Domain : Deep Learning - Convolutional Neural Network
Instruction Rules:
IR0: Suppose, 5 friends are sharing same kitchen. There is a baking tray on the oven. All the biscuits are put on this tray.
IR1: There is camera located at the top of oven which is continuously checking the tray.
IR2: The biscuits are in different shapes seen on the image.
IR3: Camera is responsible to check and report the following information to every one’s mobile application [Mobile part should be!!!];
Total number of biscuits
Number of biscuits of each different shape.
Number of cocoa type of each different shape
IR4: You are responsible for building and using Machine Learning Models: DNN (Deep Neural Net) and CNN (Convolutional Neural Net). Both Models are used for confirming the results.
IR5: DNN and CNN designs are under your responsibility. No restriction is defined. (i.e. You can use DNN with 3 layers, 8 output neuron. Each layer has 128 neurons etc.)
IR6: You should consider and discuss the following concepts related with your design;
Materials:
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M0: The biscuits -bought from grossary store-
M1: One baking tray
M2: One camera –you can use your mobile phone for taking sample pictures for simulating continuous framing-
M3: Your code should be written in Python. You are expecting to use the libararies: OpenCV (for image processing), Tensorflow / keras / sklearn (for Machine Learning models).
M4: Write a report in paper format (not your code included in)
Example paper sends later
M5: Supplementary research papers help and support you on your work
Example paper sends later
Hello,
I am a data scientist, specialized in AI and machine learning, with a long experience with neural networks.
Refer back if you want a real professional AI solution.
Best Regards.
I have strong 20 years of exp. in algorithm development fro digital signal processing, digital image processing, pattern
recognition, data mining, text summarization using MATLAB/Python/C/C++. Pl. share your detailed requirement for better understanding of the project work.