Affect Lab
Tech-driven consumer insights platform for Insights teams. Map insights across media, digital and shopper touchpoints, deliver customer experiences that resonate emotionally, optimize customer journey for increased conversions, gain emotion, attention, engagement and noticeability insights. Usability testing and analytics platform for UX teams. Measure attention, engagement and emotion across user journeys, test prototypes, mockups, websites, apps and chatbots, identify key elements within the UI that customers notice, deliver emotionally optimized UX and drive conversions. Emotion Insights to create the best customer experiences. Facial Coding APIs to measure emotional response at scale, single face emotion recognition, in-the-wild multi face emotion recognition, recorded video emotion analysis. Test stimuli of various modes and channels like videos, print ads, planograms, package designs, websites, apps, chatbots, etc.
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Imentiv AI
Are you looking to create truly emotionally engaging content? Look no further than Imentiv AI's advanced Emotion AI tool. Our machine learning models analyze the emotions of actors in your videos, providing deep insights into the emotional impact of your content. By understanding the emotions conveyed by your actors and story, you can anticipate how your audience will perceive your content. With Imentiv AI's video emotion analysis solution, you can create content that truly resonates with your viewers, capturing their hearts and minds. Analyze emotions accurately in the video and understand heuristics and biases in your video with the expertise of our trained psychologists. Enhance audience engagement and maximize ROI by analyzing ads, videos, and content with AI. Save time and effort by using AI for emotional impact analysis instead of running lengthy and expensive audience surveys.
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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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EyeRecognize
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.
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