Alternatives to SkyBiometry

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

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 Udentify is iBeta Level 1 and Level 2 certified, quickly integrates into your website or mobile app and lets your users navigate from a desktop to a mobile experience as desired.

ARGOS Identity is a leading provider of Identity as a Service (IDaaS), offering comprehensive solutions for all your identity verification needs. Our mission is to enable you to identify Anyone, Anywhere, Anytime with ease. We specialize in simple, effective KYC implementation, empowering our clients to deliver a seamless digital onboarding experience. Our solutions allow you to build your identity management system around your business goals, providing your customers with a smooth, hassle-free KYC process. FACE Identity: This innovative service utilizes advanced facial recognition technology to match faces against a database of stored images, ensuring the accuracy and security of user verification during onboarding. ARGOS Textify: An AI-powered tool that automates the extraction and review of critical data from various documents, significantly reducing the time and cost associated with manual verification.

Oz Liveness is a world-leading facial recognition and authentication software that is used by private and public organizations around the world to reduce the risk of biometric fraud. It prevents deepfake attacks and spoofing attacks. Oz Liveness uses advanced algorithms to detect many forms of biometric spoofing. This includes 3D and 2D masks, photos and videos displayed on iPads or laptops, and photos and videos. Our technology has been approved by the industry's most stringent testing standard, ISO30107 certification. This certification helps organizations verify that they are dealing with a real person within seconds. It also lowers compliance risk and fraud risk.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Technology, 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 detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 55 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition

Ondato offers identity verification, business onboarding, customer data platform, due diligence, and authentication solutions tailored to fit in your everyday workflow. Our tools fit the entire customer lifecycle management, starting from onboarding and ending with continuous user monitoring. It's a one-stop solution whether you're worried about compliance or are looking for a more user-friendly data management platform.

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

For a seamless user experience, embed facial recognition in your apps. No machine learning expertise required. Face detection recognizes faces and attributes in images; person identification matches individuals in your private repository of up 1 million people; perceived emotion recognition detects a variety of facial expressions such as fear, happiness, contempt, and neutrality; and recognition and grouping similar faces in images. Face recognition can be based on a variety of attributes. All you need to do is make one API call and add facial recognition to your apps. Run Face on the cloud or at the edge in containers. Rely on enterprise-grade privacy and security for both your data as well as any models. Identify, identify, analyze, and analyze faces in images or videos. This technology can be used to support different scenarios. Detect one or more faces and attributes.

Integrate Face Recognition using our cloud API or host Kairos on you own servers to have complete control over data, security, privacy, and create safer customer experiences. Our company is the world's leading face recognition AI company. We are committed to ethical identity and a representation of our diverse communities. Our innovative API platform makes it easier for developers and businesses to integrate human identity into software. We use deep learning and computer vision to recognize faces in photos, videos, and the real world. Kairos offers developers and businesses around the world state-of-the art, ethical face recognition. Kairos allows developers and businesses to integrate our API with ease. Find human faces in photos. It can detect the age groups of a child, young-adult, senior, or adult and determine the gender of each face, male or female.

We offer ready-to-use components such as face recognition SDKs as well as custom software design services and hosted web services that focus on image and video analysis, faces, and objects recognition. Our technology is used by video and image archives, web advertising, entertainment projects, media content producers and video surveillance and security solutions. It also has applications for end users and b2b developers. The Betaface facial recognition suite includes complex operations such as face detection, identification, verification or 1:1,1:N matching, biometric measurements, facial analysis, face tracking on video, age and gender recognition, facial features and shape description, hairstyle analysis, and hairstyle color detection. Our technology is used in video and images archives, entertainment projects, and web advertising.

