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Smart Event-Based Image Sensor for wake-up applications

Event, Sensor, Applications, Dynamic, Vision, Asynchronous

The PhD will develop a wake-up image sensor based on event-based techniques that will be able to quickly detect luminance variations and or recognize patterns. The system will exploit event-based image sensor technology, which has been developed at the TIMA laboratory, and will embed  light computational resources in this smart image sensor. This work will be done in cooperation with the CEA, which has already experience in wake-image sensors.


Thesis director: Laurent FESQUET
Thesis supervisor: Gilles SICARD (CEA)
Thesis started on: Jan. 2019
Thesis defence: 19/06/2023
Doctoral school: EEATS

Submitted on January 12, 2022

Updated on May 5, 2023