In recent times hospitals and jails use facial-recognition technology to identify and categorize people captured on the footage, detect threats through facial expressions and offensive weapons, provide proof of a crime, carry out an analysis on subtle events that may not have been spotted naturally by the human eyes and providing an evaluation from the scene, the motives of the attacker(s).
In addition, its was discovered that on a national scale, the number of state owned surveillance cameras are unknown. However, according to an interview with a respondent from Cyber Plural, operational CCTV cameras within the cities work as silos (a system that operates in isolation from others) and not as a centralised unit.
Therefore, as we join developed economies on the quest for a more sustainable and integrated digital eco-system, this project is determined to provide scientific data that addresses the limitations in the daily operations of the police, state security agencies, and privatized security firms through the secure transmission of real-time data including a path to actualization.
Objective:
– Identify states where closed-circuit television (CCTV’s) cameras have been deployed (i.e., street cameras)
– Distinguish states with surveillance cameras and those without based on ground observation from participants
– Address the gap on the current alienation of Critical National Infrastructure (CNI) such as CCTV cameras nationwide.
Please be truthful when answering each question. The goal is to achieve at least 500 – 1000 responses, therefore. If you take interest in the topic and the relevance of its importance to academia and law enforcement agencies please share as much as you can, on social media and other platforms that may help reach a wider population of citizens in Nigeria.