Our image and video recognition APIs have been proven to be highly scalable and can be integrated into your own applications without the need for machine learning expertise. EyeRecognize's image and video recognition API services can be used to identify objects, people and text in images and videos. You can also detect faces and NSFW material. Face Analysis and Face Detection, identify all faces in images and videos and extract attributes such as gender, age, eyes and emotion. Text Detection: Extract text from images, such as street signs, license plates, advertising, and brand name. Identify NSFW ("Not Safe for Work") and other inappropriate content in both video and images. EyeRecognize is a collective of over 40 years of artificial intelligence-powered applications. They are the pioneers in using machine learning to automate content moderation on social media.

Face++ can detect and locate human faces in an image and return high-precision face bounding box results. You can check if two faces belong to the exact same person. To evaluate the similarity, you will receive a confidence score as well as thresholds. Face++ Detect API can detect faces in images and return a face bounding box as well as a token for each one. For further processing, you can pass the face token on to other APIs. Detect API allows you to retrieve face landmarks and attributes of the top five most detected faces. All APIs are free to use. You can upgrade to paid service based on your business volume using the Pay As You Go or QPS service. SDK licensing options can also be found on different devices. Face++ allows users to add advanced, deep learning-based image analysis recognition technologies to their applications with simple and powerful SDKs and APIs.

Luxand FaceSDK, a cutting-edge cross-platform software kit, is designed to deliver high performance face recognition, facial feature detection, and identification. Luxand FaceSDK is a cross-platform software development kit that integrates seamlessly into web, desktop and mobile applications. It enables face-based authentication and automatic face detection and identification, elevating user experience to a new level.

Facia, founded in 2022, specializes in facial recognition and biometric authentication technology. We use advanced AI and ML algorithm to deliver secure solutions for business. Our 3D liveness technology provides rapid responses in less than a second. We achieve a 0% false acceptance rate (FAR) and a FRR below 1%, to prevent unauthorized entry. Our services include 1:N Face search, 1:1 Photo ID verification, and age verification. We offer customizable SDK and API integration options to ensure seamless compatibility. Our system allows for real-time 3D facial verification, which ensures speed and accuracy without compromising security. We protect against mask and print-based spoofing. Facia is committed to the advancement of biometric authentication and providing secure identity verification for businesses.

NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.

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. - The solution enriches video surveillance systems of any manufacturers with biometric functions and provides tools for prompt response and search in the archive - The solution provides ready-made certified integrations with a number of VMS systems - Depending on the role, a well-designed user interface provides quick and convenient access to all the necessary functions to perform current operational tasks - Each operator of the system can receive only those notifications that are included in his ​​responsibility. - All detected faces are saved to the solution archive. The volume of an event in the archive takes up less memory than the video archive. - The solution allows you to download graphic layouts of locations with the ability to place identification cameras on maps to simplify an operational response to an incident. - A wide range of available solution parameters allows the administrator to configure the optimal mode of its operation - Mobile application allows you to provide information to security personnel

The biometric module, developed by Oz Forensics experts, incorporates the latest practices of artificial intelligence. It is continually improved through continuous data enrichment. The face recognition algorithm developed by Oz Forensics has achieved one of best accuracy results on the LFW dataset during University of Massachusetts tests for 2020 MIT LFW. The Oz Biometry module identifies people in less than 1 second with 99.87% accuracy. Since the start of 2010, every smartphone has had a front-facing camera. This makes facial biometrics an easy way to authenticate. Face biometry is used in both the registration process as well as the search and authentication process on large biometric database. In the KYC process, facial biometrics is used to compare selfie photos against photographs taken from documents and confirm that a user's presence in biometric "black lists" and "white lists" has been confirmed.

Welcome to FaceOnLive, your trusted provider of fully On-Premises Biometrics & ID Verification Solutions. Our advanced suite of services encompasses state-of-the-art technologies including Face Recognition, Face Liveness Detection, ID Document Recognition, ID Document Liveness Detection, and Touchless Fingerprint Recognition. With a focus on security, accuracy, and convenience, our solutions empower businesses to enhance customer onboarding processes, strengthen access control measures, and mitigate fraud risks effectively. Whether in banking, healthcare, government, or beyond, FaceOnLive delivers tailored biometric solutions to meet your organization's unique needs. Elevate your security standards, streamline operations, and build trust with your customers through cutting-edge biometric authentication. Join us as we pioneer the future of identity verification and authentication.

