Wise AI Alternatives

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 Textify 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 .

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.

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.

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.

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.

Detect faces at various angles. Detect multiple faces in a photo simultaneously. With or without glasses. With any expression. High quality face recognition. One of the top recognition algorithms in the world. And blazing fast too. Find location of eyes, nose, mouth and many other points for each face detected in the photo. Apply attributes determination for gender and age, check if the person is smiling, have eyes open, lips sealed or wearing glasses. And even differentiate between clear and dark glasses! The cloud always on type of service allows for easy integration to any application: web, mobile, desktop or anything with Internet connectivity. SkyBiometry is free to start. Pick API functionalities and add it to your app! It only takes minutes. We believe that the rapid growth of cloud technologies open opportunities to deliver better products faster and scale out easier for our customers. And now we are ready to deliver the technology we know in the form you need.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Nexa|Face™ provides high-performance biometric algorithms for multistage facial recognition and identification or rapid, high-volume face authentication. Nexa APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric software for over twenty years. Nexa SDKs are designed to be easily configured for optimization of a system for a given application, database, computing platform, and operational environment. They include tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system. AwareABIS™ is an Automated Biometric Identification System (ABIS) used for large-scale biometric identification and deduplication, with support for fingerprint, face, and iris modalities. Its highly modular architecture allows it to be configured and optimized for either civil or criminal applications.

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.

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.

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.

TrustLink™ is a high-performance biometric identity authentication platform that supports large-scale facial and fingerprint recognition. It is a powerful platform that includes multi-biometric identification technologies and can be used to capture, register, identify, and authenticate fingerprints and faces. It also provides the APIs on the server and client for fast development and deployment into a wide range of applications. TrustLink™ is equipped with Aratek Bione® dynamic optimization algorithm and TrustFace™ face recognition algorithm, it's specialized in the field of large-scale fingerprint and face recognition applications. TrustLink™ is an ideal biometric identity authentication platform for software developers.

PXL Vision revolutionizes digital identity verification, automating customer onboarding and KYC processes to increase conversion rates. As the Swiss market leader for digital identity verification, our flexible solutions utilize efficient, AI-based ID checks as a SaaS or on-premise solutions. With our patented technologies, we ensure fast, reliable, and user-friendly identification processes that seamlessly integrate into existing workflows. Our Auto-ID adapts to various customer needs, offering customizable deployment, branding options, and security levels. Since 2017, we have empowered numerous partners and customers to save costs, boost revenue, and enhance user experience.

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.

MegaMatcher is designed for large-scale AFIS and multi-biometric systems developers. The technology ensures high reliability and speed of biometric identification even when using large databases. Available as a software development kit that allows the development of large-scale single- or multi-biometric fingerprint, iris, face, voice, or palm print identification products for Microsoft Windows, Linux, macOS, iOS, and Android platforms. Proven in national-scale projects, including passport issuance and voter deduplication. NIST MINEX-compliant fingerprint engine, NIST IREX-proven iris engine. Turnkey multi-biometric solution for national-scale identification projects with MegaMatcher ABIS. High-performance matching for large-scale systems with MegaMatcher Accelerator. Fingerprints, irises, and faces can be matched on smart cards using MegaMatcher On Card. Includes fingerprint, iris, face, voice, and palm print modalities.

Our system is tailored to disclose manipulated facial features and protect the user’s data. Integrates into your existing system or runs as a stand-alone application. Our Multimodal Biometric Authentication solution utilize a combination of face, iris and ocular recognition to provide strong security and privacy protection. Mobai is a spin-off company from the Norwegian University of Science and Technology. Our technology is developed by internationally acknowledged researchers with expertise in biometric systems and state-of-the-art attack detection at the department of information security and communication.

Prisma’s facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from a given image with faces within a database. It is also described as a biometric artificial intelligence-based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape. The print content would act as a marker for our engine and match with the corresponding reference image. Image recognition engines can also be used in marketing the brand by linking logos with ads, websites, and information. The process of capturing images from mobile devices and recognizing the same against a reference image. Prisma using its years of experience in the development of specialized algorithms for image recognition has now ported the same for applications.

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).

NEC Digital ID solution utilizes its 20+ years of investments for developing its cutting-edge facial recognition technology to provide a secure and easy-to-use identity verification and authentication system. Establishing trust in online interactions is vital with an ever-increasing digital presence today. NEC’s solution offers a robust way to authenticate identities, reduce fraud, and enhance user experiences, aligning perfectly with the current demand for digital security and seamless online experiences. We significantly reduce account takeover identity theft and fraud risks through facial recognition and liveness detection. Our Digital ID solution can be integrated into various industries and applications, from banking and healthcare, stadiums, and theme parks, to retail and education, enabling digital identity verification wherever needed.

