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Use Smart Science to Get More Evidence
As an investigator it is imperative to make sure you get the most information from any device; more information means more chance for evidence. With Camera Ballistics, you open up new areas for evidence discovery.
Photos contain more information than what is just in the image. Camera Ballistics’ unique scientific algorithm goes deeper than just EXIF. It will identify if a photo was taken by a suspected camera device or not. Giving you the more data from photos and making it an essential tool for every forensic investigator.
An Image of Camera Ballistics
Camera Ballistics identifies anomalies in each image and uses this information to create a description of the device’s sensor. The sensor is the part in every digital camera that collects light in millions of pixels and converts it into an image. Due to differences in size and material, each pixel can behave differently making each sensor unique. This is true even between devices of the same make and model. It’s these differences that allow you to generate a sensor fingerprint and link an image to the specific camera that created it.
Only 2-Steps to Digital Forensic Expertise
Camera Ballistics takes its complex analysis method and turns it into a simple two-phase process. Simply create a few reference photos with the suspect camera for the to program learn about the device’s sensor and a sensor fingerprint will automatically be generated. Camera Ballistics will use this fingerprint to analyze the photos you are investigating and match it to the ones taken by the suspected camera.
In this first step, you will supply reference photos from a camera in order to create its sensor fingerprint. The more photos you make the more precise your results will be. It is recommended to make 30-80 photos of white walls or clouds i.e. images without sharp shapes. You will supply the algorithm with this folder of images (up to 200) to be processed. Once analyzed you must choose a name for the fingerprint file.
This step will match the fingerprint file created by the Learn process to the photos under investigation. When you run the analysis, you can see the processing progress followed by the mathematical data and results as after analysis. Finally, a PDF report of the results is generated with thumbnails of all processed images.
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