Stream2Earn (STREAMN) ICO 評価と詳細

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Pre Sale

2022年8月21日

2022年8月24日

100% 完成

募集资金 - 无数据

50.00

past

令牌详细信息

断续器

STREAMN

总供应量

100,000,000

额外细节

分类

平台

关于 Stream2Earn

The future of streaming platforms

STREAM2EARN

Stream2Earn – StreamN is a global platform that allows millions of users to freely create content and stream their work to people with similar passions and interests. Stream2Earn uses high-quality interactive technology that allows users to freely chat, give gifts and be recognized, especially viewers can interact with streamers and can access events and access with the top streamers in the region.

About Us

This will be where advertisers will pay to be able to promote their products to users as viewers or collaborate with content creators to promote. Profits will be shared back to content creators and viewers.

Our goal is to bring many benefits to users. Where all content creators and viewers can profit.

Content creators will receive high benefits based on products with attractive content, attracting many viewers.

Viewers will receive a lot of gifts for watching and participating in regular

特征

VIDEO & AUDIO TECHNOLOGY

We deliver low-latency audio and video product experiences across a variety of media networks, serving nearly 400 million users in 150 countries worldwide.

Our innovative algorithm automatically adapts to different hardware platforms and environments, and optimizes audio quality, code speed, and line fluency metrics whether you where.

FILTER

We provide real-time video and audio content filtering with millisecond latency, including comprehensive real-time content detection such as pornography detection, drug detection , detect political terrorism, detect gambling and detect dangerous individuals.We are building an end-to-end AI platform with extremely powerful computing power that enables algorithmic innovation of Intelligent Content Suggestion, Computer Vision, Speech Recognition and natural Language Processing.

RESEARCH & PRODUCTION AI

Smart content recommendations, based on online DNN & GNN technology, effectively capture changes in each user’s personalized preferences and respond to their needs in real time, giving users have a unique entertainment experience.Our leading CV (Computer Vision) algorithm research includes image recognition, face detection, location and keypoint tracking, gesture tracking, portrait segmentation, and video multidimensional analysis.