Evidence Tracking System Using Handheld Scanners and Centralized Database
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Solution Overview
Problem
Current evidence management systems in forensic investigations lack integration between central repositories and mobile scanners, leading to fragmented data entry and limited searching capabilities, particularly for vital statistics and descriptive information related to suspects, victims, and physical evidence, which can result in errors and inaccuracies in the chain of custody.
Innovation Solution
A system comprising a handheld device with a camera and memory, evidence tags with machine-readable indicia, and a central server computer for tracking evidence, allowing for electronic monitoring and storage of investigatory materials, including the ability to attach and link photographs, descriptions, and location references, enabling comprehensive and accurate tracking of evidence throughout the investigation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry and paper-based evidence tracking are used, then device complexity is reduced, but measurement precision and reliability of evidence tracking deteriorate due to human error
Solution Approach 1:
The patent replaces manual paper-based evidence tracking with an automated electronic system using mobile scanners, barcodes, and centralized databases. This substitution eliminates human error in data entry while maintaining manageable system complexity through standardized interfaces and workflows.
Solution Approach 2:
The system creates electronic copies of evidence information through digital imaging and database records. Multiple copies can be stored and accessed simultaneously without risking loss or degradation, improving reliability while keeping the physical evidence intact.
2Loss of information
If centralized evidence repository is implemented, then information availability improves, but device complexity and integration requirements increase
Solution Approach 1:
The centralized repository is segmented into modular functional components including evidence intake, storage, tracking, and retrieval modules. Each module operates independently but communicates through standardized interfaces, reducing integration complexity while maintaining centralized data availability.
Solution Approach 2:
The patent introduces a centralized database as an intermediary layer between mobile scanners and evidence storage. This mediator standardizes data exchange formats and protocols, simplifying integration while ensuring universal access to evidence information.
3Measurement precision
If mobile scanners with camera and memory are used, then measurement precision of evidence documentation improves, but device complexity and cost increase
Solution Approach 1:
The mobile scanner is designed as a multi-functional device combining barcode scanning, digital imaging, text input, and wireless communication capabilities. This universality consolidates multiple separate tools into one device, improving documentation precision without proportionally increasing complexity.
Solution Approach 2:
The patent merges previously separate functions (paper documentation, photography, data entry, and evidence tagging) into a single integrated mobile scanning system. This consolidation improves precision by ensuring all evidence attributes are captured simultaneously and consistently.
4Productivity
If comprehensive searching capabilities are added, then productivity of evidence retrieval improves, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary organization and indexing of evidence data during the intake process. Evidence is pre-tagged with metadata, categories, and search keywords, enabling rapid retrieval without requiring complex search algorithms to process unstructured data.
Solution Approach 2:
Manual evidence retrieval processes are replaced with automated database searching and filtering systems. The computer automatically queries and retrieves evidence based on search criteria, dramatically improving productivity while managing complexity through standardized data structures.
Data Source
AI summary
A system and method for tagging, organizing and tracking evidence during an investigation has evidence kits and mobile communication devices that collect physical, photographic and interpretive evidence, such as materials from a crime scene, interviews with witnesses and an establishing shot of the crime scene or other areas or persons of interest for surveillance operations. The evidence kits can be used to collect physical evidence, and the mobile devices or other computers are used to upload information about the evidence. Users can enter descriptive information about the evidence into the mobile devices while other information pertaining to the evidence may be obtained from other sources and automatically provided to the users for their review and possible incorporation into the record. Each mobile device can store information in memory and communicate the information to the central server computer where it may then be made available to groups of mobile device users.