Uses Convolution Neural Network (CNN) algorithms and volumes of training samples to generate prediction models with high precision for real-time detection.
Ease of Use
Provides RESTful APIs for easy use and quick integration into review systems.
Detects inappropriate and terrorism-related content as well as advertisements to ensure video compliance.
Analyzes speech, actions, images, and text in videos to mitigate or eliminate non-compliance risks and improve the review efficiency.
Video Content Review
Automatically detects inappropriate, violent, or terrorism-related content in videos for various video platforms, preventing non-compliance risks while saving on labor costs.
Supports simultaneous review of video subtitles, speech, and images.
Uses CNN algorithms and large amounts of training data to achieve high levels of recognition accuracy.
Reviews videos in real time and quickly tags non-compliant items.
Analyzes images, speech, and text in videos to detect inappropriate, violent, or terrorism-related content.
Detects and filters out QR codes and watermarks added to videos in post-editing.