Emotion Recognition Software

AI-Mediated Conversations(AI-MC) is an automated call routing solution that uses emotion AI and voice data to match the customer to the best-suited agent to handle the specific call. This match is based on profile data and our superior algorithms developed from years of research and experience in NLP and behavioral signal processing. Whatever the objective, there is always a catalyst that would allow both sides to reach the desired result. That contributing factor is usually a simple and naturally occurring human process: the affinity or rapport developed between people. Regardless of the type of business communication (sales call, support, collection), it will always be an interaction between real humans, where rarely is the affinity identical between two pairs of people. Meanwhile, our Oliver API is the engine that empowers AI-MC and all other integrations(Genesys, Uniphore,..) that need to incorporate Emotion AI capabilities.

Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.

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.

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.

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.

Integrate Face Recognition via our cloud API. Detect and compare human faces. Identify previously tagged people in images. Recognize age, gender, and emotion in the photo. It's useful if you need a face database for different devices of services. We don't store any photos, only neural network templates that can't be used to restore photos, so it's very safe to use. API supports all the programming languages that can perform API requests. We have code examples for most of them, so you can just copy the code and paste it into your project. We use High CPU in our cloud servers. It guarantees the maximum performance for all the features we provide. For instance, facial recognition takes only 60ms. You can perform as many requests as you need. We scale the cloud with your needs. If you need to handle a big number of photos, it's a great solution. We implemented the most-useful cases in the API, so you can just send a request and get a response. No need to think about storage and algorithms.

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.

MorphCast Emotion AI Interactive Video Platform is the most flexible, easy to use and fast solution to let creatives design highly engaging interactive videos in minutes. In addition to the most updated interaction options, the video content can be triggered by the viewer’s facial expressions while watching it, thanks to our Facial Emotion AI integrated in the platform. MorphCast is a dynamic tool created for professionals. You can download it for free from Microsoft and Mac App Store. You will only pay for the minutes of views of your videos, and the first 2.000 minutes per month are always free. MorphCast also offers you an analytics dashboard to evaluate the performance of your interactive videos. You can measure how your contents perform and adjust your audience experience according to their interaction and emotional reaction.

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.

Emozo’s DIY SaaS Research & Feedback Collection platform uses behavioral and emotional insights to help you drive the right decisions for all digital content. Emozo’s platform helps you go beyond traditional customer data analytics and delve into customers’ hearts and minds to understand the effectiveness and impact of all digital content. You can use Emozo to test the effectiveness of ads, applications, streaming media content, and the likes, on any channel – web, mobile, social media, TV, etc. Emozo’s novel method of combining unconscious (attention and emotion) and stated (survey) responses helps you understand the effectiveness of all digital content very quickly. Emozo leverages AI to enable qualitative research at scale and with speed on customers' devices. Emozo supports iterative design-development processes and offers fully secure data protection for you and your customers.

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.

The world’s leading human behavior research tool. The iMotions software is your research solution for any kind of lab research. Whether you are working within behavioral science, doing observations, studying human factors, conducting usability testing or working in a simulation environment, iMotions is your answer. Complete stimuli presentation (images, videos, websites, games, mobile/apps and VR). Integrates and synchronizes all types of sensors (eye tracking, Facial Expression Analysis, electrodermal activity aka GSR, EEG, ECG, EMG). Includes API to import/export transfer data from other sources. Built-in survey tool to add questionnaires to the data set. Live and post markers for annotations and behavioral coding. Complete study editing and analysis using embedded R-scripting to visualize data. Scene and respondent recordings and replay. Build study design by point and click.

Replace clunky ad testing with real world engagement. Attention and Emotions at the speed and scale of a click. We provide the science, the tools, and the platform to quickly set up, measure and respond to human behaviours at scale, cost-effectively. We believe that the more we understand the subconscious and conscious drivers of human behaviour, the better our predictions, decisions, and interactions will be. We are a group of science, technology and design experts obsessed with enabling everyday devices to observe and measure how people live their lives. Our consent-based platform enables everyday devices to safely capture and respond to the ​emotional, memory and thought​ drivers of ​human​ ​behaviour​ as people interact with ​digital experiences​. Through 7 years and 2.5 billion data points collected across 89 countries and 40 businesses, we developed a proprietary solution that monitors and understands how our digital experiences shape human behaviours.

The IBM Watson® Tone Analyzer uses linguistic analysis to detect emotional and language tones in written text. Watson Tone Analyzer can analyze tone at both the document and sentence levels. You can use the service to understand how your written communications are perceived and then to improve the tone of your communications. Businesses can use the service to learn the tone of their customers' communications and to respond to each customer appropriately, or to understand and improve their customer conversations. In this tutorial, you will learn how to use IBM Cloud Functions and cognitive and data services to build a serverless back end for a mobile application. Analyze emotions and tones in what people write online, like tweets or reviews. Predict whether they are happy, sad, confident, and more. Enable your chatbot to detect customer tones so you can build dialog strategies to adjust the conversation accordingly.

