In a groundbreaking development, Stratom, a leading developer of autonomous ground vehicles and robotic systems, has been selected to create an Autonomous Asset Tracking System (AATS) using artificial intelligence (AI) and machine learning (ML). This system will revolutionize military logistics by accurately identifying and tracking military assets across various environments and modes of transport.
The AATS software stack developed by Stratom utilizes machine learning to detect and transcribe airplane tail numbers, enabling it to determine which plane the tail number is associated with. This information can then be communicated to databases and autonomous ground vehicles (AGVs) to autonomously refuel or load the aircraft. Elizabeth Gilmour, senior robotics perception engineer at Stratom, explains, “By eliminating the complexities and uncertainties associated with traditional asset tracking systems, our streamlined, modification-free solution simplifies distributed operations while addressing imminent logistics challenges created by adopting the ‘Agile Combat Employment’ concept.”
Stratom’s initial focus for this project is on the software component, which involves developing a suite of machine learning models to process images and extract data such as asset type and identification numbers. This approach eliminates the need for physical modifications to current assets, making it a cost-effective and highly scalable solution for logistics operations.
Beyond automated asset tracking, the AATS technology also simplifies the orchestration of logistics equipment for cargo, munitions, and refueling on the flight line. Initially designed to help autonomous refueling and cargo-loading vehicles identify the correct aircraft, the AATS system has garnered interest for other potential applications. It can be used to uniquely identify not only airplanes but also assets with identifying numbers such as rail cars, trailers, or pallets. Additionally, it has the capability to identify relevant text in a wide range of operating situations.
Mark Gordon, president and CEO of Stratom, emphasizes the company’s vision for the AATS, stating, “Building on our existing machine learning capabilities in object detection and text recognition, we’re solving today’s problems and anticipating the future needs of a rapidly evolving global market. This unique solution sets the stage for our machine learning-powered system to seamlessly integrate into various sectors across military and commercial applications, providing unprecedented tracking accuracy and operational efficiency.”
With the AATS, Stratom is poised to revolutionize logistics and supply chain management by enhancing efficiency, security, and adaptability to future demands. This development will have far-reaching implications for both military and commercial applications, offering a game-changing solution for tracking and managing assets.
Stratom’s expertise in unmanned ground vehicles and autonomous robotic systems, combined with its commitment to solving real-world challenges, positions it as a go-to expert for global corporations, local businesses, and government institutions. The company’s extensive experience in research and development, engineering, and system integration of autonomous technologies and solutions underscores its ability to deliver unique and tailored solutions for each customer’s specific needs.
By leveraging the power of AI and ML, Stratom is at the forefront of driving innovation in logistics, providing unprecedented tracking accuracy and operational efficiency. This development signifies a major step forward in military logistics and marks a significant milestone in the evolution of autonomous systems for commercial and defense applications.
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