Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance
Summary
Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance is a scholarly article[1].
Key Facts
Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-real-time-detection-of-infant-drowning-using-yolov5-and-faster-r-cnn-models-based-on-video-surveillance
MLA“Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-real-time-detection-of-infant-drowning-using-yolov5-and-faster-r-cnn-models-based-on-video-surveillance.
BibTeX@misc{4ortxyz_automatic-real-time-detection-of-infant-drowning-using-yolov5-and-faster-r-cnn-models-based-on-video-surveillance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-real-time-detection-of-infant-drowning-using-yolov5-and-faster-r-cnn-models-based-on-video-surveillance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance — https://4ort.xyz/entity/automatic-real-time-detection-of-infant-drowning-using-yolov5-and-faster-r-cnn-models-based-on-video-surveillance (retrieved 2026-05-24)
