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Evaluating An Ultra low Power Vision Node - Revision history
2024-03-28T22:36:23Z
Revision history for this page on the wiki
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Scheremo at 13:16, 4 August 2022
2022-08-04T13:16:53Z
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Scheremo
http://iis-projects.ee.ethz.ch/index.php?title=Evaluating_An_Ultra_low_Power_Vision_Node&diff=6444&oldid=prev
Scheremo at 06:49, 17 February 2021
2021-02-17T06:49:44Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 06:49, 17 February 2021</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Supervision: [[:User:Scheremo | Moritz Scherer]] [mailto:scheremo@iis.ee.ethz.ch scheremo@iis.ee.ethz.ch], [[:User:Adimauro | Alfio Di Mauro]] [mailto:adimauro@iis.ee.ethz.ch adimauro@iis.ee.ethz.ch]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Supervision: [[:User:Scheremo | Moritz Scherer]] [mailto:scheremo@iis.ee.ethz.ch scheremo@iis<ins class="diffchange diffchange-inline">.ee.ethz.ch], [[:User:Magnom | Michele Magno]] [mailto:magnom@pbl.ee.ethz.ch magnom@pbl</ins>.ee.ethz.ch], [[:User:Adimauro | Alfio Di Mauro]] [mailto:adimauro@iis.ee.ethz.ch adimauro@iis.ee.ethz.ch]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
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Scheremo
http://iis-projects.ee.ethz.ch/index.php?title=Evaluating_An_Ultra_low_Power_Vision_Node&diff=6161&oldid=prev
Scheremo at 07:02, 24 November 2020
2020-11-24T07:02:50Z
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<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Supervision: [[:User:Scheremo | Moritz Scherer]] [mailto:scheremo@iis.ee.ethz.ch scheremo@iis.ee.ethz.ch]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Supervision: [[:User:Scheremo | Moritz Scherer]] [mailto:scheremo@iis.ee.ethz.ch scheremo<ins class="diffchange diffchange-inline">@iis.ee.ethz.ch], [[:User:Adimauro | Alfio Di Mauro]] [mailto:adimauro@iis.ee.ethz.ch adimauro</ins>@iis.ee.ethz.ch]</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Meetings & Presentations==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==Meetings & Presentations==</div></td></tr>
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Scheremo
http://iis-projects.ee.ethz.ch/index.php?title=Evaluating_An_Ultra_low_Power_Vision_Node&diff=6159&oldid=prev
Scheremo: Created page with "==Introduction== With the on-going surge of interest in bringing machine learning to wearables and the edge of computing devices, novel solutions to reducing the energy consum..."
2020-11-24T06:57:28Z
<p>Created page with "==Introduction== With the on-going surge of interest in bringing machine learning to wearables and the edge of computing devices, novel solutions to reducing the energy consum..."</p>
<p><b>New page</b></p><div>==Introduction==<br />
With the on-going surge of interest in bringing machine learning to wearables and the edge of computing devices, novel solutions to reducing the energy consumption of such devices on the system-level are required. One of the key ideas in event-driven computing is the reduction of power consumption by only triggering computations when events occur and entering an idle mode when there are no events. This can be used in the context of machine learning to only trigger network inference when events are registered.<br />
Qualcommm has presented an ultra-low power vision platform at TinyML 2019 ([https://www.youtube.com/watch?v=YHe4fgwkj4U Youtube Video]), which we have been able to get our hands on.<br />
==Project description==<br />
In this project, a novel event-driven camera by Qualcomm will be evaluated and charaterized using their development kit, including an ARM Cortex-M Series microcontroller. After initial efforts to measure power consumption, latency and assuring functionality of the sensor platform and depending on the students interests, a neural network for object detection can be trained and deployed to the platform. A full demo, including a smart wake-up trigger to minimize power consumption can be targeted.<br />
<br />
The student is required to:<br />
<br />
# Read up on documentation provided by Qualcomm<br />
# Measure the key parameters of the sensor platform<br />
# Prepare a demo of the camera's working principle<br />
<br />
Depending on the progress, the following points may be investigated:<br />
<br />
# Implementation of a Bluetooth interface <br />
# Training and deployment of an energy-proportional CNN onto the Cortex-M device<br />
<br />
===Required Skills===<br />
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* Basic knowledge of the C language and embedded system programming<br />
<br />
Skills you might find useful:<br />
<br />
* Machine learning with Python<br />
<br />
* Neural network deployment on embedded devices (Machine Learning on Microcontrollers)<br />
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* Previous experience with the Bluetooth 5 LE stack<br />
<br />
===Professor===<br />
: [https://www.ee.ethz.ch/the-department/people-a-z/person-detail.html?persid=194234 Luca Benini]<br />
<br />
===== Status: Available ===== <br />
Possible to complete as a Master, Semester or Bachelor Thesis<br />
<br />
Supervision: [[:User:Scheremo | Moritz Scherer]] [mailto:scheremo@iis.ee.ethz.ch scheremo@iis.ee.ethz.ch]<br />
<br />
==Meetings & Presentations==<br />
<br />
The students and advisor(s) agree on weekly meetings to discuss all relevant decisions and decide on how to proceed. Of course, additional meetings can be organized to address urgent issues.<br />
At the end of the project, you have to present/defend your work during a 15 min. presentation and 5 min. of discussion as part of the IIS colloquium.<br />
<br />
[[Category:Digital]] [[Category:Available]] [[Category:Semester Thesis]] [[Category:Master Thesis]] [[Category:Bachelor Thesis]] [[Category:Event-Driven Computing]] [[Category:Hot]]<br />
[[Category:Scheremo]]</div>
Scheremo