When two faces are being compared, the technology can perform a depth analysis. It will analyze and determine the threshold of similarities between the faces. Our highly efficient security system combined with large business data platform has allowed us to synthesize high-quality large-scale data-training sets. The technology can use deep neural network training to produce effective face detection algorithms that can detect faces in different situations. Two faces can be compared with high accuracy. WISE AI, an ASEAN-based Artificial Intelligence platform company, specializes in facial recognition (FR). The company has local offices in Singapore Malaysia Thailand and Thailand and offers both business- and consumer-oriented AI products. WISE AI collaborates closely with System Integrators to provide AI-powered solutions for customers in various industries.

RECOGNITO is a global leader and trusted provider of Face Biometrics and ID Document Verification solutions. Recognito is a global leader in AI products and solutions, founded in 2019, serving over 200+ identification solution providers and customers across a variety of industry. Recognito SDK is the world's leading face-based identity verification solution with NIST FRVT Top Algorithm. - Product • Face Recognition SDK : NIST FRVT Top in 1:1 and 1:N • Face Liveness SDK : DeepFake, Deepfake Detection, 3D Passive Liveness Detection • ID Document Verification SDK : ID, Passport Document OCR and MRZ, Barcode Analysis - Features • On-premises, Fully Offline and On-Device SDK • Compact Library-type SDK to facilitate on-premise installation. • Simple and comprehensive API. - Platform Android, iOS, Windows and Linux platforms.

MiniAiLive provides Touchless Biometrics Authentication and ID Verification solutions. We offer security solutions that are based on cutting-edge technologies such as facial recognition, liveness detection and ID document recognition. We also ensure that our solutions are seamlessly integrated with the existing systems of our clients. MiniAiLive is a face recognition app that provides reliable and secure access control solutions. It also includes a passive liveness detection layer. Our app ensures only authorized individuals have access to sensitive areas, services, or accounts. It also minimizes the risk of unauthorized entry through spoofing and impersonation attempts.

FaiSentry uses a cluster-based architecture which provides future-proofing, scalability and robustness. It also offers the option to host on-premise or in a cloud. FaiSentry goes beyond passwordless login to allow efficient and frictionless identification of multiple people from a single image. Results are returned in a fraction of seconds. Our facial biometric engine is enterprise-grade secure and easy to use. This creates the best client and business experience. Aculab's combination of AI-driven technology and face authentication products has created a solution that is indestructible to gender and race biases, which is a significant difference from other products on the market. FaiSentry can identify multiple individuals from one image, and a single camera can monitor key entry points and exit points.

FaceTec's interface makes 3D Liveness Matching and 3D Liveness Detection fast and easy for everyone, regardless their device. FaceTec's 2-second video-selfie during onboarding verifies 3D Liveness, matches the user’s 3D Face with their Photo ID, OCRs their text, and creates their new account. FaceTec's ongoing user authentication proves 3D liveness every time they return and compares their 3D FaceMap with the one from onboarding. They get instant access if they match; no password needed! Login using any smartphone, tablet or laptop, and you can unlock everything, from your car door to the bank account. Only real users can gain access, while bots, hackers, and bad actors are blocked by NIST/NVLAP level 1&2 antispoofing certification. FaceTec is the market leader in 3D face matching and offers more security, flexibility and convenience than any other biometric mode.

Turnkey solutions that are affordable and easy to integrate into existing systems for scaling up operations. eConnect's Identity Management software, eClear360, integrates multiple data sources and ties them to the industry-leading facial recognition algorithm. This platform allows for new insights, revenue protection, and opportunities. The key capabilities include: Identifying anonymous high value patrons, their gaming values and frequency of visits, detecting exclusion patrons, advantage players and patrons who may have committed crimes in past. This is a great tool for helping the operator to know your customer mandates. The Identity Management system uses patented technology to provide operators accurate facial identification, data analytics, and the ability to identify staff members for time clock integrations, detect unwanted guests or individuals, and improve operational efficiency.

