Exhibit 1: How Deep Patrol Works

Exhibit 1 illustrates how DeepPatrol works. The file crawler identifies every image and video file in a given directory, including subdirectories. The frame extractor then separates each video into a sequence of unique frames, which will be processed as images. The extracted images from each video are saved in their own subdirectory. Next the face detector uses a publicly available, real-time face detector that is particularly suited for detecting small faces.  

Meanwhile, the pornography detection classifier inputs an image and provides a probability score between zero and one. Scores greater than 0.8 indicate a high probability that the image is pornographic. Scores less than 0.2 indicate that the image is safe. The pornography detection classifier then converts the image to an RGB color format and, using the face cropper, resizes it to 256 by 256 pixels. The age estimator then takes the output from the face detector, pornography detection classifier, and face cropper to estimate the age of the person in the image. Pornographic images that contain minors are flagged as potentially being child sexual abuse materials. The estimated age and the pornography detection classifier score are sent to a log file.