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Difference between revisions of "Adaptively Controlled Hysteresis Curve Tracer For Polymer Ultrasonic Transducers (1 S/B)"

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==Detailed Task Description==
 
==Detailed Task Description==
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This research aims to transfer an existing machine learning model and an accompanying post-processing algorithm to an ML accelerator, e.g., a Google Coral device. The accelerator will be paired with a portable IoT camera, and the algorithm's predictions will be sent via, e.g., an USB cable to a sub-computer. The model will be tested under lab conditions using data from walking or running subjects.
 
  
 
===Goals===
 
===Goals===
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* Research of available ML accelerators and cameras
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* Familiarization with ML accelerator
 
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* Model quantization from tensorflow to tensorflow lite
 
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* Deployment of the model on the accelerator and testing
 
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* Build interfaces between IoT camera (2d video capture), the accelerator (prediction) and the sub-computer (display)
 
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* Testing of the implemented pipeline on real data
 
  
 
===Practical Details===
 
===Practical Details===

Revision as of 00:11, 6 February 2023

PvdfTestbench.jpg



Short Description

Status: Available

Looking for 1-2 Semester/Bachelor students
Contact: Christoph Leitner, Marco Giordano (PBL)

Prerequisites

Analog Mixed Signal Design
PCB Design
Microcontrollers

Character

20% Literature research
40% PCB Design
30% Microcontroller programming
10% Testing

Professor

Luca Benini

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Detailed Task Description

Goals

Practical Details


Links

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