Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Orchestrating Generative AI Paradigms With Human-in-the-Loop for 3D Generation.

IEEE transactions on visualization and computer graphics·2026
Same author

Correction: A Deep-Learning Approach for Vocal Fold Pose Estimation in Videoendoscopy.

Journal of imaging informatics in medicine·2026
Same author

FedStenoNet: tackling domain shift in x-ray coronary angiography through a personalized federated detection framework.

Computers in biology and medicine·2025
Same author

Recenti progressi in medicina·2025
Same author

A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care.

Diabetes research and clinical practice·2025
Same author

FetalMLOps: operationalizing machine learning models for standard fetal ultrasound plane classification.

Medical & biological engineering & computing·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

622

Embedded Vision Sensor Network for Planogram Maintenance in Retail Environments.

Emanuele Frontoni1, Adriano Mancini2, Primo Zingaretti3

  • 1Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche,Via Brecce Bianche, Ancona I-60131, Italy. frontoni@dii.univpm.it.

Sensors (Basel, Switzerland)
|September 8, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an affordable, camera-based embedded system for retail planogram compliance. The system efficiently detects deviations, ensuring product placement accuracy and shelf management.

Keywords:
computer visionembedded sensorsplanogram integrityretail environmentswireless sensor networks

More Related Videos

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

7.4K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.7K

Related Experiment Videos

Last Updated: Apr 4, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

622
Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

7.4K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.7K

Area of Science:

  • Retail Operations and Merchandising
  • Computer Vision and Embedded Systems

Background:

  • Planograms are crucial for optimizing product placement, sales, and shelf management in retail environments.
  • Maintaining planogram integrity is essential for achieving retail operational goals.
  • Existing methods for planogram verification can be costly and complex.

Purpose of the Study:

  • To develop an affordable and scalable embedded system for automated planogram compliance monitoring.
  • To detect and quantify deviations from an approved planogram using smart cameras.
  • To provide real-time alerts for out-of-shelf events and other retail anomalies.

Main Methods:

  • Implementation of an embedded system centered around smart cameras for retail data acquisition.
  • Development of image processing algorithms to compare real-time shelf images with a reference planogram.
  • Utilization of an Internet of Things (IoT) cloud-based architecture for data aggregation and communication.
  • Deployment of low-cost, easily installable devices for comprehensive shelf monitoring.

Main Results:

  • The proposed system accurately detects and quantifies deviations from the established planogram.
  • Experimental results demonstrate the system's efficiency in identifying discrepancies between base and current shelf images.
  • The system successfully identifies out-of-shelf events, with notifications sent via SMS and/or email.

Conclusions:

  • The developed embedded system offers an economical, scalable, and user-friendly solution for maintaining planogram integrity.
  • This technology enhances retail operations by ensuring accurate product placement and improving shelf management.
  • The system's ability to provide additional retail data, like out-of-shelf events, adds significant value beyond planogram compliance.