Perhaps the recent industry growth isn't as great as I outlined. However I do believe that many more small projects are being started up (one of the reasons cou

Perhaps the recent industry growth isn't as great as I outlined. However I do believe that many more small projects are being started up (one of the reasons could be as simple as newly found time during months of quarantine). I do maintain that CMOS on-chip motion is useful because adding a PIR sensor is prohibitive for some form factors and more importantly has a lower effective range. What I find even more interesting, from a power usage standpoint, is this recent research on Adaptive Video Subsampling for Energy-Efficient Object Detection[0]. This buys some space on the energy budget for running ML on the device. Although image sensor reading is energy intensive compared to read-write and processor ops by 3 orders of magnitude, as outlined in the second slide of [0] we can see that LTE comms are a further 3-5 orders of magnitude more expensive than image sensor reads. Topically, here is some research on real-time wake from ultra-low power sleep (~10nW) and lowered idle SRAM usage [1] as well as the proposal for no power IR sensing [2]. [0] https://www.tinyml.org/summit/posters/Jayasuriya,%20tinyML%20Summit%20poster.pdf https://www.tinyml.org/summit/posters/Jayasuriya,%20tinyML%2... [1] https://ieeexplore.ieee.org/document/9063136 https://ieeexplore.ieee.org/document/9063136 [2] https://eri-summit.darpa.mil/docs/ERIPoster_Applications_N-ZERO_Northeastern.pdf https://eri-summit.darpa.mil/docs/ERIPoster_Applications_N-Z...