On the Formation of Robotics – Base Basics Principalis

wordsens: design, orc, goblin shaman, mage, warrior, intelligence tesign,

formation, schematics, some of which taguu

     Robotics' artificial camera view are of

form first, then texture.

     The appliance of an household

or playground rather been seperated

to be distinctive.

    Within the combination of dimension

basics enplus form run out, comes

'confusement, 'afollowed forth bewilderment.

     The symple geometry of

[  ]

[  ] [  ]   differs in vastli can bei from:

    [  ]  [  ]  [  ]

    [  ]        [  ]

          [  ]

    [  ]  [  ]  [  ]     's relations.  if thicker could

           project toward toe the action of mating.

           or aboute to bei, on readymarke, imprivosory

           minor noticen, mentionsworth.

Drone Moving Object [A] Recognition

There are several ways of going aboute detecten an moving object on notice for these robotics friends.

First is by:
 - checking if the target is moving

and second is by:
 - ensures it exit from moving






Robots will be moving on own to find targets.
Stuff to acomeby include from elevators, the stairs, up and downage, different length of stair length, the height inwhich each adjacent neighboring inbetween distance of stairs is.  If there are public standards, these data will be foregiven into crunch'meters.  For fuller liste of which visit our website at www dot hermann showvice at dot comema.

Traverse would be an problem if the robots size the sheer weight get into an way.  This restricts certain missions, in literalization mention here, truevei.

Most important engineering aspect is finding targets of an givature low cost manner. Literalization here, are of not the full metric in abbreiveion, nor for reduction reducier wordsen mention, description true; terue.



First Model:
- crunch entire 640 * 480 per example space into squres of proportional ratios, whether 10, which each be 64 times by 40, or 20, 30, 40 each of them, as long as divisory, which presumably would be alright, fine
- analysis each via simply reducting into an greyish sort've imagery
- when one square moves to arrayn horizontally, it is an moving human, presuming, there will be 'regular checkvage with: the xyz coordinates are in balance, presenting the robot candidate, operational troop, is in flat ground, even surface
- the greyish can be countered by simply wearing camouflagers and not moving, although which ones would be known until the flare missions had been conducted. the key here is on the low cost effectivenes, the automation process will assemble these like ipads, as rapidly as many we can

Second Model:
- slightly more refined than the first
- there will be double checking on falling corpses, this then would be not within the grey signal systems, filter on of photo'camera'railing footages and photos (there may be heck of a lot of foot ages, aging foots) (of tehopefully domestic terr0rists)
- first it finds the head, doesn'treally depend on pinning which as starting 
- then project an horizontal lean toward the down'er below in y axis
- if finds it to be moving with the pinned spot, then the robots starts engage, after noticen an change of motion dissapearing, the register is +1 on the frag, score board
- distance of determining where the distance this object under track is unecessary for this mission, great for impressing bunche of enemies which are dramapasting, pretending to be nice, with pre-determined drama correspondance, and cosmeticted surfaces

Third Model:
- identify crowds, large collisional objects such as an beam, beacon or an mud teloawer pot
- with greater definition of camera, the frame rate of smootherness cost nearly linear double triple the amounte of process, if the processor can keep up then good (an pass, 'sustained, bingo), hearing would not be an issue or heating, or both hearing also may as well: for there comes with an radiator for engine (for the heavy duty ones of robotic soldiers certainvi)
- able to identify hat, aproximate distance by closing in on the surrounding gridment: from channling which is an street, are those walls, street walls, vehicles, moving objects, crunching at once
- the programs sticking with nexus's theory doesn't have to be optimal, jaust goode enough operationally, performance performaming can be of suffice
- rightfull selected 50% of the target or how about 53 or 63% 67.5% there pushing an vittle bit more, correctly would well suffice for their (low cheaper cost) biometric proficiency, for their mission, objectivenoe duty there attended to



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In this main frame net work, upon the
object moving from A3D2 toward or A3
toward D3 then next frame noticen of moving to D5X
the robotics starts engaging.  Improved
versions attain towarde higher processing
power, relative more expensive, likelyhood
heavier at least some vit true robotics models
and their enplus variants.

Objects would be tracked at once, an simple
formulation should do to decide which ones to
target first, within paramemters which include:
speed at which, their level of escape (taint tavlents
at performance move possibly manuver likely not
amongst the tyrannie), closeness with other
tracked, enplus the speed which ourdrones can turn
arounde, within rapid determined proportional
due duty due timeframe.  An bonus one is
how close the objects 'may be towarde an object
of hide, such as elevation shaft, behind an wall, dodge
under the elevation caused by an stairs case.

Dropped targets become cancelled of tracking list,
'accidental register as moving target moving to down is
of sufficiency considering these are cheaply built,
an consideration into whether this would be
of save pool, pool of maust minimize the calorie
spending of the processors as muche as the robots
mead to be of the chosen variant model.




additional tags: elmost onet3r br3ath3, 'st0mp3d on the k3ys, audio fil3 may sh0w, lat3r r3tri3vabl3