Biscuits Checking System

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;



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

Habilidades: Machine Learning (ML), Python, Deep Learning, Neural Networks, Mobile App Development

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Acerca do Empregador:
( 0 comentários ) Civril, Turkey

ID do Projeto: #25597994

1 freelancer está oferecendo em média $20 para esse trabalho


Hi there, I am expert in machine learning and computer vision and I can help you out. Feel free to inbox me now. Thank you.

$20 USD in 7 dias
(28 Comentários)