In many GVC applications the first step of the process is emotion recognition: the user speaks for a few seconds, and the GVC Emotion Recognition algorithm measures hundreds of acoustic properties of the user’s voice and distills from these cues an assessment of the user’s emotional state. We can feed the results from our emotion recognition algorithm into algorithms that choose an appropriate feedback to the user. As GVC we are primarily interested in kinds of feedback that improve the user’s performance and quality of life. Measuring the signals provided by the user’s voice, heart, lungs or other organs. The GVC Concept has been implemented in several demo apps. These employ a suite of proprietary algorithms that analyse many facets of the user’s speech, such as the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms.

The customer experience management platform allows you to scale customer-centricity throughout your organization. Allowing brands to listen, learn and delight customers. Empowering over 10,000 frontline staff across leading businesses. Powering global customer experiences on 4 continents. We come with deep experience in the customer experience domain having launched successful feedback programs for marketing, customer experience, digital, group operations, and more. We also apply expertise from many domains, to help our partners connect data across divisions and bring new holistic insights to their teams that create impact. The Resonate CX Platform provides an end-to-end customer experience management platform that is geared to complexity and scale. The analytical component of this platform is unique in the way that it visualizes customer data, both structured and unstructured data (e.g. ratings and comments) in one integrated environment.

Discover and validate what consumers see, think, and feel beyond their conscious control on desktop and mobile. Online webcam eye tracking for identifying where consumers’ attention goes. Online emotion measurement for capturing consumers’ emotional statements during the interaction with digital products. Online implicit tests for uncovering true attitudes and thoughts hidden in the subconscious. Online solutions for remote usability research. We’ve designed the new product UXReality that completely replaces usability labs with a virtual solution. It allows you to do UX research both on desktop and mobile remotely. You get high-quality session recordings and can literally see through the users’ eyes. The solution includes AI-powered webcam eye tracking, emotion measurement, and surveys.

Get real-time shopper insights. Measure customer satisfaction. Get to know who your converted customers are. Our Face Analysis Technology is empowering brick-and-mortar businesses with real-time, anonymous shoppers’ insights to help you optimize customer experiences and day-to-day retail operations. Check out our recommended products. Create smarter in-store experiences that maximize engagement and customer satisfaction. We all want to boost customer engagement because an engaged customer is a return customer. Our software provides you real-time insights into your shoppers’ demographic profile, interest, and behavior. Get to know who your converted customers are, optimize everything, from shelf-level displays to store layout based on customers’ behavior. Are you reaching your target audience? Our software can help you get answers to these questions.

Sticky by Tobii Pro is a self-service online platform that combines online survey questions with webcam eye tracking and emotion recognition, making advanced quantitative research simple. With this time and cost-efficient method of integrating eye tracking into your research, you can test large panels of consumers as they view targeted shelves, packs, ads, or webpages from their own computers. For a fraction of the cost of traditional in-person research, the online platform Sticky by Tobii Pro enables large-scale quantitative eye tracking research and emotion recognition as a self-service. Using the participant’s webcam, market researchers gain valuable visual and emotional data on the impact and performance of existing or new designs and placements, for example, in packaging and advertising research. The platform is integrated with online survey engines and panel companies with global reach, enabling a distributed data collection setup and with a quick turnaround time.

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.

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.

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.

Combine eye tracking, physiological measurements, and emotions to provide fast and rich UX data insights and visuals with Cube. Cutting-edge and efficient UX data insights, rich visualizations of what users experience, improving data quality and lowering costs. CubeHX is a revolutionary new tool for UX research. This cloud-based software platform combines different types of behavioral data collected from usability and UX research in order to provide fast and rich insights to professionals developing websites, mobile apps, software user interfaces, advertisements, and other graphical designs. Eye tracking data collected during user experience tests is usually visualized into heat maps. Going beyond traditional gaze heat maps used in eye tracking, Cube captures the complete user experience. Cube provides UX researchers and designers with unique insights on what generates emotion or cognitive load on their interface.

The leading In-Cabin Sensing solution that understands what is happening inside of a vehicle. It measures in real time, the state of the cabin, and that of the driver and occupants in it, to improve road safety and unlock personalized and more comfortable mobility experiences. We help businesses understand how their customers and consumers feel when they can’t or won’t say so themselves. By measuring unfiltered and unbiased responses, businesses can act to improve customer experience and marketing campaigns. Gain a holistic view of human behavior in your research with our partner iMotions' solution. Combined, this research platform seamlessly integrates emotion recognition technology and biometric sensors in one place. Affectiva is focused on advancing it’s technology in key verticals, automotive, media, audience and customer analytics, social robotics. Academic researchers should contact iMotions, who have our technology integrated into their platform.

Driven by excellence, inspired by you. At Eyeris, our technology was inspired by the late-night worker, the caring parent, the aspiring entrepreneur. Keeping every driver in mind, our innovative technology promises to push towards a safer and better road ahead. ​In-Cabin cameras are the most common sensor used for driver and occupant monitoring. Eyeris AI Software interprets the entire interior scene through these cameras. Allows the ability to collect data from different sensor types to interpret the scene with redundant data for high data accuracy. Innovation in hardware is improving to accommodate and run sophisicated AI software in the most efficient and fastest manner. Our vision-based neural networks provide the richest source of information. Using the latest image sensors, our pre-trained vision AI models understand the entire in-cabin space under the widest range of lighting spectrum.