Hawkeye Surveillance, a bio-inspired flapping-wing ornithopter system developed for discreet aerial monitoring with real-time visual threat detection, demonstrates a complete end-to-end surveillance workflow and provides a formally defined detection refinement approach suitable for controlled evaluation and future benchmarking.
A lightweight, real-time object detection system specifically designed to assist visually impaired individuals in identifying surrounding objects, thereby improving navigation and personal safety and potential for integrating audio feedback and adaptive thresholding in future versions to further enhance accessibility f...
I. Ibrahim, Aishatu Ibrahim Birma, A. Umar et al.· World Journal of Advanced En...· 0 citations
The installation of a real-time visual tracking system with an active pan-tilt camera for indoor human motion detection is presented, which shows that the inclusion of YOLOv10 significantly improves detection precision and temporal consistency.
Ayman Javid Hussain, Lalitha Saroja Ch, Ruqiya Fatima· International Journal of AI...· 0 citations
The automatic recognition of objects in aerial thermal images plays a very crucial role in many real-time applications. The advancement of Unmanned Aerial Vehicles (UAVs) has enabled real-time surveillance and monitoring in sectors such as defense, agriculture, and disaster management. Small target size, limited spatia...
B. Ashwini, G. Muthupandi· Engineering, Technology &...· 0 citations
Bird strike is a typical sudden-onset disaster endangering civil aviation safety. Accurate and efficient bird target detection serves as a core prerequisite for airports to prevent bird strike incidents. To tackle the challenges of tiny bird targets in complex airport environments, including low pixel coverage, weak fe...
Hui Duan· Journal of Computer Science...· 0 citations
The paper is devoted to the creation and approbation of the neural network method for detecting and forecasting the trajectories of small UAVs in a video stream that integrates detection, tracking, and transformer prediction into a single high-performance pipeline. The architecture combines the YOLOv12 model for object...
I. Krak, M. Shurypa, M. Molchanova et al.· CEUR Workshop Proceedings, V...· 0 citations
This work proposes LSO-YOLO, a novel real-time detector optimized for UAV-based small-object detection that significantly reduces parameter count and computational cost by approximately 67% and 18.18%, respectively, while maintaining a high inference speed of 126 FPS on an NVIDIA RTX 3060 GPU, meeting the requirements...
Peng-Fei Dai, Liang Chen, Yang-Wu Lian et al.· Journal of Real-Time Image P...· 0 citations
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