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.
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FaceReader
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.
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NoldusHub
NoldusHub is the brand-new all-in-one research platform for human behavior studies. This software suite will streamline multimodal research from start to finish, providing high-quality data, and insights into human behavior.
In order to understand a person’s motivation and emotional state, multimodal research is the way forward! But combining multiple types of measurements can be quite challenging, especially when you use several acquisition tools that have to be calibrated and started.
That is exactly why we have developed NoldusHub®. From setting up to connecting all devices, to recording and visualizing results in a clear way, NoldusHub makes multimodal research easy! The entire process is organized and streamlined into one platform, from start to end, saving you valuable time, effort and frustration.
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Eyesee
Eye tracking is a unique behavioral research method measuring eye gaze – i.e. the positions and movements of the eye, to show us what the consumers are (or are not!) looking at. Our Eye tracking tests are done remotely, which cuts down costs, saves time, and enables us to conduct studies in over 40 countries globally. Innovate to understand the world’s consumers: go beyond long surveys and focus groups. Remote behavioral testing is 2 times faster and cost-effective, enabling testing on a global scale. Multiple methods ensure the highest predictability. We develop cutting-edge shopper and digital environments. The future of shopping is set for a social revolution. Thanks to its accessibility, social media has quickly become one of the essential business operations for brands. And due to the highly competitive digital arena, growing a brand’s social presence has never been more challenging – from standing out in the clutter and ensuring ads actually trigger the conversion.
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