System integrators, developers, and businesses can improve facial recognition applications performance by writing just a few lines code. This will protect your customers' privacy. Integrate with Biometric Vision’s next generation AI-powered algorithm within minutes to increase accuracy, speed, and performance of facial recognition apps. 99.99% accuracy even in the most difficult conditions. Tested against 1,000,000 ethically sourced facial images. AES256+ end-to–end encryption and a proprietary method to store face templates as anonymous alphanumeric codes (binary), i.e. Non-reversible. Facial recognition algorithms are what we do really well. Access to our 1:N and 1:1 algorithms. APIs are designed to harness the power of connectivity. Our cloud hosted API is compatible with any environment on any platform, virtual or physical. Our API encourages innovation, scale opportunities, and makes monetization easier.

FaceMe®, Security is a value-added software that can run on any PC, workstation, or server. It integrates with VMS (video management system) and is designed for smart surveillance. It can detect individuals in a crowd by their faces and match the live capture with a database of profiles, even if they are wearing masks. It can also display their body temperature and detect if they are not wearing a mask over their nose or mouth properly. It also highlights blocked people. It can send alerts to security personnel and other employees in real time. FaceMe®, Security Central compares extracted facial templates with the database to confirm identity. It also offers a web-based console that allows you to manage your Microsoft SQL-based face database, set up IP cameras, and inform the appropriate personnel about registered visitors, VIPs or blocked people who enter each monitored area.

We empower security professionals with massive AI and organized communications to protect millions of citizens in cities. Kipod allows instant search across the Big Data from CCTV video and real-time detection of crime using the most advanced machine learning algorithms. Isolation tracking using facial recognition. Instant alarm for crowding in public spaces during coronavirus (COVID-19), and other dangerous infections Simply upload a photo to find a person of interest. Instant results will show where and when they were spotted. You can search for a person by their age, race, gender, or other characteristics. Instantly validate the results against all criminal records. The Kipod cloud architecture allows for secure, resilient and easy deployment across unlimited cameras to unlimited people. Shared resources can be managed by thousands of users across multiple organizations. You can access video data, search tools, databases of people or vehicles, and other information in a granular manner.

FACEKI is a Facial Recognition authentication system. FACEKI is a Facial Recognition authentication platform that creates safer and more accessible user experiences. It uses state-of-the art facial recognition technology. It is a cloud-based, cross-devices security technology that is highly secure. It can be easily integrated with any online platform, website, or app to provide users with powerful facial recognition logins and onboarding capabilities. FACEKI's goal is to make account logins seamless, easy, and more secure than ever.

EMDYN understands that it is difficult for many organizations to verify identity, especially in today's interconnected world where individuals can easily conceal, fraudulently mask, or change their identity in many ways. These actions can be used to maliciously target other organizations. The tools currently available are often outdated or restricted by privacy laws. They cannot provide the correct information on identity, nor can they provide situational awareness to an organization. The current facial recognition systems can be used to identify a person using a passport or ID document. However, they are not able to quickly search large databases or video repositories for the same face or link that face with other information sources. We now have a solution. It is an essential component of a real investigative tool that is ultra-fast and user-friendly. Welcome to EMDYN BioTrace.

Innovatrics ABIS supports facial recognition, fingerprint, iris, and fingerprint identification. With minimal hardware requirements, you can achieve fast and accurate performance. Our ABIS can be customized easily due to its modular architecture. Open APIs make it easy to integrate with other systems and avoid vendor lock-in. Our ABIS has been successfully deployed to hundreds of large-scale biometric projects, including the most complex biometric systems in the world. Our fingerprint, facial, and iris recognition technology allows you to quickly find a solution that suits your business processes. Based on independent NIST testing, our algorithms are consistently ranked amongst the best. You can create an identity management solution that is tailored to your requirements using our ABIS modules. You can add modules or upgrade as needed. We offer flexible licensing policies to meet the needs of every project.

