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Analog Neural Network Hardware For Colour Classification Abdullah VURAL September 07, 2006 Prof. Dr.-Ing. Andreas König.

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Presentation on theme: "Analog Neural Network Hardware For Colour Classification Abdullah VURAL September 07, 2006 Prof. Dr.-Ing. Andreas König."— Presentation transcript:

1 Analog Neural Network Hardware For Colour Classification Abdullah VURAL September 07, 2006 Prof. Dr.-Ing. Andreas König

2 Analog Neural Network Hardware For Colour Classification An Overview to ANN Objective and Our Case Different Design Techniques Neurokit Workflow and Network Configuration Implementation Phase Assessment

3 Overview Artificial Neural Networks(ANN) Signal Processing Control Systems(intelligent control sys.) Industrial Automation(robot) Adaptive Channel Equalization

4 Analog Neural Network Hardware For Colour Classification An Overview to ANN Objective and Our Case Different Design Techniques Neurokit Workflow and Network Configuration Implementation Phase Assessment

5 Objective : Pill Detection True Colour Sensor Silimann Trainer Software Evaluation Board

6 Our Case Is PILL present or absent?

7 Analog Neural Network Hardware For Colour Classification An Overview to ANN Objective and Our Case Different Design Techniques Neurokit Workflow and Network Configuration Implementation Phase Assessment

8 Techniques(1) Conventional algorithm/model based design flow

9 Techniques(2) Neural network based design flow Is PILL present or absent?

10 Analog Neural Network Hardware For Colour Classification An Overview to ANN Objective and Our Case Different Design Techniques Neurokit Workflow and Network Configuration Implementation Phase Assessment

11 Neurokit Workflow Board Test Sample Patterns Perform New Training Run Task Manager Run Pattern Test SILIMANN TRAINER SoftwareSilimann LSI

12 Network Configuration Input neuronsHidden neuronsOutput neurons INPUTS OUTPUTS

13 Analog Neural Network Hardware For Colour Classification An Overview to ANN Objective and Our Case Different Design Techniques Neurokit Workflow and Network Configuration Implementation Phase Assessment

14 Implementation Phase (Pictures)

15 Implementation Phase (Insufficiency) Light Effect Insufficient Tools Sampling Errors

16 Implementation Phase (What we learned) Analog Neural Network Hardware(LSI) ANN Design Flow Evalution Board and Accessories Technical Real World Imlementations (e.g. Signal Processing, Industrial Automation, Control Systems, Channel Equalization)

17 Analog Neural Network Hardware For Colour Classification An Overview to ANN Objective and Our Case Different Design Techniques Neurokit Workflow and Network Configuration Implementation Phase Assessment

18


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