The primary use of ChildScene is to automatically separate new images of abuse from ones on previously seized PCs and other media. To do this the media is copied and then connected as an external drive to a fast multi-core processor array running ChildScene. The system will read each image or auto-selected video frame, encode it using its unique algorithms, and compare each against a master database containing all the encoded arrays of images that have already been seen in previous seizures. Unlike existing image matching approaches, ChildScene will recognize images that have been resaved, reformatted, or that have been lightly or heavily cropped. Previously unseen images (which are likely to be a small subset) may well be of children that the suspect has abused. They are copied to a separate folder for officers to investigate.
All previously unseen images above a selected severity level can optionally be processed using face, partial face, object, and offender SMT recognition to match against databases of victims and offenders, enabling victims to be recognized and offenders identified.
Within ChildScene the core entity is a scene, i.e. an image of abuse.
