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New AI drone finds hidden land mines 10x faster than humans

AI-powered drones are now scanning minefields in Ukraine at a pace that manual survey teams cannot match, with one company reporting that its detection dataset has surpassed 36,000 landmine ...

Nanoparticles and AI can help researchers detect pollutants in water, soil and blood

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...
IEEE

YOLOv8-SE: Underwater Structural Object Detection Algorithm Based on Multibeam Forward-Looking Sonar

Abstract: The detection of underwater objects serves as a fundamental component in the inspection and maintenance of underwater infrastructure. Despite overcoming the shortcomings of optical imaging ...

Nanoparticles and artificial intelligence can help researchers detect pollutants in water, soil and blood

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and ...

Safe Pro Group (NASDAQ: SPAI) Deploys Upgraded AI Algorithms for Drone Operations in GPS Denied Environments

Safe Pro Group (NASDAQ: SPAI) today announced the deployment of upgraded artificial intelligence algorithms to its ...
IEEE

BBD-YOLO: An Improved Object Detection Algorithm for UAV Images Based on Dynamic Sparse Attention and Multi-Scale Feature Fusion

Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...
Scientific Research Publishing

Padilla, R., Netto, S. L., & da Silva, E. A. B. (2020). A Survey on Performance Metrics for Object-Detection Algorithms. In 2020 International Conference on Systems, Signals ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
Scientific Research Publishing

Neha, F., Bhati, D., Shukla, D.K. and Amiruzzaman, M. (2024) From Classical Techniques to Convolution-Based Models: A Review of Object Detection Algorithms. arXiv: 2412.05252.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...