SkyBiometry Alternatives

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic and chapter detection, sentiment analysis, translation, and more. Speechmatics processes over 500 years of transcription worldwide every month in 50 languages and can translate 69 language pairs. Having pioneered machine learning in speech recognition, its neural networks consider acoustics, languages, dialects, multiple speakers, punctuation, capitalization, context, and implicit meanings.

Know the real identity of your customer, user, or employee with the Udentify Identity Verification and Biometric Authentication solution. Challenges we solve: - Identify verification - Onboarding - New account opening - Age verification - Fraud prevention - Biometric authentication - Passwordless authentication - Strong customer authentication - KBA replacement - KYC and AML compliance Behind the scenes, Udentify embeds cutting-edge technologies into our identity verification and biometric authentication solution via a lightweight and flexible SDK. We are constantly investing in our technologies to stay at the forefront of fraud detection, compliance, and user experiences.

ARGOS Identity is an identity verification service provider (Identity as a Service). Get everything you need for Identity verification at ARGOS. We provide services to help you identify Anyone Anywhere Anytime! Providing simple KYC implementation for identity verification.​ We empower our clients to deliver a seamless digital onboarding experience. Build your identity management system around your business goals and offer your customers a smooth, hassle-free KYC experience. FACE Identity is a section of user onboarding that utilizes facial recognition technology to search for matching faces within a collection of stored faces. This service helps alleviate the ARGOS Document Analyzer is an AI-powered solution that automates the extraction and review of critical data from a wide range of documents, reducing the time and cost of manual verification.

Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .

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.

Ondato is a tech company that streamlines KYC and AML-related processes. We're providing advanced technological solutions for digital identity verification, business customer onboarding, data validation, fraud detection, and more. All of them meet the highest quality standards available for KYC online or offline onboarding for all business and customer types orchestrated from a single interface. We're turning compliance into a business benefit by creating a safer environment for organizations and individuals alike.

Integrate Face Recognition via our cloud API, or host Kairos on your own servers for ultimate control of data, security, and privacy, start creating safer, more accessible customer experiences today. The leading face recognition AI company with an ethical approach to identity, that reflects our globally diverse communities. Through computer vision and deep learning, we recognize faces in videos, photos, and the real-world, our innovative API platform simplifies how developers and businesses integrate human identity into their software. Kairos provides state-of-the-art, ethical face recognition to developers and businesses worldwide. Kairos enables developers and businesses to easily build face recognition into their software products, integrate with our API today. Find human faces in photos and images. Detects age groups, child, young-adult, adult, or senior, and detects gender of each face found, female or male.

Embed facial recognition into your apps for a seamless and highly secured user experience. No machine learning expertise is required. Features include: face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images. Recognize faces according to diverse attributes. Add facial recognition to your apps, all through a single API call. Run Face in the cloud or on the edge in containers. Rely on enterprise-grade security and privacy applied to both your data and any trained models. Detect, identify, and analyze faces in images and videos. Build on top of this technology to support various scenarios. Detect one or more human faces along with attributes.

Our image and video recognition APIs are proven, highly scalable, and leverage deep learning technology that you can implement within your own applications without prior knowledge of machine learning expertise. EyeRecognize’s suite of image and video recognition API services allow you to identify objects, people, text, scenes, and activities in images and videos, as well as detect any faces and NSFW content. Face Detection and Analysis, detect all face in images and video and get attributes such as face location, gender, age, eyes, and even emotion. Text Detection, extract text from images such as license plates, street signs, advertising, and brand names. Identify NSFW "Not Safe for Work" and other potentially inappropriate content across both image and video. The team behind EyeRecognize has been collectively developing artificial intelligence powered applications for over 40 years and first pioneered the use of machine learning to automate content moderation for social media.

