Event-Driven Low-Power ROIC for Infrared Image Sensors
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CDSI
Keywords: event-driven, ROIC, Infrared, low-power
Abstract: The PhD candidate will be in charge of developing a new IR image sensor circuit based on a microbolometer array and an on-chip integrated circuitry able to sparsely sample and process the image.
The proposed approach will exploit event-based pixels (TFS), which will be associated to a digital block for implementing dynamic sensing capabilities (DVS). Moreover, a dedicated asynchronous strategy will be implemented to avoid arbiter usage and/or pixel firing verification. Such an approach will simplify the ROIC (ReadOut Integrated Circuit) architecture, while reducing the sensor throughput and compressing the data. Such an architecture will help targeting low-power sensing operations.
The objectives of the PhD is to develop an event-driven infrared image sensor and to design a dedicated readout circuit. Moreover, the study will take into account the specificity of infrared sensing with microbolomoters: SNR, Pulse width for reading values, image redundancy cancelation, and on-IC calibration … The final goal is to design a first prototype of a new infrared image sensor class.
The proposed approach will exploit event-based pixels (TFS), which will be associated to a digital block for implementing dynamic sensing capabilities (DVS). Moreover, a dedicated asynchronous strategy will be implemented to avoid arbiter usage and/or pixel firing verification. Such an approach will simplify the ROIC (ReadOut Integrated Circuit) architecture, while reducing the sensor throughput and compressing the data. Such an architecture will help targeting low-power sensing operations.
The objectives of the PhD is to develop an event-driven infrared image sensor and to design a dedicated readout circuit. Moreover, the study will take into account the specificity of infrared sensing with microbolomoters: SNR, Pulse width for reading values, image redundancy cancelation, and on-IC calibration … The final goal is to design a first prototype of a new infrared image sensor class.
Informations
Thesis director: Laurent FESQUET (TIMA - CDSI)
Thesis supervisor: Philippe ECREMENT (Orioma)
Thesis started on: July 2024
Doctoral school: EEATS
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