CamJ
At its core, CamJ simulates the noise and energy consumption of an CMOS Image Sensor (CIS) in seconds under a Frame Per Second (FPS) target. CamJ allow users to describe the CIS hardware, both the analog and digital components, and the (imaging, image processing, and computer vision) algorithm to be executed on the CIS using a declarative interface in Python. Under the surface, CamJ models the interplay across main structures of a computational CIS pipeline: pixel sensing → analog processing → digital processing. Thus, CamJ enables end-to-end modeling and optimization of the CIS architecture from photon ingestion to semantic results.
This project is under active development.
Cite Us
To know more about CamJ, please check out our paper and cite us:
@inproceedings{ma2023camj,
title={CamJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing},
author={Ma, Tianrui and Feng, Yu and Zhang, Xuan and Zhu, Yuhao},
booktitle={Proceedings of the 50th Annual International Symposium on Computer Architecture},
year={2023}
}