A Centralized Digital Framework for Hardware Asset Management Using Unique Identification System

Modern day policing units are relying more on it. on ad- vanced technological infrastructure such as computing infras- organiza- tion, information networks, surveillance devices, biomet- ric authentica- tion station, forensic analysis equipment, and mobile re- sponse units. These are hardware components that comprise the working backbone. to prevent crime, to document the evidence, to coordinate the emergency, and inter-agency cooperation. Nevertheless, dominating asset manage- ment. police department methodologies in most police departments are rooted in the past. solutions like paper-based ledger, disjointed spread- sheet records, and irregular manual recording of logging. These anti- quated systems often lead to inaccuracy of data, slow status updates, and com- vowed responsibility systems. Lack of a combined digital in- ventory platform has the expression in. another frequent operational is- sue such as lost equipment, pro- delays in audit cycles, lack of efficient maintenance planning, out-of-date warranty. managerial challenges, and poor assignment of responsibility. In radiance of intensifying digitaliza- tion in policing activity and nationwide programs such as the Modern- ization of Police Forces (MPF), devel- The need to have a strong and scalable hardware management solution has arisen. as an absolute neces- sity. This study proposes an in-depth Digital Asset Management. Sys- tem (DAMS) is an architecture designed to be used by law enforcement applica- tions. The framework includes a data repository that is centrally managed. ment, tracking devices by identifier, full lifecycle monitor- ing and granular role-based access control. The system implementation uses a multi-level architecture involving Java Servlets, JSP-based. user in- terfaces and normalized MySQL database schema. Automated expiry and maintenance schedule notification, and hardware failure will guar- antee preemptive action, hence mini- reducing operational shocks. 2 M. B. Patil et al. Simulated datasets of medium-size were used in system validation. scale district services of 450 devices, 85 staff and several. sta- tion deployments. There were improvements in performance measures in terms of asset. traceability, hours to seconds of time saved in equip- ment localization, and made significant changes to accountability mea- sures. The paper includes holistic building plans, working process di- agrams, entity-relationship models, performance benchmarking charts, and tions. created in TikZ and makes sure it is thoroughly documented. The research finds that the suggested model provides a scalable, safe and cost-effective solution that modernizes hardware man- management models of the modern law enforcement organizations. The keywords: Law Enforcement Asset Management, Digital Identification. Java Enterprise Framework, Role-Based, Inventory System, Inventory Automation.Security, Modernization of Police Technology.