RECOGNITO is a global leader and trusted provider of face biometric verification and authentication solutions that are fully optimized for usability, security, and privacy. With RECOGNITO's NIST FRVT Top 1 Face Recognition technology, clients provide safer environments for their valued customers, patients, guests, employees, and associates. - Product • Face Recognition SDK: 🏆 NIST FRVT Top 1 Face Recognition Algorithm • Face Liveness Detection SDK: DeepFake Detectable, 2D/3D Liveness Detection Algorithm • Face Attribute Analysis SDK: Age, Gender, Emotion, Facial Pose, Mask, Glass and ethnicity etc - Features • On-premise, Fully offline and On-device SDK • Compact Library-type SDK for easy on-premise installation. • Simple and comprehensive API.

We offer ready components, such as face recognition SDKs, as well as custom software development services and hosted web services with a focus on image and video analysis, faces and objects recognition. Our technology is used by video and images archives, web advertising and entertainment projects, media content producers, video surveillance and security software solutions, end user and b2b software developers and others. Betaface facial recognition suite embraces whole range of complex operations from fundamental face detection through face recognition (identification, verification or 1:1, 1:N matching) to biometric measurements, face analysis, face and facial features tracking on video, age, gender, ethnicity and emotion recognition, skin, hair and clothes color detection, hairstyle shape analysis and facial features shape description. Our technology is used by video and images archives, web advertising and entertainment projects.

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.

Detect and locate human faces within an image, and returns high-precision face bounding boxes.Face⁺⁺ also allows you to store metadata of each detected face for future use. Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Use Face⁺⁺ Detect API to detect faces within images, and get back face bounding box and token for each detected face. You can pass the face token to other APIs for further processing. Detect API also allows you to get back face landmarks and attributes for the top 5 largest detected faces. All APIs can be used for free, and you can flexibly upgrade to paid service according to your business volume by Pay As You Go service or QPS solution. SDK licensing options are also available on various devices. Face⁺⁺ allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.

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.

Founded in 2022, Facia specializes in biometric authentication and facial recognition technology. We leverage advanced AI and ML algorithms to deliver secure solutions for businesses. Our 3D liveness detection technology offers rapid responses in under a second, achieving a 0% False Acceptance Rate (FAR) with an FRR below 1% to prevent unauthorized access. Our services include 1:1 Photo ID Verification, 1:N Face Search, and Age Verification. We offer customizable API and SDK integration options for seamless compatibility. Our system provides real-time 3D face verification, ensuring speed and precision without compromising security. We protect against print and mask-based spoofing. Facia is dedicated to advancing biometric authentication, providing secure identity verification solutions for businesses.

Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment. The face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on the LFW dataset in University of Massachusetts tests in 2020 MIT LFW. The Oz Biometry module allows identifying people with less than 1-second speed and 99.87% accuracy. Since the beginning of the 2010s, every smartphone has a front camera, making facial biometrics a natural way for authentication. Face biometry can be used both in the registration process and in the process of searching and authentication on large biometric databases. Facial biometrics are used in the KYC process to compare selfie photos with photographs from documents and confirm the presence of a user in biometric “black” and “white” lists.

RecFaces Id-Guard is a software developed for video surveillance and security systems that allows you to expand the functions of a classic video surveillance system using identification in the video stream. Main features: Fast installation in 20 minutes Integration with world leaders Movement tracking at the facility All face recognition capabilities for your real-time video surveillance system: - Instant notification of the operator about alarming events at the workplace or through a mobile application; - Improving the accuracy of identifications during operation due to self-learning of the system and auto-update of the profile base; - Efficiency of incident investigation using parametric search in a long-term archive; - Fast search for people in the archive by photo, video or verbal description of facial features, hair, glasses, etc.; - Simple construction of complex reports, including the routes of people moving on the facility’s maps in the system.

The technology allows a depth analysis to be performed when two faces are being compared in the system. It will analyse and obtain the threshold of similarities between the two faces. With our highly efficient security system and large business data platform, we have synthesised high-quality large-scale data training sets. Coupled that with the use of deep neural network training, the technology is able to deliver effective face detection algorithms that detects faces accurately in various situations and the two faces can be compared with high precision. WISE AI is an established ASEAN-based Artificial Intelligence (AI) platform company specialized in facial recognition (FR) technology. With local offices in Singapore, Malaysia, Thailand, the company offers both business and consumer-oriented AI products and services. WISE AI works closely with System Integrators to provide their customers from various industries with AI powered solutions.

