Sep 25, 2021 · In this paper, we propose an indoor object detection and identification system based on deep convolutional neural network. The proposed system ...

We propose to develop a new indoor dataset which consists of 11,000 indoor images containing 25 indoor landmark objects highly recommended for blind and VIP ...

Feb 1, 2022 · Aiming to address this problem, we propose in this paper to develop a new indoor object detection system based on deep learning algorithms.

We propose to develop a new indoor dataset which consists of 11,000 indoor images containing 25 indoor landmark objects highly recommended for blind and VIP ...

Indoor objects detection system implementation using multi-graphic processing units. https://doi.org/10.1007/s10586-021-03419-9 ·. Journal: Cluster Computing ...

Bibliographic details on Indoor objects detection system implementation using multi-graphic processing units.

Aiming to address this problem, we propose in this paper to develop a new indoor object detection system based on deep learning algorithms. Unfortunately, this ...

Gradient computation approach. Indoor objects detection system implementation using multi-graphic processing units. Article. Full-text available. Feb 2022.

Indoor objects detection system implementation using multi-graphic processing units. Abstract. Indoor objects detection and recognition plays an important ...

This paper presents an indoor person localization and tracking system that uses multiple smart cameras equipped with artificial intelligence (AI) accelerators.