Multi-camera vehicle counting using edge-AI

作者：

Highlights：

• Smart mobility is crucial for smart cities and traffic-related issues.

• We introduce a multi-camera system able to count cars from images of parking areas.

• We combine a deep learning-based technique and a decentralized geometric approach.

• All the algorithms run on the edge devices reducing the traffic on the network.

• Our solution benefits from redundant information from different data sources.

摘要

•Smart mobility is crucial for smart cities and traffic-related issues.•We introduce a multi-camera system able to count cars from images of parking areas.•We combine a deep learning-based technique and a decentralized geometric approach.•All the algorithms run on the edge devices reducing the traffic on the network.•Our solution benefits from redundant information from different data sources.

论文关键词：Smart parking,Counting objects,Edge AI,Counting vehicles,Smart mobility,Deep learning

论文评审过程：Received 4 June 2021, Revised 16 May 2022, Accepted 19 June 2022, Available online 24 June 2022, Version of Record 30 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117929