MiniAiLive is a provider of Touchless Biometrics Authentication, ID verification solutions. We offer strong security solutions with cutting-edge technologies for facial recognition, liveness detection, and ID document recognition. We also ensure that these solutions seamlessly integrate with our clients’ existing systems. MiniAiLive face recognition app is an advanced face recognition app designed to provide secure and reliable access control solutions with the added layer of passive liveness detection. Our app ensures that only authorized individuals gain access to sensitive areas, accounts, or services, while minimizing the risk of unauthorized access through spoofing or impersonation attempts.

Welcome to FaceOnLive, the leading provider of fully On-Premises Biometrics & ID Verification Solutions. Our robust suite of services includes state-of-the-art technologies such as Face Recognition, Face Liveness Detection, ID Document Recognition, ID Document Liveness Detection, and Touchless Fingerprint Recognition. With our cutting-edge solutions, businesses can enhance security, streamline processes, and combat fraud effectively. Whether for customer onboarding, access control, or fraud prevention, our comprehensive platform ensures secure and reliable identity verification. Join us in shaping the future of biometric authentication and ID verification with FaceOnLive. Experience the unparalleled accuracy, efficiency, and security of our advanced biometric solutions. Elevate your security standards and stay ahead in today's rapidly evolving digital landscape with FaceOnLive's innovative biometric solutions.

The FaceTec interface makes 3D Liveness Detection and 3D Face Matching fast, easy, and incredibly secure for everyone, regardless of their device. During onboarding, FaceTec’s two-second video-selfie verifies 3D liveness, matches the user’s 3D Face to their Photo ID, OCRs the text on their ID, and sets up their new account. Every time they return, FaceTec’s ongoing user authentication again proves 3D Liveness and compares their new 3D FaceMap to the one stored from onboarding. If they match, they get instant access; no password required! Login from any smartphone, tablet, PC or Laptop, and unlock everything from your car door to your bank account. Real users gain access easily, but bad actors, bots and hackers are rebuffed by level 1&2 anti-spoofing certified by NIST/NVLAP. FaceTec is the 3D face matching market leader and provides more security, flexibility, and convenience than any other biometric modality.

FaiSentry includes a cluster-based architecture that provides effective scalability, robustness, and future-proofing, along with the option of hosting on-premise or in a data center. Going beyond passwordless login, FaiSentry enables efficient and frictionless identification of multiple individuals from a single image, with results returned within a fraction of a second. Our facial biometric engine combines enterprise-grade security and ease of use, creating the optimal business and client experience. In contrast to other face authentication products on the market, Aculab, combined with AI-driven technology, has created a solution impervious to race and gender biases. A single camera can monitor key entry and exit points, with FaiSentry identifying multiple individuals simultaneously from each image.

Developers, businesses and system integrators upgrade your facial recognition applications performance with a few lines of code whilst preserving your customer’s privacy. Integrate with Biometric Vision’s next generation AI-powered algorithm in minutes and increase the accuracy, speed and performance of your facial recognition apps. 99.99% accuracy in the most challenging of conditions. A 0.006% error rate tested against 1 million ethically sourced face images. AES-256+ end-to-end encryption and a proprietary method for storing face templates as anonymous alphanumeric code (binary), i.e. non-reversible. We do one thing really well and that’s facial recognition algorithms. Providing access to our 1:1 and 1:N algorithms.APIs are made for leveraging the power of connectivity. Our cloud hosted API is suitable for any environment, on any platform, physical or virtual. Our API promotes innovation, opportunities to scale and make monetization easier.

