DETECT VERIFY AUTHENTICATE
FiA is a comprehensive software with analysis tools designed for forensic analysis and authentication of digital images by law enforcement, intelligence agencies, counter terror, military and forensic institutions.
This extensive toolkit will allow the user to investigate the evidence and detect possible traces of tampering or other types of inconsistencies. FiA is used to systematically detect forged/doctored file based digital image evidence. it is able to authenticate and uncover where tampering and modification has taken place in a doctored image.
This solution allows the expert to prepare everything needed for official court ready reports and all results are based on a forensic scientific methodology. FiA is a proven solution based on years of research. More research is being conducted to further extend software authentication capabilities to video authentication. FiA was developed for Law Enforcement Agencies only.
The analysis tools in FiA 64 are scientifically peer reviewed and proven methods to detect image manipulationCLICK TO REQUEST INFORMATION OR QUOTATION
Find possible traces of image re-compression, for each Red, Green, Blue (RGB) layer separately, and for their mean.
Displays the blocking artifacts of image data.
Checks for inconsistencies left by local tampering and double JPEG compression.
Computes and displays the correlation between neighboring pixels and blocks of pixels. It can reveal local traces of image manipulation like content aware or copy / paste between different images.
Explore the CFA interpolation process inside a digital photo camera to assess the correlation in each RGB layer.
Computes the smart adaptive arithmetic difference between evidence image and a series of JPG recompressed versions of it using a unique algorithm.
Computes the adaptive arithmetic difference between evidence image and a series of JPG recompressed versions of it using a unique algorithm.
Computes the RGB histogram that can be used to detect traces of previous brightness/contrast or histogram equalization.