To Encourage Open-Source Technology Solutions, DHS Awards $1.5 million for Passenger Screening Algorithm Challenge

DHS Logo

On July 9, 2018, the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) in conjunction with the U.S. Transportation Security Administration (TSA) announced eight winners of the Passenger Screening Algorithm Challenge. Contestants were challenged to develop automated algorithms that will lower false alarm rates at airport checkpoints. The eight prizes, totaled $1.5 million and ranged from $500,000 to $100,000. 

​About the Competition 

​The competition was held in two stages. As part of the first stage, contestants were challenged to develop an algorithm that analyzed 1,000 volunteer passenger images hosted in a variety of different formats. Contestants who made it to the second stage where challenged to replicate the analysis, but with a much larger dataset. The winners of the competition will have their algorithms used alongside existing systems to undergo testing and evaluation. Ultimately, DHS S&T and TSA hope to utilize these algorithms at airport security checkpoints soon in the future. 

​Why it was Launched

TSA and DHS sponsored the Passenger Screening Algorithm Challenge to identify non-proprietary algorithms that can “improve speed, detection of prohibited items, and accuracy” in both Government-developed and Original Equipment Manufacturer-developed (OEM) screening equipment. The competition is part of the DHS S&T Apex Screening at Speed (SaS) program. Through non-traditional procurement methods, and creative research, DHS and TSA hope to find screening solutions that can be implemented within five years, which will help TSA operate more efficiently and securely, while minimizing inconvenience to passengers. Apex SaS envisions an environment where 300 passengers and their carry-on luggage are scanned per lane per hour. Both DHS and TSA want Agents spending less time reviewing images, and more time observing and assisting passengers.

TSA attributes delays at its airport security checkpoints in part to the performance of its current detection algorithms and their procurement process. TSA currently purchases algorithms exclusively from the manufacturers of its scanning equipment and has complained that these algorithms are expensive and often take a while to be fully released to the agency. Additionally, the proprietary nature of the algorithms means that changing them to fit new screening or threat detection requirements is challenging often  must be performed by the OEM on the equipment itself. Contestants are thus challenged to develop open-source solutions to these challenges and help DHS/TSA discover “new, non-traditional performers that might otherwise be overlooked”.

Open Source Code

​The U.S. Government has been making more of their source-code public to encourage improvements through collaboration among the public and between government agencies.  By making the code open-source, agencies can identify potential reuse of existing code and not have to use funding to develop similar code. As part of this movement, the U.S. Government launched a website that makes available a portion of the U.S. Government’s code. The Federal Government’s open source code policyis also available for anyone to read. 

More Posts

CTPAT | Cargo Smuggling Trends Members Should Know

The CTPAT Minimum Security Criteria, regarding transportation security, emphasizes critical areas of conveyance security due diligence. To maintain contraband-free supply chain, MSC requires your supply chain operations team to keep up with evolving smuggling trends. Listed below are event smuggling trends all CTPAT member companies should be aware of:

2022 Trade Facilitation and Cargo Security Summit

CBP outlined the new requirements set forth in the CTPAT Trade Compliance program regarding forced labor. For CTPAT Tier II or Tier III members participating in the CTPAT Trade Compliance partnership, CBP released the new requirements that take effect on August 1st, 2022.

CTPAT Virtual Validations Checklist

The validation process is extensive. Virtual validations can last anywhere from 3 to 8 hours. When necessary, the validation will be divided into multiple sections. CBP’s goal is to leverage technology to further standardize virtual validations by using data to reduce validation backlogs and develop efficient feedback systems. Here are the latest lessons and best practices for CTPAT virtual validations from CBP’s 2022 Trade symposium.

This website uses cookies to ensure you get the best experience on our website.