Finding affordable, turnkey solutions that can quickly plug into existing systems to scale up operations. eConnect's Identity Management system, eClear 360, leverages multiple data integrations and ties them to our industry-leading facial recognition algorithm. This opens the door for new insights, opportunities, and revenue protection, all from one platform. Key capabilities include: Identifying anonymous high-value patrons, their gaming value, and frequency of visits, detecting excluded patrons, advantage players, and patrons who have committed crimes in the past, a great tool to help the operator with know your customer mandates. The Identity Management system employs patented technology to provide operators with accurate facial identification reinforced with data analytics to identify staff members for time-clock integrations, detect unwanted individuals or valued guests, and improve operational efficiency.

We protect millions of people in cities by empowering security professionals with massive AI and organized communication. Kipod enables instant search across the Big Data of CCTV video and real-time crime detection, using the most advanced machine learning algorithms. Isolation tracking by facial recognition. Instant alarm if crowding is detected in public spaces during coronavirus (COVID-19) and other dangerous infections. Find a person of interest by simply uploading a photo and receive instant results determining where and when this person was spotted. Find a person by age, race, gender, glasses, and other features. Validate the results instantly against all the criminal records. The Kipod cloud architecture enables secure, resilient, and easy deployment across unlimited cameras to unlimited users. Manage shared resources for thousands of users from multiple organizations. Provide granular access to video data, search features, databases of people and vehicles.

Designed for smart surveillance, FaceMe® Security is a value-added solution that runs on PC, workstations, servers, and integrates into VMS (video management systems). It detects individuals within a crowd through their face and can identify them by matching the live capture with profiles kept in a database, even for people wearing a mask. It also displays their body temperature, detects anyone not wearing a mask properly over their nose and mouth and highlights block-listed people. It can send real-time alerts to security personnel or other people in the organization. FaceMe® Security Central compares the extracted facial templates with the database in order to confirm identity. It also provides a web-based console to manage the Microsoft SQL based face database, configure IP cameras, and inform relevant personnel about registered visitors, VIPs, block-listed people, or employees entering each monitored area.

EMDYN recognizes that many organizations struggle to verify the identity of persons, especially in this interconnected and fast-changing world where an individual can easily hide, fraudulently mask or change their identity in various ways. Such actions can be used for malicious activities against different organizations. The tools currently available are mostly old-fashioned or restricted by privacy laws and cannot necessarily give the correct information on identity, let alone provide situational awareness to the organization. Current facial recognition systems are used for accreditation of a person against a passport or ID document, but are incapable of rapidly searching very large databases or video repositories for that same face, or linking that face to other information sources. But now we have a ready solution to these issues; one that is a key component in a genuine investigative tool, ultra-fast and user friendly. Welcome to EMDYN BioTrace.

FACEKI is a Facial Recognition authentication platform. FACEKI creates safer, more accessible user experiences for all, powered by state-of-the-art facial recognition technology. It's a highly secure cloud-based cross-devices technology. Which can be integrated easily with any online platforms, websites, and apps to provide them with a powerful facial recognition login and onboarding capabilities. FACEKI aim is to make login to accounts seamless, simple and more secure than ever.

We are a cybersecurity company specialized in fraud prevention and identity protection. Our mission is to provide secure digital experiences without friction, both for citizens and businesses, during the digital transformation process. We use different technologies applied for people recognition, based on their physiological or behavioral characteristics. Once the data has been captured, the system extracts a unique pattern for each individual, which will be used to make comparisons in the future. Transactional analysis of user behavior and channels for fraud detection and prevention. Secure, fast-response exchange of sensitive data through references to a vault of encrypted data. We provide a multi-channel fraud prevention solution that uses machine learning to create intelligent profiles and detect potentially fraudulent operations based on user behavior.

Innovatrics ABIS is a biometric identity management system supporting fingerprint, iris and facial recognition. Fast and accurate performance is achieved with minimal hardware requirements. Thanks to its modular architecture, our ABIS is easy to customize. Open APIs allow smooth integration with other systems to avoid vendor lock-in. We have successfully deployed our ABIS to hundreds of large scale biometric projects, including some of the most complex biometric systems worldwide. Utilizing our fingerprint, facial and iris recognition technology, you can easily get a solution tailored to your business processes. Our high-performing algorithms are consistently ranked among the best based on independent NIST tests. With our ABIS modules, you can build an identity management solution tailored to your needs. Add additional modules and upgrade when necessary. Our licensing policies are flexible to suit the needs of each project.

