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UK researcher develops drone system to detect plastic landmines
Modern anti-personnel mines are small and often made with plastic casings that standard metal detectors cannot detect.
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
Abstract: The Internet of Things (IoT) is transforming everyday objects. However, its devices’ limited memory, processing power, and network capabilities make them susceptible to security breaches.
Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...
AI security cameras are transforming modern smart home security by analyzing live video feeds in real time to detect unusual activity with high accuracy. Using advanced convolutional neural networks, ...
Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
Abstract: Accurate passenger counting is essential for managing congestion in railway vehicles. Although onboard CCTV footage can be used for this purpose, limited camera views often cause occlusion, ...
Summary: Subtle hand movements during grasping tasks may help diagnose autism spectrum disorder (ASD) with high accuracy. Using machine learning, researchers analyzed how autistic and non-autistic ...
OSMDeepOD is a project about object detection from aerial imagery using open data from OpenStreetMap (OSM). The project uses the open source software library TensorFlow, with a retrained Inception V3 ...
The Space Systems Command’s Space Domain Awareness (SDA) Tools Applications and Processing (TAP) Lab collaborated with commercial and academic partners to achieve mission success for Apollo ...
Researchers have combined various x-ray imaging technologies to create multi-contrast images that can be used to detect threatening materials such as explosives in thousands of complicated scenarios.
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