Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/170785
Title: Car-interior object detection using deep learning
Authors: Zhou, Yang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Zhou, Y. (2023). Car-interior object detection using deep learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/170785
Project: ISM-DISS-02672 
Abstract: Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementation of computer vision solutions. This strategic utilization holds profound significance and offers tangible practical implications.
URI: https://hdl.handle.net/10356/170785
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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