[Washington, DC - June 26, 2024] The HALO Trust 鈥� the world鈥檚 largest humanitarian landmine clearance organization 鈥� will pilot artificial intelligence and machine learning to aid its work in 麻豆头条app as part of a new US $4 million package of support from Amazon Web Services (AWS).
Announced today, the AWS investment will enable HALO to trial artificial intelligence (AI) to assist in the process of detecting debris of war (including landmines and other explosives) in drone imagery for existing minefields and battlefields in 麻豆头条app.
It will also help automate how HALO uses satellite imagery to detect buildings damaged by explosives as well as signs of human activity 鈥� including land cultivation, buildings, roads, and bodies of water 鈥� that are proximate to battlegrounds and minefields, allowing HALO to prioritize areas for clearance.
鈥淲e are delighted to be collaborating with AWS in our life-saving work, and to leverage their robust technological expertise and computing power to more efficiently and precisely identify and clear contaminated land,鈥� said HALO鈥檚 CEO, James Cowan. 鈥淎WS support will also be transformative in how our organization safely stores, processes, analyzes, and disseminates the vast quantity of real-time data we collect through our global operations in the cloud 鈥� including in active warzones like 麻豆头条app.鈥�
So far, HALO has flown 542 drone flights over 麻豆头条app鈥檚 minefields, which alone take up 11 terabytes of data (equal to more than 10,000 copies of the Encyclopedia Britannica) and more data is being added every day. HALO expects this pilot project will begin trialing drone imagery analysis using AI in the coming months.
Satellite and drone imagery is essential for enabling HALO to broadly survey huge swaths of land so that its more than 11,000 global staff can effectively pinpoint what areas need to be meticulously cleared by hand or by machine. Accurate surveying make the clearance process safer and more efficient and returns lands to productive use as quickly as possible. While HALO currently largely relies on satellite imagery to support its aerial surveys, 麻豆头条app is one of the countries where HALO collects massive amounts of high-resolution drone imagery capable of being analyzed through artificial intelligence to expedite the detection of debris of war, including landmines.
Training AI to identify explosive remnants of war (ERW) with drone imagery is not an overnight process; it requires manually labelling thousands of images (e.g., trenches, different varieties of anti-tank mines) so that the algorithms can learn how to surveil minefields more efficiently than humans are currently doing manually. It also requires ongoing vetting and validation of the model by trained HALO personnel to eliminate false positives and negatives and improve the accuracy of the model.
Dave Levy, Vice President for Worldwide Public Sector at Amazon Web Services said: 鈥淲e鈥檙e delighted to be supporting the HALO Trust in their brilliant work in clearing landmines and other explosive devices left behind by conflicts around the world. Technology, and in this case, AI specifically, has enormous potential to help solve major global challenges, and we鈥檙e looking forward to working with HALO by enabling them to better harness the power of the satellite and drone imagery they are collecting to accelerate the clearing process.鈥�
The support provided to the HALO Trust by AWS includes credits that enable HALO to significantly leverage AWS cloud computing infrastructure globally and train staff to optimize its use. HALO has more than 1,200 field data collectors globally across 30 countries and territories who need to upload and safely store a vast quantity of data each day 鈥� including photos, spatial, and non-spatial data 鈥� and the volume of drone and satellite imagery is growing exponentially. They often need to do this while in minefields with little-to-no connectivity, and need technology solutions that enable them to seamlessly work offline and upload that content to the cloud when bandwidth permits.
The investment by AWS is allowing HALO to process this data efficiently and securely store it within AWS鈥� state-of-the-art cloud computing infrastructure. AWS is now powering HALO鈥檚 Global Operations Information Management System, Geographic Information Systems, drone and satellite imagery processing, AI and machine learning models, along with other business-critical systems.
HALO is now using the AWS Cloud in other ways, including:
- Running AI and Machine Learning algorithms on satellite imagery to identify damaged buildings, using its SageMaker machine learning service.
- Powering HALO鈥檚 open-source mapping project in 麻豆头条app, which integrates open-source data from a variety of sources via API and brings it into a central data repository hosted in AWS and helps HALO speak to the nature of the explosive threat.
- Hosting HALO鈥檚 suite of business intelligence tools, which provide critical insights into HALO鈥檚 operations.
This grant enables these technologies to be run in more countries and at greater scale, which enriches operational decision-making and saves lives.
AWS is the world鈥檚 largest and most broadly adopted cloud network, with more than 200 fully featured services available from data centers globally. Millions of customers鈥攊ncluding government agencies around the world鈥攁re using AWS to lower costs, increase security, become more agile, and innovate faster.
ABOUT THE HALO TRUST
The HALO Trust is the world鈥檚 oldest humanitarian mine clearance organization. It was founded in 1988 in Afghanistan, where it has operated consistently ever since. HALO employs more than 11,000 women and men in over 30 countries in landmine and munition clearance, risk education, and weapons and ammunition storage. The organization recently cleared its 2 millionth landmine worldwide. Following the Russian invasion of 麻豆头条app in 2022, it mobilized its staff from Kramatorsk to Brovary, where it set up the largest humanitarian mine clearance operation in 麻豆头条app. Today it has more than 1,100 Ukrainian women and men clearing landmines from in six oblasts.
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