Abstract:
This thesis is intended to describe the design and fabrication of a solution for Automated
Quality Control of the Biscuits through Computer Vision. The project is aimed at providing
an optimized solution for the quality control of biscuits which can be deployed at local
industries in order to automate the process. The goal was to design, fabricate, test, and
validate a working prototype of the solution.
Our target was to provide a well-integrated automated solution for the industries in order
to localize this technology, to reduce human interaction in the production line and to ensure
hygiene of the eatables. We also aim to reduce the labour cost and make the process cost
effective. Its scope can be expanded to industries where quality is currently ensured via
human vision.
To materialize a machine with such capabilities, we had to work in parallel to take right
decisions regarding the hardware involved, and the software algorithm driving it. The
complete setup should be able to differentiate between standard and sub-standard biscuits
along with a responsive actuation mechanism driven by microprocessors.
Two prototypes were developed to achieve the set objective for the project. The first
prototype V1 was to be developed as a proof of concept, and the insights gained from the
first attempt assisted us in fabricating a much efficient, practical, and robust final prototype
V2.
The objectives were successfully achieved with some minor shortcoming in the final
prototype. Further work can be done on it to improve the colour resolution, robustness, and
serviceability. Machine learning can also be introduced in the algorithm for enhanced
capabilities.