We are a cybersecurity firm that specializes in identity protection and fraud prevention. Our mission is to provide safe digital experiences that are frictionless for both citizens and businesses during the digital transformation. Different technologies are used to recognize people based on their behavioral or physiological characteristics. Once the data is collected, the system extracts a unique pattern from each individual. This will allow for future comparisons. Transactional analysis of user behavior and channels to detect and prevent fraud. Secure, fast-response data exchange through references to a vault containing encrypted data. Multi-channel fraud prevention using machine learning. We use machine learning to create intelligent profiles that detect fraudulent activities based on user behavior.

Register now to begin Lambda's facial detection & recognition API. You can use the online tool to input a URL, and we'll tell if it contains celebrities. To test our face detection API, you can also use the provided form. We will send you a photo and tell you if it contains facial features, where they are located, and the location of facial features such as eyes, nose, and mouth. Your Mashape Key will be used to call the API. To get your key, you will need to sign up to our API. An album is a collection of images that have been labeled. Albums can be used to recognize images that haven’t been seen before. Let's make our first album. You can give the album a few images with labels. The more images you provide, the more accurate the model will become. You can either give us urls or files. The album will build a model using the labeled photos. Give the album a picture to recognize. There are two options: urls or files.

SentryFusion provides a multi-factor security analysis that allows access control to sensitive resources and areas. SentryFusion uses a cluster-based architecture which provides scalability and robustness that is future-proofed. It also offers the option to host on-premise or in a cloud. You can identify a user's voice or face during a video conference so they can be identified later in a voice conversation, video chat, or image. MFA is being used more frequently to prevent unauthorized access of customer data or financial resources. This opens up the possibility of better-than-real-time operation, even in large-scale authentication scenarios. SentryFusion delivers near-instantaneous results that streamline the authentication process and remove unnecessary hassles for end users.

CompreFace is an open-source, free face recognition service. It can be integrated into any system without the need for machine learning skills. CompreFace comes as a docker compile config. It supports various models that run on CPU and GPU. Our solution is based upon state-of the-art methods and libraries such as InsightFace and FaceNet. It makes it easier to detect unauthorized access to sensitive areas or your office security perimeter. It can be used to collect data for sales and marketing purposes, and/or to target ads to customers in real time. It can be used to track students and employees so they know where they are. It allows businesses to provide exceptional customer service by detecting customers at their entrance. It speeds up the process of checking in at airports, conferences, hotels, and airports. CompreFace was designed to be simple, effective, and versatile.

You need accurate data. Surveys are not often filled out. Complex and expensive RFID and Bluetooth (BLE), solutions are available. Each smart camera analyzes hundreds of faces over time and generates metrics such as impressions and demographics (age/sex) and positive sentiment (happiness). It takes less than 12 minutes to set up a camera and you can access our live dashboard from anywhere and at any time. You can measure happiness over time by analysing hundreds of faces with more than 95% accuracy. You will gain valuable insights into which demographics are most and least engaged. To find out what content and activations work best, you can run A/B tests. You will be able to gain powerful insights and data for your marketing, sales, and research efforts. To understand people's behavior, automatically track the total number (non-unique), and measure average dwell times. To uncover unique insights about your audience, use ethical facial analysis.

Our cloud API allows you to integrate facial recognition into any website, app, or software. Accurately recognize and compare human facial features. Identify previously tagged individuals in images. Detect age, gender and emotions from a photo.

We use the world-leading FaceVACS technology to provide our customers with simple-to-use, scalable, and customizable face recognition software. Our products can be easily integrated through open system architecture and professional support. ID agencies can compare ID photos with existing images to prevent ID fraud and detect clerical errors. Agency can also perform database de-duplication (1.n or n.n) to clean, maintain, and compare ID databases with facial photos. FaceVACS-DBScan LE allows law enforcement personnel to speed up criminal investigations and allow them to act on match results within a short time frame after a crime is committed.

