Design and Development of Citizen Surveillance and Social-Credit Information System for Bangladesh

Abstract

Most of the areas of Bangladesh face a wide range
of threats, ranging from terrorism and civil unrest to kidnapping,
rape, and murder. To reduce the impact of these threats, the
authorities must capture real-time information on what is
happening in and around the city. Therefore, there is a growing
requirement for utilizing new and emerging technologies to make
the cities safer. The development of the monitoring system in the
technological field has become a blazing topic in the milieu of
scholars, and AI techniques have become an essential part of the
future era. With the help of AI & deep learning, people's social
behavior (Action Recognition) can be evaluated. By
implementing the social credit score system, authorities can mark
the citizen's activities and analyze them. To detect and recognize
the actions of a human, YOLOV2 architecture was used and
incorporated the SQL database (SQLite) to record the social
credit score. A citizen can visualize their credit score from an
HTML-based website.