SISTEMA PARA GESTÃO DE VEÍCULOS APREENDIDOS

Abstract

The management of seized vehicles by the Civil Police is a strategic administrative activity that demands precision, traceability, and security in the handling of information. However, in many police units, this control is still performed manually through scattered spreadsheets and physical records, which leads to inconsistencies, rework, and difficulties in quickly accessing data. This work presents the development of a web-based system for managing seized vehicles, implemented at the 8th Regional Police Station (8th DRP) of the Civil Police of the State of Goiás (PCGO), Brazil. The system was built using the Python programming language and the Django framework, following the Model-View-Template (MVT) architectural pattern, with a PostgreSQL database, a responsive interface built with Bootstrap 5, and PDF document generation through the ReportLab library. The methodology adopted was applied research with a qualitative approach, collecting requirements through informal interviews conducted directly with the police unit's staff. The system encompasses the complete registration of vehicles, owners, and police procedures, as well as full lifecycle tracking of each seized asset — from the initial record through return to the owner, forwarding to auction, or disposal. Additional features include image management with automatic compression, filtered report generation, a real-time dashboard with key indicators, role-based access control, and an audit trail for all operations. The evaluation conducted with the staff of the 8th DRP demonstrated that the tool significantly reduced the time required to locate records, eliminated inconsistencies caused by manual controls, and was considered intuitive and easy to use by the officers themselves. The results indicate that the solution met its proposed objectives, contributing to the modernization of seized asset management and serving as a model for implementation in other Civil Police units. The software was formally registered with the Brazilian National Institute of Industrial Property (INPI) in two modules — backend (process no. BR512025006985-5) and frontend (process no. BR512025006723-2) —, with the IF Goiano as the holder, granting 50-year intellectual property protection to the developed product.