FaceReader is an automated system that provides accurate and reliable data on facial expressions. Clear insight into the effects of different stimuli on emotions. It is very easy to use, which saves valuable time and resources. Easy integration with eye tracking data, physiology data. Automated facial expression analysis software is increasingly popular among researchers to provide objective assessments of emotions. FaceReader software can be used quickly, easily, objectively, accurately, and is flexible. It instantly analyzes your data (live or video) and saves you valuable time. You can record audio and video to hear what people are saying, such as during human-computer interactions or while viewing stimuli. FaceReader is the most robust and reliable automated system for the recognition a variety of facial properties, including the six universal expressions or basic expressions.

FacePlugin is the leading provider of On-Premises Identity Validation Solutions. Our robust suite of products includes state-of the-art technologies, such as Face Recognition and Face Liveness Detection. We also offer ID Document Recognition, Palm Print Recognition, and Palm Print Recognition. Our face recognition algorithm is fast and unbiased. Our liveness detection model is able to detect spoofing, including 3D masks, printed photos, video replays, and deepfake. Our ID document recognition software can recognize ID documents from over 180 countries, including ID cards, passports and driver licenses. We offer SDKs - 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 Flutter, Swift, Java, Object C and Python We offer free integration support.

This can be used to locate someone at your facility by their face, such as intruders or access control automation. It can also be used for marketing purposes. You can create a database of photos with faces and statuses such as "VIP" or "black list". You will receive notifications via phone, e mail, and the monitor about the detection of people from the control lists in relation to the flow of people. Search for fragments that contain a face in the video archives, or search for people using photos. Online information can be obtained about the gender and ages of visitors. Identify employees and offenders at your facility. Quickly find out about VIP clients (persons on the "white" or "black" lists) visiting your facilities. Based on the recorded event, take the necessary actions quickly. This will allow you to provide high-quality security services for your clients and employees, as well as increase the level of service for VIP clients.

Insights teams can use a tech-driven platform to gain consumer insights. You can map insights across media, digital, and shopper touchpoints to deliver emotional customer experiences, optimize customer journeys for increased conversions, and gain emotion, attention and engagement insights. UX teams can use the UX platform and usability testing platform to analyze their user experience. Measure attention, engagement, and emotion across user journeys. Test prototypes, mockups and chatbots. Identify key elements in the UI that customers notice. Deliver emotionally optimized UX to drive conversions. Emotion Insights helps you create the best customer experience. Facial Coding APIs for measuring emotional response at scale, single-face emotion recognition, in the wild multi-face emotion recognition, and recorded video emotion analysis. You can test stimuli in a variety of channels, including videos, print ads and planograms, website designs, packages, chatbots, and websites.

OpenFaceTracker can identify faces in photos and videos using a database. OpenFaceTracker requires QT4 and OpenCV3.2 installed on your computer. If you are a fan of compiling libraries manually, please follow build_oft and install Opencv andQT using your favorite packaging software. You can either compile OFT as an open-source library or as a standalone binary file. The detection and recognition module can be executed by opening the file. Show help and exit are available. You can also show the list of cameras, the XML DB and OFT config. You can also check the environment. OpenFaceTrackerLib uses Opencv 3.0. This version has many new algorithms and features, compared to version 2.4. Some modules were rewritten and others were reorganized. The interfaces may differ from the ones in 2.4, but most of the algorithms are still available.

Always know who is at your front door. Face Recognition Edge AI from Xailient allows users to recognize faces so they can always see who is visiting. CVOps describes the enterprise's business process, the job role and the enabling tools to deliver Computer Vision in production. Orchestrait is the first privacy-safe Face Recognition software that uses cutting-edge Edge AI technology to ensure compliance with privacy laws and biometric data protection laws in all jurisdictions. Collect data in an ethical and targeted manner. Privacy Safe Data Collection allows you to only collect the data you need. Xailient Edge AI technology can detect something approaching your home as far as 8 meters away. Motion detection is a first step in completing further detection analyses.