SentryFusion allows a more secure, multi-factor analysis for access control to critical resources and areas. SentryFusion includes a cluster-based architecture that provides effective scalability, robustness, and future-proofing, along with the option of hosting on-premise or in a data center. Identify a user's voice and face during a video call so that they may later be recognized during a voice conversation, video call, or image. With identity theft on the rise, MFA is increasingly used to prevent unauthorized access to customer data or financial resources. This opens up the possibility of better-than-real-time operation, even in large-scale authentication scenarios. SentryFusion provides near-instantaneous results, streamlining the authentication process and removing the unnecessary hassle for end users.

Sign up now to start using Lambda’s facial recognition & detection API. Though the online tool, input a URL and we’ll tell you if it contains any celebrities. You can also use the form provided to test out our face detection API. Send us a picture and we’ll tell you if it contains faces, where those faces are, and the location of facial features (eyes, nose, mouth). You’ll be calling the API using your Mashape Key. You’ll need to sign up for our API to get your key. An album is a set of labeled images. Albums are used to recognize new images that haven’t been seen yet. Let’s create our first album. Give the album a few labeled images to work with. The more images you give it, the more accurate the model will be. Note, you can give us either urls or files. Tell the album to build a model itself using the labeled images. Give the album an image to recognize. You can see that there are two options, urls and files.

You need accurate data. Surveys are rarely filled out. RFID and Bluetooth (BLE) solutions are complex and pricey. Each smart camera passively analyzes hundreds of faces and produces metrics such as impressions, demographics (age/sex), and positive sentiment (happiness) over time. Setting up a camera takes less than 12 minutes and you may access our live dashboard anywhere and anytime. Measure the happiness of people over time by analyzing hundreds of faces with over 95% accuracy. Gain valuable insights about which demographics are the most and least engaged. Perform A/B tests to examine the effectiveness of different activations and content to see what works and why. Obtain powerful data and insights for your sales, marketing, and research efforts. Automatically track the total number of impressions (non-unique) and measure average dwell time to understand people's behavior. Use ethical facial analysis to uncover unique insights about your audience.

CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. It simplifies the detection of unauthorized access to sensitive areas and/or your office security perimeter. It can be used for both collecting data for marketing and sales purposes and/or targeting ads to customers in real-time. It helps track employees and students to verify they’re where they should be. It detects customers upon entrance, allowing businesses to provide excellent customer service. It speeds up checking in at hotels, conferences, and airports. We designed CompreFace to be highly effective, versatile, and straightforward.

Based on the world-leading FaceVACS technology, we provide our customers with easy-to-use, scalable and customizable face recognition software, and offer easy integration of our products through open system architecture and professional support. ID issuance agencies can compare new ID photos to existing images and prevent ID fraud or detect clerical errors. In addition, agencies can perform database de-duplication (1:n or n:n) to compare, clean and maintain ID databases with facial images. FaceVACS-DBScan LE helps law enforcement staff to increase the speed and accuracy of criminal investigations, allowing them to act upon match results in the critical time period after a crime has been committed.

Luxand.Cloud stands at the forefront of facial recognition technology, crafting a future where security seamlessly intertwines with innovation. With precision and sophistication, our cutting-edge solutions redefine the landscape of identity verification. Elevate your digital security with seamless access control, unlocking a personalized and fortified experience. Trust in Luxand.Cloud to lead the way in safeguarding your digital frontier with unparalleled reliability. Join us on the journey to redefine the boundaries of security in the digital age. Luxand.cloud supports: - Face detection - Face recognition - Face verification - Emotion recognition - Facial landmark detection - Liveness detection - Face cropping

Welcome to FacePlugin, the leading provider of fully On-Premises Identity Verification Solutions. Our robust suite of services includes state-of-the-art technologies such as Face Recognition, Face Liveness Detection, ID Document Recognition and Palm print recognition Our face recognition algorithm is super fast and unbiased. Our liveness detection model can detect spoofing attacks including printed photo, video replay, 3D masks and deepfake. Our ID document recognition solution can recognize ID documents from 180+ countries and it can recognize all kinds of ID documents including ID card, Passport and Driver License. SDKs we offer - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint recognition SDK (Server) Programming languages: Python, Swift, Object C, Java, Kotlin, Flutter We provide free integration support.

