Network video-stream unhealthy-content detection method and system based on many cores and GPU

The invention discloses a network video-stream unhealthy-content detection method based on many cores and a GPU. The method includes: obtaining network data packets under a many-core computing platform and classifying the network data packets so as to extract video data packets in the network data packets; recombining the video data packets and decoding the recombined video data packets according to a network video-stream coding grammar so as to generate an image sequence; the GPU adopting a method which combines texture detection and skin color point detection to perform preprocessing on the image sequence so as to determine suspected unhealthy images; and the GPU adopting an SAM to perform precise processing on the suspected unhealthy images so as to determine the unhealthy images. The network video-stream unhealthy-content detection method and system only need to obtain the network data packets to identify the video streams and after the video streams are decoded directly, an image matching detection technology is adopted so that whether unhealthy information is included in the video streams can be identified.