The Image Abuse Detection assist websites identify pornographic images and text ads converted to images, reduce content risks and manual review costs for websites.
Identify pornographic images to reduce risks and manual review costs for websites.
Identify text ads within the picture to prevent spam information communication and potential fraud risks.
Pornographic content identification
Check live broadcast streaming and video streaming, monitoring whether the live broadcast is compliant with the regulations in real time.
Social networking information management and control
Check the pictures within communities and forums to reduce the manual review costs, leaving spam information no place to hide in combination of our text content security and account security products.
As research and development led by world's top-level experts in the image field and with the deep learning technology, the product's pornography identification capability is 20 to 30 times higher than traditional algorithms.
With advanced GAN algorithm and unsupervised decision-making boundary fitting, it surpasses traditional deep learning in terms of model generalization and positioning capabilities.
Professional data collection team provides data support, with massive sample library, covering more than 90% of Internet videos and pictures, to conduct model training.
With open audit platform and rules engine, it can provide one-stop scenario solution.