Cargando…
Vision-Based Detection and Classification of Used Electronic Parts
Economic and environmental sustainability is becoming increasingly important in today’s world. Electronic waste (e-waste) is on the rise and options to reuse parts should be explored. Hence, this paper presents the development of vision-based methods for the detection and classification of used elec...
Autores principales: | Chand, Praneel, Lal, Sunil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738186/ https://www.ncbi.nlm.nih.gov/pubmed/36501783 http://dx.doi.org/10.3390/s22239079 |
Ejemplares similares
-
Surface Defects Detection of Stamping and Grinding Flat Parts Based on Machine Vision
por: Tian, Hongzhi, et al.
Publicado: (2020) -
Automatic Detection and Classification of Cardiovascular Disorders Using Phonocardiogram and Convolutional Vision Transformers
por: Abbas, Qaisar, et al.
Publicado: (2022) -
Vision-Based Apple Classification for Smart Manufacturing
por: Ismail, Ahsiah, et al.
Publicado: (2018) -
New pediatric vision screener, part II: electronics, software, signal processing and validation
por: Gramatikov, Boris I., et al.
Publicado: (2016) -
Remote fruit fly detection using computer vision and machine learning-based electronic trap
por: Molina-Rotger, Miguel, et al.
Publicado: (2023)