googleba88693c99e7e8ce.html
tel. 22 813 10 29 email: biuro@gravsoft.pl
pon-pt w godz. 8-16

Gravsoft informatyka śledcza

Home Informatyka śledcza - ForensicOprogramowanie śledczeAnaliza danych › Camera Ballistics

Camera Ballistics

Dostępny powyżej tygodnia
W magazynie: Dostępny (100 szt.)

Camera Ballistics

A New Era for Forensic Tools

A novel approach to forensics is emerging. The development of digital technology has created a need for revolutionary tools to open up new areas of evidence discovery.

When digital images can provide evidence of criminal activity, linking those images to a specific device is vital. With Camera Ballistics you are now able to identify if a photo was taken by a suspected camera device or not. Camera Ballistics' unique scientific algorithm, developed over a decade by the world's top award-winning researchers, and unmatched results makes it an essential tool for any 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 allows 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.



Learn

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.

Analyze

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.

  • Brak komentarzy