Computer vision technology is only effective if there are equal results for all races and genders. Truecace partners worldwide with companies to ensure that training data is representative for the entire world's population. Trueface has been tested for accuracy at scale by industry standards. Trueface's production algorithms have been trained using difficult-to-get data, weighted edge use cases, and angles from high angles. This ensures accuracy regardless of deployment. Biometric technology demands the highest level of security. On-premise deployments can also be set up on the cloud, at the edge or metal. This ensures that no data leaves the designated infrastructure. Spoof technology can also identify fraudulent and malicious identity attempts. Trueface had to adapt to the COVID- 19 pandemic, which saw universal mask wearing become a reality.

Facial recognition is increasingly popular, especially on mobile devices. Because of the ease of access to images via social media and improvements in digital and print resolution, biometric systems have security holes that fraudsters could exploit to successfully spoof facial recognition systems. These presentation attacks are also known as "presentation attacks" and include printed photos, cutout masks and digital and video replay attacks. Liveness has the potential to increase security and detect fraud. Passive face liveness from ID R&D is both safe and simple to use. While other products require additional steps and time to perform a liveness check, IDLive Face is invisible to customers. They don't even notice it's happening. The software doesn't give fraudsters any clues about how to beat it. Passive life is much easier for users to understand, so abandonment rates are lower and require less human intervention.

BioID Web Service (BWS), a cloud-based online service that provides powerful multimodal biometric technology, is available. The user's presence is confirmed by highly accurate voice, face and eye recognition. This is strongly protected by liveness detection. Our biometric authentication is as easy and intuitive as taking a selfie, and as trustworthy as a face to face transaction. It can be implemented as "Biometrics as A Service" and enhance security of existing infrastructures. BWS allows advanced, enterprise-grade biometric identification that is available to everyone on any device at any time, from anywhere. It also features dynamic scaling that ensures reliability and availability.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

Optional face biometric deployment options optimized for maximum security. Remote biometric registration Real-time facial recognition and evaluation. Head poses, eye gaze, open eyes, spectacles, and eye gaze are all detected. National identity tokenization. V-OS, V-Key's core patent technology, is a virtual secure element. It is a secure sandbox embedded in a native iOS and Android mobile app. It creates a safe operating system where data can be stored and cryptographic process can be performed in isolation from the rest. V-OS App Protection can detect and protect mobile apps from potential threats such as reverse-engineering and hooking, tampering and app integrity checks, library signature validation and code-injection. Apps integrated with V-OS Application Protection can root and jailbreak the phone to allow a mobile app run smoothly in an insecure OS environment.

It has capabilities such as face detection, face comparison, attribute analysis and liveness detection. It can be used in a variety of scenarios, including financial, PAN security and retail industries. It meets business needs, such as human face attendance and gate access. It can detect a human face quickly and return to its human face box position. It can also identify different types of attribute information and output 150 key coordinates on the facial. It can compare the similarities between two faces and return a comparison result. It can then judge if they are the same face. It supports the verification by using the authoritative data sources of the name, the identity card number and the face picture. It can therefore judge the authenticity of a user's identity accurately. It can support liveness detection and call face detection.

Face Recognition, based on the 3rd generation Tencent YouTu Grandmother Model was optimized using various training methods, such as multi-task learning, transfer learning and metric learning. Its custom fine-tuning and distilling models can meet different performance and latency requirements. Tencent's large user base and complex use cases tested Face Recognition. It was found to be reliable and robust, with a 99.9% availability rate. Face Recognition has high concurrency, high throughput, low latency, and high concurrency. It can process millions of faces in a matter of milliseconds. This allows you to meet your real-time usage requirements. Face Recognition can be used in many different applications, including online photo albums, smart shopping, security surveillance and face recognition access control and attendance. It also has face effects and online proctoring.