The distribution of child pornography is one of the most disturbing cyber crimes. With the growth of the internet and the ease of file-sharing these days, child pornography has grown to become a world wide issue. Dealing with the exploitation of children in a sexual manner has become a big issue for law enforcement around the world. These cases sometimes involve thousands of images and finding the right ones can become a huge task.
Finding the digital evidence can be a real headache when it's mixed in with thousands of unrelated images. To make an investigator's job easier, MacForensicsLab offers a built-in skin tone analyzer. This feature quickly filters out images of interest based on a number of user entered parameters. The investigator filter their results based on any combination of the following criteria:
- Percentage of skin tone contained in the image.
- Minimum and maximum file size.
- Vertical and horizontal minimum and maximum pixel size.
By using these simple parameters an investigator can narrow a search for suspect images down from hundreds of thousands to just a couple hundred (or even less). This can save the investigator hours of time that would have been spent manually searching through images that had no relevance to their case.