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Image Object Recognition Extraction, AI Automatic General RealTime, Deep Learn,Neural Net,TensorF V4



pearlnaturalvision

Pearl Natural Vision (Ver 4.2) – innovative natural, general, multiple, real-time, content-aware 2-3D human-like bio/brain inspired humanoid robot VISION technology, one that can “see” like humans.
Might be interesting for people using Matlab, GIMP, OpenCV, Photoshop, etc.
Related: Automatic & Accurate Extract Extraction, artificial intelligence (AI), deep neural-networks (DNN), multilayer, convolution, computer vision, big data, deep learning, machine learning, generic, autonomous, visual perception, patterns, recognition, detection, saliency, background removal, crowd/complex env’t, invariant, image processing, segmentation, augmented reality, etc.
Also related: psychology, evolution, genetics, adaptation, the Human Brain.

Self made,
Only software,
Written in C++.
Not using any vision libraries.

Highlights:

1) An integration/fusion of Modern Physics, DNN, Neuroscience, Perception, etc., into a Unified, Coherent, General, Accurate and Real Time Bio-like Visual Perception Model.

2) No keys, no params, no settings and no specific visual knowledge, of any kind, are used.

In learning, the results of this visual perception activity (objects/entities/etc…) are placed in the Visual Memory (also a DNN).
After learning phase… naturally the system power multiplies…

Applications:
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Robotic humanoid & android vision, smart toys, drones, autonomous driving, guidance, tracking, inspection, face detection, collision prevention, assistance and warning systems, security systems, surveillance, satellite imagery, medical systems, etc.

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Email: pearlnaturalvision@gmail.com
Facebook: pearlnaturalvision

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3 thoughts on “Image Object Recognition Extraction, AI Automatic General RealTime, Deep Learn,Neural Net,TensorF V4
  1. Very very intuitive and cool! can i feed it a batch of images for automatic object extraction and will it do it? say a 1000 pictures, will it recognize pictures that have cats in them?

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