TetrasMobile
Smart Video

Supported by the world's leading AI visual perception technology, Tetras intelligent video solution focuses on the comprehensive information recognition of faces, human bodies, objects, spatial scenes, and video content. Based on the application scenarios of customers in different industries, we provide products and services in both images and videos, such as facial feature verification, face clustering, facial attribute analysis, structured analysis of scene content, and video highlight generation. At the same time, we support the large-scale deployment of mobile devices and the cloud, which provides efficient and accurate AI perception for multitudinous scenarios, such as intelligent photo album management, best moments capture, intelligent video editing, and media content searching.

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PRODUCT INTRODUCTION
Product Introduction

 

Based on face classification, image quality analysis, and face clustering techniques trained by deep learning, Tetras provide the face clustering product to acquire the faces and capture facial features from the source materials (pictures and videos). In addition, the machine can automatically select the appropriate group of people for classification and combination with the optimal decision-making process of the stochastic dynamic system. After face clustering, the algorithm can comprehensively criteria the face quality, picture sharpness, and aesthetic appearance in the new album, with various dimensions. After that, it will automatically select the optimal face photo as the album cover, which is a user-friendly process. Tetras face clustering product can support verification, extraction, and clustering of different faces and face features in plenty of photos with an accuracy rate of over 99%, without any platform, frame rate, or resolution restrictions. The product supports both Android and iOS operating systems, cloud services, and all mainstream platforms. Tetras already have a healthy long-term business relationship with numerous smartphone brands

Supported Platform

Supports Android and Linux platforms; and the CPU version supports a full range of Qualcomm and MTK product models.

PRODUCT ADVANTAGES
Product Advantages

Tetras.AI's facial clustering products have been leading the AI visual market for a long time. Its algorithm can process face verification, feature extraction, and face clustering of thousands of different faces, with ultra-high accuracy (99%+) and recall rate (90%+). It supports the application scenarios of different age ranges, even though the younger generation, like children, also holds a high recall rate. At the same time, it supports large-scale crowd application scenarios and face clustering of people worldwide. We actively respond to market changes and satisfy varying customer needs.

KEY TECHNOLOGY
Key Technologies

By detecting facial information, capturing and comparing facial features, Tetras.AI's face clustering product groups similar features for classification to accurately identify multiple facial attribute categories and provides analytical data from the perspectives of picture quality and aesthetics.

  • Face Verification

    Determines the coordinate position of a face in an image, extracts it, and outputs a face frame

  • Facial Feature Extraction

    Performs feature comparison after capturing and recognizing the extracted face features

  • Facial Attribute

    Accurately identifies multiple attribute categories, such as gender, smile, age, etc

  • Image Quality Analysis

    Analyzes image quality from multiple dimensions, such as color, noise, blur, fog sense, exposure, and other dimensions

  • Aesthetic Analysis

    Performs aesthetic analysis of images from the dimensions of facial expressions, facial movements (e.g., eyes open and close), and face image quality (e.g., exposure, sharpness comparison, angle, occlusion and color)

APPLICATION SCENARIOS
APPLICATION SCENARIOS

For mobile phone system album, Cloud album facial clustering features, including album classification, facial attributes classification, video cover, album cover generation, people search function.

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