Adaptively Controlled Hysteresis Curve Tracer For Polymer Ultrasonic Transducers (1 S/B)
From iis-projects
Contents
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
Detailed Task Description
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
- Research of available ML accelerators and cameras
- Familiarization with ML accelerator
- Model quantization from tensorflow to tensorflow lite
- Deployment of the model on the accelerator and testing
- Build interfaces between IoT camera (2d video capture), the accelerator (prediction) and the sub-computer (display)
- Testing of the implemented pipeline on real data
Practical Details
