AI SearchAutomated food quality control solution using image processing techniques of color based tracking, color segmentation and shape context
Call Number: AIT Caps. Proj. no.ME-16-03 Material type:
SeriesSeries: Asian Institute of Technology. Caps. Proj ; no. ME-16-03Publication details: Pathum Thani : Asian Institute of Technology, 2016Description: 30 leaves : ill. (some col.) + 1 online resourceSubject(s): Online resources: Dissertation note: Capstone Project (B.Sc.)-Asian Institute of Technology, 2016 Summary: This research is carried out in order to provide an automated quality solution to inspect processed chicken pieces at real time. The machine also consists of an mechanism to flip the part in order to inspect the both sides of the chicken pieces and an algorithm to analysing its color, shape and size. The whole mechanism is carried out using 2ArduinoMega3 microprocessor board two USB cameras and the PC. Color based image tracking was used in the process, while the methods of shape context, contour analysis and color segmentation was used to inspect the shape, size and color of the chicken piece respectively. For the mechanical system two conveyor belts were used with a rotating gripper to flip the chicken piece. Results shows that the over roll error of inspecting chicken pieces and delivering results were not exceeded 18%.
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Asian Institute of Technology Library Archives | AIT Caps. Proj. no.ME-16-03 (Browse shelf(Opens below)) | 1 | Available | 30050120883805 | |||||||||||||
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Asian Institute of Technology Library Archives | AIT Caps. Proj. no.ME-16-03 (Browse shelf(Opens below)) | Available | |||||||||||||||
20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT Caps. Proj. no.ME-16-03 (Browse shelf(Opens below)) | 1 | Available | 30050121015548 |
A capstone project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Mechatronics Engineering, School of Engineering and Technology
Capstone Project (B.Sc.)-Asian Institute of Technology, 2016
This research is carried out in order to provide an automated quality solution to inspect processed chicken pieces at real time. The machine also consists of an mechanism to flip the part in order to inspect the both sides of the chicken pieces and an algorithm to analysing its color, shape and size. The whole mechanism is carried out using 2ArduinoMega3 microprocessor board two USB cameras and the PC. Color based image tracking was used in the process, while the methods of shape context, contour analysis and color segmentation was used to inspect the shape, size and color of the chicken piece respectively. For the mechanical system two conveyor belts were used with a rotating gripper to flip the chicken piece. Results shows that the over roll error of inspecting chicken pieces and delivering results were not exceeded 18%.
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