Real-time review and timely callback, rapid response in milliseconds, and feedback location of risk problems.
Error correction data feedback, providing exclusive optimization mechanism
Accurately identify pornography, sexy, vulgar, dirty, pornographic anime, child nudity, game exposure, video love, etc
Accurately identify bloody riots, terrorist organizations, cult organizations, guns and knives in live broadcast scenes
Accurately identify spam advertisements such as contact information, URLs, QR codes and their variants in various audio and video scenes
Accurately identify low-value video content such as air broadcast in the live broadcast room/multiple appearances, negative values, etc
Finely identify minors in various scenes of live broadcast and video, and accurately determine the age distribution of minors
Based on Bi-GRU and Attention model, it can accurately identify voices containing panting, moaning, and other illegal sounds
Accurately identify illegal content such as drugs, gambling, contraband, and prohibited behaviors contained in the audio
Voice information containing insults, abuse, slander, etc
Support multiple Voice label identification, through Voice analysis, judge information about children, teenagers and other minors
High-precision Logo watermark detection and recognition technology, supporting competing logo recognition and sensitive logo recognition