Compare the Top Emotion Recognition Software in Asia as of October 2026

What is Emotion Recognition Software in Asia?

Emotion recognition software, also known as emotion AI software, is a type of software that uses artificial intelligence and facial recognition in order to detect and analyze human emotions in videos, photos, live cameras, speech, or written text. Emotion recognition software has many use cases across product, marketing, sentiment analysis, visual detection, and more. Compare and read user reviews of the best Emotion Recognition software in Asia currently available using the table below. This list is updated regularly.

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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.
  • 2
    Betaface

    Betaface

    Betaface

    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.
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    Zenus

    Zenus

    Zenus

    You need accurate data. Surveys are rarely filled out. RFID and Bluetooth (BLE) solutions are complex and pricey. Each smart camera passively analyzes hundreds of faces and produces metrics such as impressions, demographics (age/sex), and positive sentiment (happiness) over time. Setting up a camera takes less than 12 minutes and you may access our live dashboard anywhere and anytime. Measure the happiness of people over time by analyzing hundreds of faces with over 95% accuracy. Gain valuable insights about which demographics are the most and least engaged. Perform A/B tests to examine the effectiveness of different activations and content to see what works and why. Obtain powerful data and insights for your sales, marketing, and research efforts. Automatically track the total number of impressions (non-unique) and measure average dwell time to understand people's behavior. Use ethical facial analysis to uncover unique insights about your audience.
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