To gain accurate and reliable data about facial expressions, FaceReader is the most robust automated system that will help you out. Clear insights into the effect of different stimuli on emotions. Very easy-to-use, save valuable time and resources. Easy integration with eye tracking data and physiology data. Many researchers have turned towards using automated facial expression analysis software to better provide an objective assessment of emotions. FaceReader software is fast, flexible, objective, accurate, and easy to use. It immediately analyzes your data (live, video, or still images), saving valuable time. The option to record audio as well as video makes it possible to hear what people have been saying, for example, during human-computer interactions, or while watching stimuli. FaceReader is the most robust automated system for the recognition of a number of specific properties in facial images, including the six basic or universal expressions.

Tech-driven consumer insights platform for Insights teams. Map insights across media, digital and shopper touchpoints, deliver customer experiences that resonate emotionally, optimize customer journey for increased conversions, gain emotion, attention, engagement and noticeability insights. Usability testing and analytics platform for UX teams. Measure attention, engagement and emotion across user journeys, test prototypes, mockups, websites, apps and chatbots, identify key elements within the UI that customers notice, deliver emotionally optimized UX and drive conversions. Emotion Insights to create the best customer experiences. Facial Coding APIs to measure emotional response at scale, single face emotion recognition, in-the-wild multi face emotion recognition, recorded video emotion analysis. Test stimuli of various modes and channels like videos, print ads, planograms, package designs, websites, apps, chatbots, etc.

Used to locate a person at your facilities by face, such as intruders, access control automation, as well as for marketing purposes. Create a database of photos of faces with statuses, for example, "VIP" and "black list". Receive automatic notifications on the monitor, phone, e-mail about the detection of persons from the control lists in the flow of people. Search for fragments with a detected face in the video archive, search for people in the video archive by photos. Receive information about the gender and age of visitors online. Identify employees or offenders at your facilities. Quickly learn about the visit of VIP clients (persons from the “white” list) or, for example, shoplifters (persons from the “black list”) to the point of sale, service. Take the necessary actions in a timely manner depending on the recorded event. Thus, you will be able to ensure a high level of security for your employees and infrastructure, as well as improve the level of service for VIP clients.¿

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.

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.

OpenFaceTracker is a facial recognition program capable to detect one or several faces on a picture or a video, and to identify them via a database. OpenFaceTracker needs OpenCV3.2 and QT4 installed on your machine, you’ve got two options, if you love compiling libraries by hand, please follow build_oft, and installing Opencv and QT using your favorite packaging tool. You can compile OFT as a library or you can compile it as a standalone binary file. You can then open the file and execute the detection and recognition module. You can show help and exit, show the list of all available cameras, you can test the XML DB, read from the OFT config, and check the environment. OpenFaceTrackerLib uses Opencv 3.2. This latter has introduced many new algorithms and features comparing to version 2.4. Some modules have been rewritten, some have been reorganized. Although most of the algorithms from 2.4 are still present, the interfaces can differ.

The use of facial recognition for authentication is becoming increasingly prevalent — especially on mobile devices. But between easy access to images on social media and advances in digital and print image resolution, biometric systems have security gaps that fraudsters can exploit to successfully spoof a facial recognition system. These spoofs, called presentation attacks, include printed photos, cutout masks, digital and video replay attacks, and 3D masks. The benefit of liveness is improved security and fraud detection. The benefit of ID R&D’s passive face liveness is that it is both secure and easy to use. Whereas other products add extra steps and time to the liveness check, IDLive Face is imperceptible to customers who don’t even know it’s happening. And, the software gives no clues to fraudsters on how to beat it. Because passive liveness is less confusing for users, abandonment rates are greatly reduced and less human intervention is needed.

