrid systems. Simplifies site management and provides centralized administration. Scales to an unlimited number of locations and cameras. Cloud video surveillance systems are easy to manage, use and install. The user-friendly interface makes set-up a breeze. No special technical skills are required. Advanced vehicle and people detection, counting, classification, license plate recognition, wrong-way detection, etc. Search by social distance violation, know how many people are in space and their physical distance.

Discover unprecedented speed, accuracy, and flexibility in the only automatic license plate recognition solution that scales with your needs – built 100% in-house by Rank One Computing. Our cutting-edge ALPR software can automatically read and recognize license plates from video files or images captured on any device – even in challenging environments like low-light, high-motion or angled images. Get more comprehensive search results with a system that provides approximate plate matches, even when inputted characters are incorrect or only partially captured by the system. After an incident, automatically search surveillance footage for a known vehicle by the license plate. From law enforcement to commercial security and federal investigations, our license plate recognition technology is trusted by technology leaders across the country and around the world.