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.

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.

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.

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.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

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.

Advanced investigative facial recognition solution for law enforcement and forensic investigators. Convert 2D images into 3D avatars for facial feature superimposition. FaceR Identity Management Solution, a centralized storage and management system for advanced 3D facial recognition powered by Animetrics' FaceR technology. Law enforcement officials, forensic investigators and security personnel have a pressing need to resolve suspects' identities from any kind of photographic evidence that captures an image of a suspects face including video surveillance cameras. ForensicaGPS, the new biometric solution from Animetrics, allows officers to identify individuals from low-resolution photos or video. ForensicaGPS features advanced facial recognition technology designed to increase the speed and enhance the accuracy of criminal investigations. The key to ForensicaGPS' accuracy is the software's ability to convert two-dimensional facial images into three-dimensional avatars.

FaceQuest® is an AI face recognition solution created & maintained by Ampyard. FaceQuest provides facial recognition system to students, developers & and enterprise clients worldwide. We serve industries like banking, fintech, insurance, ride-hailing & delivery services, retail, subscription apps, institutions & workplaces. Get started with recognizing faces in no time. Minimal setup required. Even more, you can use FaceQuest® solely using API calls, if you wish. Automate your workload using FaceQuest® APIs. Recognize faces from any programming language by simply using your secret key. FaceQuest's pay-as-you-grow pricing plans allow you to pay based on the current volume of requirements you have. If you need less, you pay less. You do not need jazzy infra or AI coding skills to recognize faces in your software. FaceQuest® enables you to concentrate on building your own software, without additional investment and maintenance for high end infrastructure.

The FacePRO™ Facial Recognition Solution automatically matches a person’s face using live or recorded video from i-PRO i-PRO cameras to a database of enrolled faces and performs notification and alerting of face matches. It provides a real-time recognition and processing capacity of up to 20 cameras per server and can execute high-speed searches of up to 30,000 registered reference faces. With FacePro, you can instantly identify pre-registered ‘unwanted’ visitors in crowded areas, such as hooligans or criminals held on your database. You can also pre-register authorized visitors, such as staff or ticket holders, and identify those gaining unauthorized entry to restricted areas. Pre-registration of authorized people ensures smoother people flow and better crowd management. Whenever anyone attempts to gain unauthorized access, an alarm notifies your surveillance system and can immediately mobilize staff on the ground.

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.

PimEyes is an online face search engine that goes through the Internet to find pictures containing given faces. PimEyes uses face recognition search technologies to perform a reverse image search. Find a face and check where the image appears online. Our face finder helps you find a face and protect your privacy. Facial recognition online system allows you to search by image. PimEyes is a face picture search and photo search engine available for everyone. It is a great tool to audit copyright infringement. We believe that you have the right to find yourself on the Internet and protect your privacy and image. Using the latest technologies, artificial intelligence and machine learning, we help you find your pictures on the Internet and defend yourself from scammers, identity thieves, or people who use your image illegally. That is why we have created PimEyes - a multi-purpose tool allowing you to track down your face on the Internet, reclaim image rights, and monitor your likeness.

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.

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.

Build the next generation of Image Recognition Applications with Imagga's API. Empowering intelligent apps with our customizable machine learning technology. Automatically assign tags to your images. Powerful API for image analysis and discovery. Empower product discoverability in your application. Powerful API for building visual search capabilities. Unlock facial recognition in your applications. Powerful API for building face recognition. Train our image A.I. to better organize your photos in your own list of categories. Automatically categorize your image content. Powerful API for instant image classification. Automated adult image content moderation trained on state of the art image recognition technology. Automatically generate beautiful thumbnails. Powerful API for content-aware cropping. Let colors bring meaning to your product's photos. Powerful API for color extraction.

Enables online identity verification by comparing a "selfie" with user's government-issued photo ID. Works both with laminated IDs such as drivers' licenses as well as with biometric passports for the most security-essential applications. Reliance on expensive & insecure external services for establishing identity is fast becoming obsolete. Ver-ID Credentials enables a straightforward integration of identity verification directly into any digital business process. For mobile deployments, the identity validity score can be established entirely on the user’s device. With Ver-ID there are no risks associated with export and storage of users’ images without some other business need for retention. Identity-as-a-Service products use ‘bolt-on biometrics’ and so suffer from high false rates or rely on manual checks. Ver-ID Credentials is built on ARI’s core face recognition & liveness detection technology for assured performance across the broadest range of use cases.