Design and Development of a Raspberry Pi-Based Shopping Cart Following Robot through Computer Vision and Object Tracking Method
- DOI
- 10.1109/tensymp54529.2022.9864520
- Published
- 2022-07-01
- Container
- 2022 IEEE Region 10 Symposium (TENSYMP)
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/tensymp54529.2022.9864520,
title = {Design and Development of a Raspberry Pi-Based Shopping Cart Following Robot through Computer Vision and Object Tracking Method},
author = {Novie Dave Perez and Jocelyn Villaverde and Wellie Cereneo and Aila Custodio and Sandro Broax Conde and Liezel Bulawan},
year = {2022},
journal = {2022 IEEE Region 10 Symposium (TENSYMP)},
doi = {10.1109/tensymp54529.2022.9864520},
url = {https://doi.org/10.1109/tensymp54529.2022.9864520}
}RIS
TY - JOUR TI - Design and Development of a Raspberry Pi-Based Shopping Cart Following Robot through Computer Vision and Object Tracking Method AU - Novie Dave Perez AU - Jocelyn Villaverde AU - Wellie Cereneo AU - Aila Custodio AU - Sandro Broax Conde AU - Liezel Bulawan PY - 2022 JO - 2022 IEEE Region 10 Symposium (TENSYMP) DO - 10.1109/tensymp54529.2022.9864520 UR - https://doi.org/10.1109/tensymp54529.2022.9864520 ER -
APA
Perez, N. D., Villaverde, J., Cereneo, W., Custodio, A., Conde, S. B., & Bulawan, L. (2022). Design and Development of a Raspberry Pi-Based Shopping Cart Following Robot through Computer Vision and Object Tracking Method. 2022 IEEE Region 10 Symposium (TENSYMP). https://doi.org/10.1109/tensymp54529.2022.9864520
Source records
- crossref · retrieved 2026-09-26T11:25:56.408Z