Vision-aided system for obtaining a required weight by efficient choice of irregular fragments



Document title: Vision-aided system for obtaining a required weight by efficient choice of irregular fragments
Journal: Journal of applied research and technology
Database: PERIÓDICA
System number: 000424092
ISSN: 1665-6423
Authors: 1
1
1
2
2
Institutions: 1Universidad Autónoma de San Luis Potosí, Instituto de Investigación en Comunicación Optica, San Luis Potosí. México
2Universidad Autónoma de San Luis Potosí, Facultad de Ingeniería, San Luis Potosí. México
Year:
Season: Abr
Volumen: 15
Number: 2
Country: México
Language: Inglés
Document type: Artículo
Approach: Aplicado, descriptivo
English abstract There are some situations when it is necessary to weigh, with high accuracy and high precision, a required amount of material using heterogeneous and irregular pieces. As an example, in the laboratory, when preparing a liquid phase epitaxial growth, each of the materials that constitute the liquid phase must have an exact weight, within micrograms, given by the phase diagrams. The sources of the materials usually are small polycrystalline pieces of irregular shapes and random weights. Normally the weighing is done by interchanging the small irregular pieces of different sizes according to the criteria of the operator until the given weight is obtained. This is a long and tedious process and since each liquid solution requires several components, and a different liquid phase is needed for each layer, very often weighing it takes several hours. This operative process is prone to errors. To ease this kind of processes, a vision-assisted system has been developed. It consists of a webcam, an analytical balance and a PC. To use this assembly the operator only needs to put sequentially the pieces of the material in the analytical balance. When the required weight can be obtained by a combination of some of the pieces added to the analytic balance, the PC notifies the operator and signals the selected pieces in the screen. With the help of this system, the weighing accuracy has been improved and the time required to accomplish the process has been dramatically reduced
Disciplines: Ingeniería,
Ciencias de la computación
Keyword: Inteligencia artificial,
Adquisición de datos,
Visualización de datos,
Reconocimiento de imágenes,
Vision de máquina
Keyword: Artificial intelligence,
Data acquisition,
Data visualization,
Image recognition,
Machine vision
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