EverASM uses an AI algorithm that can deliver precise shoeprint matching by effectively extracting high-quality pattern features. This algorithm is designed to identify and analyze different patterns present on the shoeprint, enabling it to provide accurate results. The algorithm uses machine learning techniques to learn from the data it analyzes, continually improving its performance over time. This feature allows forensics specialists to quickly identify potential leads and build strong cases based on available evidence.
EverASM offers a high-speed shoeprint search engine that facilitates swift retrieval of shoe models from an extensive database. This feature significantly streamlines the shoeprint analysis process and enables forensics specialists to quickly identify matching shoe models based on crime scene shoeprints. The search engine is designed to be highly efficient, enabling users to search through large amounts of data in a short amount of time.
EverASM also offers a customizable footwear impression database solution that provides tailored data fields for more precise and efficient analysis. This feature allows users to create a customized database according to their unique requirements, which significantly enhances the software's overall efficiency. Forensics specialists can use this feature to add relevant information to the database, such as shoe manufacturer, brand, and model, which can be used to quickly identify matching shoe models.
The speedy search function is a key feature of EverASM that allows users to quickly and accurately identify matching shoe models from the extensive database based on crime scene shoeprints. This feature significantly reduces the time required for analysis, enabling forensics specialists to quickly identify potential leads and build strong cases based on available evidence. The speedy search function is designed to be highly efficient and accurate, ensuring that the results provided are reliable and useful.
EverASM seamlessly integrates with EverOS, which is an advanced operating system designed for forensic investigations. This integration enables the automatic creation of an image database of acquired outsole patterns via the Everspry Outsole Scanner. The integration provides a secure and efficient way to manage the data collected during forensic investigations, enhancing the overall efficiency and accuracy of the investigation.
EverASM also includes a case-linking feature that enhances case-solving efficiency by linking shoeprints with similar characteristics and analyzing related cases. This feature allows forensics specialists to quickly identify potential leads and build strong cases based on available evidence. The case-linking feature is designed to be highly efficient and accurate, ensuring that the results provided are reliable and useful.
EverASM offers two deployment options, allowing users to choose between a standalone or network version based on their unique requirements. The standalone version is ideal for users who require a high degree of security and isolation. The network version is ideal for users who need to access the software from multiple locations or share data with other users. The two deployment options ensure that users can maximize resources and customize their deployment based on their specific needs. Additionally, the software can work completely offline, ensuring full isolation and police data security, which is essential for maintaining the integrity of the evidence.