Audience
Companies looking for a deep learning, computer vision, and speech science solution to detect nuanced human emotions
About Affectiva
Affectiva, now part of the Smart Eye group, is a pioneering company in Emotion AI, dedicated to bridging the gap between humans and machines. Founded in 2009 by Dr. Rana el Kaliouby and Dr. Rosalind Picard, the company developed innovative technology to detect human emotions, cognitive states, and interactions. Affectiva’s Emotion AI is widely used in industries such as media analytics and automotive, with applications ranging from understanding consumer engagement to enhancing driver safety. The company’s cutting-edge technology is based on machine learning, computer vision, and real-world data annotation, all developed with a strong focus on ethical AI practices.
Other Popular Alternatives & Related Software
Amazon Rekognition
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.
Learn more
alwaysAI
alwaysAI provides developers with a simple and flexible way to build, train, and deploy computer vision applications to a wide variety of IoT devices. Select from a catalog of deep learning models or upload your own. Use our flexible and customizable APIs to quickly enable core computer vision services. Quickly prototype, test and iterate with a variety of camera-enabled ARM-32, ARM-64 and x86 devices. Identify objects in an image by name or classification. Identify and count objects appearing in a real-time video feed. Follow the same object across a series of frames. Find faces or full bodies in a scene to count or track. Locate and define borders around separate objects. Separate key objects in an image from background visuals. Determine human body poses, fall detection, emotions. Use our model training toolkit to train an object detection model to identify virtually any object. Create a model tailored to your specific use-case.
Learn more
Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
Learn more
EchoDepth
EchoDepth is an Emotional Risk Intelligence platform from Cavefish. It measures how communication will land before it is delivered, scoring delivery risk across video, voice and text.
Unlike sentiment analysis, which classifies language as positive or negative after the fact, EchoDepth analyses observable delivery signals and returns scored, timestamped reports showing where audiences disengage and what to change. Measurement is built on the Facial Action Coding System standard: 44 Action Units calibrated across 14 cultural cohorts in 6 countries, rather than generic image classification. EchoDepth reports what the facial muscles did, not what emotion that represents, leaving interpretation to context-aware human review. For regulated deployment this is the defensible architecture.
Typical applications include earnings call and investor communication review, FCA Consumer Duty vulnerability detection, contact centre escalation prevention, interview consistency scoring, and defence
Learn more
Integrations
Company Information
iMotions
Founded: 2005
Denmark
imotions.com
Videos and Screen Captures
Other Useful Business Software
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Product Details
Platforms Supported
Cloud
Training
Documentation
Webinars
In Person
Videos
Support
Online
