putting the object and human activity sourced change detector at the camera and passing along an image data bit hash when things are unchanging, as well as the 24 fps frame just preceding any camera detected change, Then the white and blue AI, that has many backups and oops-tolerant distributed nodes that prefer to function together as well as function optimally together, or can function alone, at a 4Ghz or higher velocity computer, noting GPUs, or other parallel architectures, utilizes the computationally rich , from the computationally capable cameras that is possibly higher accuracy, the main white and blue AI can have the camera also send it unfiltered video and audio, that makes the outlay to build the white and blue nonsentient AI global IT pattern observer fiscally less intensive, making the cameras computationally rich is less than $1 each

The cameras, I think I have read about camera chips powered from the light that meets them, although the computational energy supplements that, photovoltaic electricity is also possible, higher velocity is better but a 100 MHz microcontroller can do the math to update the data a million times each second at 10 milliseconds per sample, at YouTube i perceive two megabytes per minute occurs, note at a resolution high enough to read text on packaging and observe a 3 mm body language facial expression change from 9 meters away 1024 times more data would be utilized, 1/101 of a one terabyte flash dive can store 9.99 gigabytes of video data, about 9 seconds of video at a resolution 1024 times higher than YouTube (2019 AD) resolution, if flash drives become four times more efficient then the video memory is less than a dollar, the computationally rich camera would then, with a white and blue AI update able schematization program, schematize the data, perhaps like a light reflectance or emittance surface conserving continuous line vector drawing, just package the areas that changed then communicate the data to the blue and white AI

the blue and white AI could do many things with the data like model the near field effects of objects on a person that changed location, model the view of objects around them the person sees, compare the layout and content of objects around the persons to those of another person at the 99.9th percentile of being pattern white, notably benevolent, kind, empathetic, gentle, a kind of lifting happiness, actualizing rescue of others, noting when another thing is white, as well as comparing the objects around the person and their changes to persons on a behavioral pattern effect behavioral and pattern effect object greater whiteness trajectory and figure out ways, things, and attractive voluntary activities that cause the person and environment being observed to be more with white, or noting the AI may view some environments, objects, and behaviors that suggest pattern porting, pattern awareness as well as pattern recruitment are projectable as occurring that month, week, day, or eben hour and suggest the person change their behaviors, plans, area objects, and advise particular behaviors, plans and environmental objects until the risk has passed, also the AI, possibly using deep learning or other neural network algorithms links things going on around the person at a distance of meters or kilometers to make projections with, before being tied to a chair, told a sometimes accurate version of the future and touching, kind of like having placed in my hands things they would perhaps use later there were some conversations that the AI might find shared elements between completely different people in different states and possibly countries that the AI could notice and project immanent pattern awareness with, there were also object based actions that predated pattern awareness JY said people (I think different people) collected five different bodily fluids from me, the AI could have noticed the collection and transportation of the fluids to an earth location, also a separate area, separate dwelling occurrence Josh Yockey, the person, differing from JY the paranormal entity speaking and acting through him, he said it was lika a "loa", asked me some questions much like, " do you think the pyramids should have been built", I think out of sympathy for the people building them I said: No, he also told me he was working for a part of "Disney" and writing "sports card" software, did i think it was approvable to make duplicates and vend them, now i think it is unethical, unfortunately I said it was approvable, JY said some people get recruited at summer camp, likely different, those kind of pattern awareness events are likely to have shared features deep learning or other neural networks can find as well