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NUCTECH
Reshaping airport security with enabling technologies
Dr. Zhiqiang CHEN CEO
However, it is noteworthy that the pandemic is a catalyst that has greatly accelerated the changes already happened within aviation security and profoundly changed its dynamics. With high expectation on health, safety and contactless processing, airports are required to rethink and even transform its security protocol to better address the upcoming New Normal.
In this regard, the increasing application of innovative technologies, like Cabin Baggage CT scanners or AI algorithms, may lend a hand for airports to strike a balance between expanded security and operational efficiency.
Reinventing checkpoint security with CT
CT carry-on baggage scanner is similar to the one used in the medical field. It is believed to be the most consequential technology available today for airport checkpoint, and is gaining momentum around the world to provide enhanced security assurance and increased passenger throughput.
With unrelenting commitment to innovation, NUCTECH launched its Kylin Ti X-ray CT inspection system to help airports upgrade their checkpoint baggage screening to better serve passengers today and tomorrow. Kylin Ti gantry rotates at a constant speed when the baggage is conveyed through the tunnel, generating 3D, slice and DR images simultaneously. The rich information gathered helps operators find suspicious items within carry-on bags quickly and easily by overcoming the problem of overlapping. Approved by European Civil Aviation Council with the highest standard of C3, Kylin Ti offers the detection capabilities for passengers to leave electronics and liquids within their bags, reducing the trays needed for screening. With this in place, close contacts among passengers, officials and even surfaces can be minimized with much less opportunities for virus transmission.
Early adoptions have been very successful. Both passengers and operators have welcomed CT as a game-changer, as baggage screening has been significantly sped up with enhanced detection capabilities.
Further integrated with automatic screening lanes, potentials of CT scanner could be further unleashed. The whole screening process can be largely automated, with no operators needed to move trays from rear to front. The throughput of the screening lane can be more than doubled. Also, with little manual work needed, operators and passengers could be better protected from unnecessary interactions with high-contact surfaces. Further configured with Ultra Violet disinfection module, the automated screening lane can automatically disinfect high touch trays to minimize the risk of cross-infection.at checkpoints.
Achieving overall control through centralized platform
By incorporating all checkpoint components into one integrated platform, FLEX-ONE network integrated system enables airports to improve screening effectiveness and optimize airport staffing.
As a core function, centralized image processing (CIP) could allow for X-ray images being sent directly to security staff situated away from the checkpoints. By working in a quiet environment with fewer distractions, operators can achieve better performance in image interpretation, observe social distancing rules and minimize risky contacts with passengers. Furthermore, as operators are no longer confined with any specific screening lane, scanning pictures could be sent to the next available analyzer for interpretation, therefore optimizing resource allocation especially during peak hours.
Keeping one step ahead with Artificial Intelligence
To keep ahead of evolving security threats, airports need to continually improve their detection capabilities in a fast and cost-efficient way. To this end, Artificial Intelligence (AI)-based automatic detection algorithms offer a feasible way to help detect an ever-expanding list of prohibited or dangerous items, as AI/deep learning is a quick learner when adequate data is provided.
WEKNOW, a proprietary NUCTECH AI platform, integrates deep learning algorithms and intelligent image analysis into X-ray systems. Reducing subjective human interpretation and leveraging an expandable detection library, WEKNOW increases throughput while minimizing manual inspections and false alarm rates. Consistent decision-makings and freedom from fatigue or distractions also help WEKNOW stand out as a superior tool when the workforce is volatile in the time of COVID-19.
Besides, WEKNOW can also be utilized to optimize system operations and minimize system downtime. As system data is collected and analyzed by AI algorithms in a timely manner, system performance can be monitored to better inform proper maintenance and quick fixes.
Simply put, the state-of-the-art technologies empowers airports to improve their security posture, optimize their operations, and provide passengers with a safe, secure and smooth journey. With decades of expertise in airport security, Nuctech is dedicated to helping global airports to weather through the unprecedented times, better prepare and embrace the new normal of airport security in the post COVID-19 era.
Further integrated with automatic screening lanes, potentials of CT scanner could be further unleashed. The whole screening process can be largely automated, with no operators needed to move trays from rear to front. The throughput of the screening lane can be more than doubled. Also, with little manual work needed, operators and passengers could be better protected from unnecessary interactions with high-contact surfaces. Further configured with Ultra Violet disinfection module, the automated screening lane can automatically disinfect high touch trays to minimize the risk of cross-infection.at checkpoints.
Achieving overall control through centralized platform
By incorporating all checkpoint components into one integrated platform, FLEX-ONE network integrated system enables airports to improve screening effectiveness and optimize airport staffing.
As a core function, centralized image processing (CIP) could allow for X-ray images being sent directly to security staff situated away from the checkpoints. By working in a quiet environment with fewer distractions, operators can achieve better performance in image interpretation, observe social distancing rules and minimize risky contacts with passengers. Furthermore, as operators are no longer confined with any specific screening lane, scanning pictures could be sent to the next available analyzer for interpretation, therefore optimizing resource allocation especially during peak hours.
Keeping one step ahead with Artificial Intelligence
To keep ahead of evolving security threats, airports need to continually improve their detection capabilities in a fast and cost-efficient way. To this end, Artificial Intelligence (AI)-based automatic detection algorithms offer a feasible way to help detect an ever-expanding list of prohibited or dangerous items, as AI/deep learning is a quick learner when adequate data is provided.
WEKNOW, a proprietary NUCTECH AI platform, integrates deep learning algorithms and intelligent image analysis into X-ray systems. Reducing subjective human interpretation and leveraging an expandable detection library, WEKNOW increases throughput while minimizing manual inspections and false alarm rates. Consistent decision-makings and freedom from fatigue or distractions also help WEKNOW stand out as a superior tool when the workforce is volatile in the time of COVID-19.
Besides, WEKNOW can also be utilized to optimize system operations and minimize system downtime. As system data is collected and analyzed by AI algorithms in a timely manner, system performance can be monitored to better inform proper maintenance and quick fixes.
Simply put, the state-of-the-art technologies empowers airports to improve their security posture, optimize their operations, and provide passengers with a safe, secure and smooth journey. With decades of expertise in airport security, Nuctech is dedicated to helping global airports to weather through the unprecedented times, better prepare and embrace the new normal of airport security in the post COVID-19 era.
The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.
