P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications. (arXiv:2203.04737v1 [cs.LG])

The demand to process vast amounts of data generated from state-of-the-art
high resolution cameras has motivated novel energy-efficient on-device AI
solutions. Visual data in such cameras are usually captured in the form of
analog voltages by a sensor pixel array, and then converted to the digital
domain for subsequent AI processing using analog-to-digital converters (ADC).
Recent research has tried to take advantage of massively parallel low-power
analog/digital computing in the form of near- and in-sensor processing, in
which the AI …

applications arxiv memory pixel processing tinyml