The state-of-the-art artificial intelligence (AI) system, developed through collaboration with Japan, lies dormant at Karachi Airport, impeding the practical implementation of the Facial Recognition System (FRS) to identify wanted individuals.
One of the primary obstacles to the system’s functionality is the absence of comprehensive data on wanted suspects, which is necessary for their registration into the system. Despite efforts, law enforcement agencies and other institutions have yet to provide complete information on wanted individuals.
Moreover, the manpower shortage at the Federal Investigation Agency (FIA) further exacerbates the challenges faced in utilizing the system to its full capacity. While the FRS was installed with the intention of enhancing security measures at the airport, the lack of personnel hampers its effective operation.
Upon its installation, the system boasted modern cameras strategically positioned at key locations within the airport, including entry gates to international departures. These cameras were designed to capture images that could be instantly analyzed by the FRS, allowing for the prompt identification of wanted suspects. However, without the requisite data and operational support, the potential of the system remains untapped.
Despite initial efforts to activate the system, the operation room has remained inactive for several months since its inauguration. Even when operationalized a year ago, the system’s efficacy was compromised due to the absence of essential data required for effective utilization.
Efforts are underway to address these challenges and revitalize the AI system at Karachi Airport. It is imperative for relevant authorities to expedite the provision of required data and allocate adequate manpower to ensure the seamless operation of the FRS. Only through collaborative efforts can the potential of this advanced technology be realized in enhancing security measures and safeguarding public safety at the airport.
