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All About Forensic Photogrammetry Software

Forensic Photogrammetry Software with the ability to produce an accurate bio-metric measurement of a suspect’s dimensions (e.g. height), and crime scene measurements from surveillance video and photographs.

You can learn more about crime scene reconstruction software from https://cognitech.com/cognitech-automeasure-64/

foresic photgrammetric software

It is a general photogrammetric tool-set for measuring any subject or crime scene captured in at least one or several images/video frames. The automated visual workflow interface provides step-by-step instructions.

Steps are colour coded according to completion and keep the end-user aware of current progress. Since it provides step-by-step instructions; advanced knowledge of photogrammetry is not needed in order to utilize the software.

Contextual Feedback provides constant instruction on the next step to be taken. Evidence images with measurements can easily be exported in standard image formats.

Photogrammetric software has advanced point placement functionality provides a flexible method of placing, dragging & dropping and meta-tagging corresponding points of interest in order to simplify the process of multi-view stereo matching. 

3D MultiView Measure

D MultiView Measure provides more accurate measurement results when using multiple images. It provides height, area, and distance measurements of objects from a single scale measurement, whether or not the original camera source is available.

It does not require that any linear structures be visible in the evidence image. Additional photos required for MultiView Measure can be taken at any time as long as there are enough similar features present from the evidence image. This process increases measurement accuracy and allows measurements to cover larger crime scenes.

MultiView Measure is designed to be used not just for measuring the height of an individual in the evidence image, but also to measure any geometric attributes of the crime or accident scene captured in multiple images.