DIP Based Beverage Inspection On Conveyor Under
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Date
2020
Journal Title
Journal ISSN
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Publisher
COMSATS University Islamabad, Lahore Campus Library Information Services, CUI Lahore
Abstract
Automated vision inspection is creating a revolution as it becomes a vital part of the quality
monitoring process. It offers more accuracy and efficiency. Major Automatic visual inspection
responsibilities include, spotting the occurrence or deficiency of objects in the image and
computing the dimensions of objects to see if they converge conditions. Measurements are built
on characteristic attributes of the object represented in the image. Automatic image processing
systems usually classify the type of data contained in the image as edges, surfaces, and textures,
or patterns.
This project aims at the development of a system for the removal of faulty product in beverage,
water bottles industries. It can be self-operational in controlling, starting with bottle detection
as a faulty product then pushing the products away from the conveyor to some other basket. Our
project mainly deals to detect and remove the faulty products form the product line (conveyor).
This work is currently done manually in product lines in industries. This project is divided into
two major portions i.e. detecting bottles on a conveyor using IR sensor and synchronize it with
the movement of conveyor using the electrical circuit part that includes Raspberry Pi
microcontrollers and once the IR sensor detects bottle on conveyor it gives the signal to
Raspberry Pi and Real time image is captured.
Another part is the camera for image capturing and of course Raspberry Pi for doing image
processing with OpenCV libraries. Raspberry Pi is being used for image processing and sending
commands to the mechanical parts to work accordingly. The camera takes the real-time image
of bottles and send it to Raspberry Pi where it is matched with predefined data for template
matching.
This project covers three major inspections task that are, bottle cap detection (either it is
properly locked or not), logo detection (either bottle has a logo or not) and 3rd is level checking
of liquid inside the bottle (either it is filled to a specific level or not).
Description
Keywords
Department of Electrical and Computer Engineering, Automated vision inspectio, Major Automatic