Pangiam, a prominent trade and travel technology company, has secured a prime contract from the US Customs and Border Protection (CBP) for the development and implementation of Anomaly Detection Algorithms (ADA).
Boosting CBP's Efforts in Border, National Security
Teaming up with West Virginia University, Interesting Engineering reported that Pangiam aims to leverage advanced artificial intelligence (AI), computer vision, and machine learning capabilities to bolster CBP's efforts in border and national security.
The cornerstone of Pangiam's contribution is Pangiam Bridge, an AI-driven global solution introduced in May, designed to streamline customs processes. This innovative solution enables customs officials to automate inspections of baggage, conveyances, and containers.
Andrew Meehan, Pangiam Bridge Lead, highlighted CBP's strategic and forward-thinking approach to adopting AI technologies, emphasizing their commitment to advancing border and national security missions.
The ADA project highlights a notable shift towards advanced technologies in border security. The partnership reflects a dedication to providing AI solutions that enhance efficiency and security along the border.
Implementation of Robot Dogs, AI-Powered Inspectors
The implementation of robot dogs and AI-powered inspectors is now becoming a tangible reality, with these advanced tools poised to conduct thorough scans of vehicles and cargo at the U.S.-Mexico border. The primary goal is to identify any unusual movements or patterns that may signify security threats.
PR Newswire reported that this move towards innovative border security is part of a broader trend, where the Department of Homeland Security (DHS) is actively investing in diverse technologies to fortify and patrol the nation's borders effectively.
As part of this initiative, CBP has teamed up with Ghost Robotics to create robot dogs designed to navigate complex terrains while transmitting real-time video and data. Complementing this, CBP has integrated advanced technologies such as license plate readers and facial recognition systems at various checkpoints.
Despite the promising strides in border security technology, Axios reported that critics are raising concerns about data transparency and privacy. Dave Maass from the Electronic Frontier Foundation questions the government's transparency in collecting data on U.S. citizens, emphasizing the need for openness.
The U.S. Government Accountability Office's report has unveiled the use of facial recognition systems without mandatory staff training for criminal investigations. This lack of training raises significant concerns about the proper and ethical use of these technologies.
Meehan stresses the importance of federal agencies being transparent and accountable in deploying new technologies. He emphasizes the necessity for the government to educate the public about the use and advantages of technologies like biometrics, allowing citizens to make informed choices.
In summary, the collaboration between CBP, Pangiam, and West Virginia University marks a transformative move in border security. The integration of AI, robot dogs, and other advanced technologies signifies a commitment to adapting practices to address evolving security challenges.
However, it also underscores the imperative need for transparency and accountability in the deployment of these technologies.
