Desarrollo de un sistema de reconocimiento para piezas faltantes en moldes en la industria de alimentos mediante el procesamiento de imágenes con matlab
The chocolate industry transforms cocoa production into finished products that are then exported. During production there is a risk of moulds breaking as mechanical parts of the equipment that cause moulds to deteriorate are involved in the manufacturing process, the probability of a piece of mould...
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| Other Authors: | |
| Format: | Trabajo de grado (Pregrado y/o Especialización) |
| Language: | spa |
| Published: |
Universidad Antonio Nariño
2022
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| Online Access: | http://repositorio.uan.edu.co/handle/123456789/7261 |
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| Summary: | The chocolate industry transforms cocoa production into finished products that are then
exported. During production there is a risk of moulds breaking as mechanical parts of the
equipment that cause moulds to deteriorate are involved in the manufacturing process, the
probability of a piece of mould falling into a tablet and reaching a final consumer is high,
which can generate legal penalties and economic losses for the company by creating a risk
for the consumer, to reduce this, the present project makes an analysis of the variables
involved in the chocolate injection process in the line super cavemil 800 and implements a
system of image capture of the molds that make up the production machine and through the
Matlab googlenet neural network image processing allows the recognition of missing parts
in the molds can thus alert the operator of the machine the presence of an anomaly in them
activating an alert protocol for production. |
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