The benefits of computer vision technology cannot be fully realized until equitable results across all ethnicities and genders has been achieved. Truecace partners with firms around the world to ensure training data is representative of the world’s complete population. Trueface has been validated by industry standard tests for its accuracy at scale. No matter the environment, one one camera or thousands, Trueface has trained its production algorithms using hard-to-get data and weighted edge use cases from high angles to ensure accuracy no matter the deployment. Biometric technology requires the utmost level of security. On-premise deployments can be spun up on the cloud, metal, or even at the edge, ensuring that no data ever leaves its designated infrastructure. Spoof technology also identifies malicious and fraudulent identity attempts. Trueface was forced to adapt due to the COVID - 19 pandemic and the introduction of universal mask wearing.

Komprehend AI APIs are the most comprehensive set of document classification and NLP APIs for software developers. Our NLP models are trained on more than a billion documents and provide state-of-the-art accuracy on most common NLP use cases such as sentiment analysis and emotion detection. Try our free demo now and see the effectiveness of our Text Analysis API. Maintains high accuracy in the real world, and brings out useful insights from open-ended textual data. Works on a variety of data, ranging from finance to healthcare. Supports private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage. Protects your data and follows the GDPR compliance guidelines to the last word. Understand the social sentiment of your brand, product, or service while monitoring online conversations. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in the source material.

BioID Web Service (BWS) is a cloud-based online service providing powerful multimodal biometric technology. User presence is verified through highly accurate face, eye and voice recognition, strongly secured by liveness detection. Our biometric authentication is as intuitive and user-friendly as taking a selfie and as trustworthy as a face-to-face transaction. Implemented as ‘Biometrics as a Service’ it can enhance the security of existing infrastructures in an easy way, avoiding costly redesign and reimplementation. BWS enables advanced, enterprise-grade biometric recognition available to everyone, on any device, anytime, anywhere, with dynamic scaling for reliable performance and availability.

It contains such capabilities as face detection, attribute analysis, face comparison, and liveness detection. It is flexibly used for financial, PAN security, and retail industry scenarios. It meets business requirements, such as identity verification, human face attendance, and gate access. It can detect the human face rapidly and return to the human face box position. Also, it can identify several kinds of attribute information accurately and output 150 key point coordinates on the face. It can extract the face characteristics compare two faces' similarities and return a comparison score. So, it can judge whether they are the face of the same person. It supports the verification of the name, identity card number, and face picture in terms of the authoritative data source. So, it can judge the authenticity of the user's identity precisely. It can call face detection, tracking, acquisition abilities offline, support liveness detection, and capture high-quality face pictures.

Based on the 3rd generation Tencent YouTu Grandmother Model, Face Recognition was optimized by various training methods such as metric learning, transfer learning, and multi-task learning. Its customized fine-tuning or distilling models can meet performance and latency requirements in different use cases. Face Recognition was tested by Tencent products' massive user base and complex use cases and is proven to be highly reliable and robust with an over 99.9% availability rate. Face Recognition features high concurrence, high throughput, and low latency. It processes millions of faces in just a few hundred milliseconds, satisfying your real-time usage demands. Face Recognition is used in a wide variety of use cases, such as online photo albums, smart retail, security surveillance, face recognition access control and attendance, face recognition login, face effects, online proctoring and more.

IntelliVision facial recognition software searches an existing database of faces and compares them with the faces detected in the scene to find a match. Face Recognition detects faces in the camera's field of view - as many as 15 at the same time - and matches them against faces previously stored in the database. Anti-spoofing is provided through "liveness" testing without the need for a stereo or 3D camera. Faces can be enrolled in the database from existing still images or from the video camera itself. Over many years of application IntelliVision’s License Plate Recognizer has performed and matured, taking into account variables such as movement and high speeds which are natural to the environment of vehicle monitoring. IntelliVision is a leading provider of embedded smart camera analytics for Smart Home/IoT OEMs, with intelligent motion detection, facial recognition, human/vehicle/pet detection and audio analytics.