CoffeeLine

dc.contributor.authorKaram Zaidan
dc.contributor.authorAmeed Salameh
dc.date.accessioned2026-06-28T07:26:44Z
dc.date.issued2026-01-28
dc.description.abstractThis project aims to design and build a smart automated filling machine that can fill and package four different products: coffee, cardamom, tea, and cappuccino, with two available sizes. The system allows the user to choose the product type and the required weight (for example, 0.5 kg). After the selection, the machine automatically fills the container with the correct amount and seals it with a lid. The main idea of the project is to create a small automated production line that can work efficiently and accurately without human interference. The project focuses on using microcontrollers to control mechanical parts and perform industrial processes on a smaller scale. The system uses both Arduino and ESP32 microcontrollers. The Arduino is responsible for controlling the motors, sensors, and the filling process. The ESP32 works as the main controller that communicates with the Arduino to manage system operations and coordinate tasks. A load cell with an HX711 module is used to measure the weight accurately, and the system works in a Local Mode, all processes are done locally through an LCD screen and keypad, where the user can select the product and the desired weight
dc.description.tableofcontentsThe main objective of this project is to design and build a smart hardware system capable of automatically and accurately filling coffee with cardamom, tea, and Nescafe into containers or packages using the ESP32 microcontroller. The system allows users to select the type of product, ingredient amounts, and optional additions, while monitoring stock levels and providing alerts when supplies are low. The project aims to reduce human intervention, enhance the speed and efficiency of the filling process, and deliver a reliable and user- friendly experience.
dc.identifier.citation--
dc.identifier.issn--
dc.identifier.urihttps://hdl.handle.net/20.500.11888/21094
dc.language.isoen
dc.publisherDr. Muhannad Al-Jabi
dc.relation.ispartofseries--; --
dc.titleCoffeeLine
dc.title.alternative--
dc.typeGraduation Project

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