3D-stacked image sensor
Aidge is used as a software stack to program and deploy neural networks on J3DAI, an ultra-compact deep neural network accelerator embedded in a 3D-stacked CMOS image sensor for smart sensing applications. Thanks to its accelerator programming and post-training quantization capabilities, Aidge enables efficient inference directly on the sensor for tasks such as classification and segmentation, under strict energy, memory and silicon area constraints. The proposed architecture demonstrates significant hardware efficiency, achieving up to 3x fewer MAC units and 3x less silicon area compared with state-of-the-art designs, illustrating how Aidge supports the deployment of AI models on highly optimised embedded hardware.
Contributors : ST Microelectonics, IRT NanoElec and CEA
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