Scholarlink

A prototype is reported to inspect liquid soap bottles and their classification by colour. The process is carried out in the following way. The bottles are centered at the input of a conveyor belt with a positioning mechanism. Then, they are taken to the inspection system. Their images are obtained, and it is verified that the bottle satisfies the filling requirements. The bottles that satisfy the required liquid level, continue on the conveyor belt. In the next stage, they are separated according to the colour of their content. If a bottle does not satisfy the requirements, it will continue to the conveyor belt output. The system has a Pixy camera (CMUcam5). The image is obtained and processed by an Arduino Mega. It activates the bottle classification system (by liquid level and colour). In addition, it counts the inspections carried out and displays the information on the HMI. The interface is a module with a touch screen that allows navigation among the different menus. To reduce the space required by the system, a Raspberry Pi 3 minicomputer was used. The system prototype was successfully implemented. It inspects 19 bottles per minute.

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Bottle Inspection and Classification System by Volume and Colour

  • 章节

  • 发表日期：

    2025年

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  • Mauricio Aarón Pérez Romero,
  • Alejandra Armenta Molina,
  • Luis Héctor Hernández Gómez,
  • Luis Fernando Franco Guzmán,
  • Armando Josué Piña Díaz,
  • Marcial Margarito Sánchez Sánchez,
  • Tanya Nerina Arreola Valles

摘要

A prototype is reported to inspect liquid soap bottles and their classification by colour. The process is carried out in the following way. The bottles are centered at the input of a conveyor belt with a positioning mechanism. Then, they are taken to the inspection system. Their images are obtained, and it is verified that the bottle satisfies the filling requirements. The bottles that satisfy the required liquid level, continue on the conveyor belt. In the next stage, they are separated according to the colour of their content. If a bottle does not satisfy the requirements, it will continue to the conveyor belt output. The system has a Pixy camera (CMUcam5). The image is obtained and processed by an Arduino Mega. It activates the bottle classification system (by liquid level and colour). In addition, it counts the inspections carried out and displays the information on the HMI. The interface is a module with a touch screen that allows navigation among the different menus. To reduce the space required by the system, a Raspberry Pi 3 minicomputer was used. The system prototype was successfully implemented. It inspects 19 bottles per minute.