We work in the field of forensic video analysis, which is generally intended as the analysis of the images themselves and their context in a legal setting. For this reason, our customers often ask us if our products are valid for court use and if they have been validated and certified. We have written this post as an answer to the most common questions related to this topic.
You can also download this as a PDF document here.
What are the scientific foundations of Amped Software products?
All the processes implemented in our software follow the principles of scientific methodology. Any process follows these basic principles:
- Accuracy (Reliability): our tools and training program help users avoid processing errors caused by the implementation of an inappropriate tool or workflow and help mitigate the impact of human factors / bias.
- Repeatability: the same process, executed by the same user at a different time, must lead to the same result. The project format in Amped FIVE, for example, does not save any image data. Every time a project is reopened, all the processing happens again starting from the original data. In the event that a project file is lost or as a part of a validation or other test scenario, the same user can repeat the steps and settings, guided by the tool’s report, and achieve the same results.
- Reproducibility: another user with the proper competency, should be able to reproduce the same results. Amped FIVE generates a complete report detailing all the steps of the processing, the settings / parameters applied, a description of the algorithms employed in the processing and the scientific references for those algorithms (when applicable). In this way, another user, with a different tool set or by implementing the same algorithms, should be able to reproduce the same results. Given the huge number of implementation details and possible differences, it is not expected to produce a bit by bit copy of the results, but only to produce an image of similar informative content.
Additionally, we apply strict due diligence on the applicability of the algorithms for the forensic environment. Not every algorithm is, in fact, properly applicable in a forensic science setting. We cannot use algorithms which have a random component because they would not be reproducible and repeatable (when we do, we set a fixed seed for the random number generation) and we cannot use algorithms which “add” external data to the original, for example improving the quality of a face with information added from an average face. All information is derived from the actual evidence file.
We employ algorithms which have been validated by the scientific community through peer review, such as university textbooks, scientific publications, or conference papers. If for some specific task, there are not good enough algorithms available or we need to adapt existing algorithms, we describe the algorithm and attempt to publish them in scientific journals. Continue reading