Work

Benchmark Analysis of YOLOv8 for Edge AI Video-Surveillance Applications

Year: 2024

Type: conference-paper

Source: IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications

DOI: 10.1109/mesa61532.2024.10704889

Authors: Daniele Berardini, Lucia Migliorelli, Lorenzo Cardoni, Christian Parente, Alessandro Rongoni, Daniele Sergiacomi, Adriano Mancini

Institution: Marche Polytechnic University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: closed

OpenAlex ID: W4403279059

FWCI: 1.604

Cites: 16

Cited by: 7

Related to: 10