AI-Enabled Real Time Object Detection and Classification for Retail Application

: Real-time object detection and classification are critical in various industries, particularly in retail and manufacturing, where accurate product identification is essential. Traditional object detection techniques, such as Histogram of Oriented Gradients (HOG), Scale-Invariant Feature Transform (SIFT) with Support Vector Machines (SVM), and deep learning models like Single Shot MultiBox Detector (SSD), require extensive feature extraction and computational resources for training.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-20
DOI
https://doi.org/10.5281/zenodo.15250852
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Enabled Real Time Object Detection and Classification for Retail Application

Zenodo (CERN European Organization for Nuclear Research)
Advanced Neural Network Applications
article

AI-Enabled Real Time Object Detection and Classification for Retail Application

article en

Abstract

: Real-time object detection and classification are critical in various industries, particularly in retail and manufacturing, where accurate product identification is essential. Traditional object detection techniques, such as Histogram of Oriented Gradients (HOG), Scale-Invariant Feature Transform (SIFT) with Support Vector Machines (SVM), and deep learning models like Single Shot MultiBox Detector (SSD), require extensive feature extraction and computational resources for training.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Advanced Neural Network Applications
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AI-Enabled Real Time Object Detection and Classification for Retail Application · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS