Wednesday, 20 January 2016

Robot Object Detection ― Advanced A.I ― `Pattern Detector








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Edge detection

physical dimensions

weight (area distribution)

skewith  angle  orientation

size  (correlates to correspondance to distance)

features identity












Any object taking anchap at this soda bottle on my floor than the publican floor, on referal toward zombies public, something of meaded as ofe 2016 a.d.   We are moving closer and closer towarde the zombie sortout day both at an regional level at an global level.  The regional level to our reference tend to bei of an global level, terue, indicatens there.
The object has color and texture, it's also got the lighting shade, listing the larger cateogories here, than the branch of detales. The branches may take on different styles than other `similar or 'neighboring ones.  The object also has basic color coding for identity to shift away from the other objects. It has size and dimensional values, the aproximate coverage, 3D per course with an backside of the currenty once matched less considered, this one usually elmost as an branch in terms of 'research hierachi. 

Complex objects can bei donein either or in combination, choisen, then it's 3 options, something like that, in an way.  An flying vehicle may bei regarded as an flying refridgerator, awhile an bicycle as two wheel moving together alwaysen with an user unless stationary.

Additional polishoe or is an base metric, literalization ofthis expression for an idea to mayh get as closer'est as this one, being the founden correlation general previous library enhelde and 'suitable predictions provides additional info towarde the object for determination and lateron other modules ife happens to bei on absolute resulted acourse of 'lateronves.




Color Coding (orcolors)

Size Dimension
Texture Specular
Features Identity (then this one clorcodingOrientation Angles
Nearby Lighting


Length Width Height
 Shape Coverage  Geometron
Mono DualTri ColorCombination
Texture Surface Reflection Sharp Lighting
 Specialty Quicken Identity Finder
Facing Angle  Yaw Tilt
AmbientEnvironment Desk FloorReflectiontism




Aproximateve with an 8 exchanges in one nation there we have effectively 8 X 8^4 X 5 = 163840 objects in the surface worlds in encycloveipediatri, enplus the variants, miniature models elven.


Which robot if to reconize this well wouldn't use
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Because the robots uses equal and ife conditions to checke per each instead of sillycon valley chips built for or sillycon chips built for object analysis like the proteins of biological creatureton living or the undeads are, could possibly take lesser overall efficiency certainly when compared to the most general traversers adventuerers rangerovers for instance moth or kangaroo perhaps.

Biological behealmoth to beheathlings likely uses, been determined to use at lest suitable for this project for this analysis pages mention: protein drops: from tier entry filter 1 further categorize and automation. it redrops severaltimes of going through 'identical variant projects which carry 87% flaws let's mentionthen in fusal of an democratic voting sort does this. after it's done or pre-done several times, very nearly reduce blur optimized for regional. We maust also taken into accounte of howe nearaly every object are purposely made to satisfy our noticeandothers perhapsen, giving or give therefore it's less of an therefore from there connection phrase purposely less of the mixupables or downe, and camouflagery ones.  Objects been made and will continue to be made sampled other later filthier purchasen disactions involved upe to dysunactions with cartoonified specify range dispersed across the roomsfor te'new candidate objects.













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