Distance Mapping Based Technology

Project: DISTANCE MAPPING BASED TECHNOLOGY

Before autonomous system can work 100% like the human eye or more, they will have to use DISTANCE MAPPING, a process of assigning distance ( micro distance and nano distance) to every part and points in an environment or to human face in case of facial recognition.

Mapping the environment with using imaging that use distance as factor behind it will give better picture and understanding which can be responded to by autonomous device (autonomous technology and mobile devices etc.). That will make them more smarter aided device to users and to facial recognition devices.
Distance Mapping that is based on specific point in relation to time will bring about accuracy of picture of a real life form in the right sense.
We humans don't just see things, understand them and respond to them. We see things based on distance mapping which has to do with specific point in relation to time and respond to them in comparison to memorized past and the conclusion is made which result to the next action.
By Distance Mapping, I do not mean the use of laser, infrared or and ultrasound which have some limitations. They are good at detecting objects and their distances but they lack the characteristics of the human eye.

By caring out Distance mapping of the environment that is based not on miles, kilometers, or (and) meters which I refers to as the UNBALANCED METERS but in millimeter, micrometers and nanometers which I referee to as BALANCED METERS.

Carrying out Distance mapping using balanced meters, a better picture of the environment can be created and since it is the use of distance mapping by autonomous systems in navigation, robotics or facial recognition or in identification etc, proper response can be made.

By applying the technology into phones, it going to make phones more smarter and users to build better interactions with their environment.
Because distance mapping create replical picture of the environment and in 3D imaging which will allow robotic and autonomous systems, survilance systems, interact uniquely with their environment.
Seeing the environment and interacting with it and predicting circumstances in the environment will be one of the unique features of the technology.
This techniques will be able to recognise objects and tell if they are smaller or bigger because distance mapping is a unique way of getting accuracy of an object in real life form.

Distance mapping have the following CHARACTERISTICS as the human eye as followed;
- Ability to differentiate distance from itself.
- Ability to differentiate distance between two or more objects.
- Ability to determine height, size and shape etc of objects.
- Ability to differentiate horizontal from vertical positions.
- Ability to tell if an object is moving or not moving.
- Ability to see and picture the environment in 3D imaging.

Because the technique will possess the following characteristics, it is therefore able to predict the state of an object in relation to time.
To predict moving object, its able to know the distance of the object at a present state in relation to time.
Ability to predict the state of objects enable it to calculate and determine it next move. In so doing, autonomous vehicles for instance will be able to overtake other moving vehicles on the road and avoid collision with other vehicles, and pedestrians.

Predicability will help the robotic system to avoid obstacles.
We humans don't just see things and detect them, we see things, predict them and avoid obstacles a feature the device will do.
When an autonomous system is able to predict, it will be able to react quickly to any hazards at a good distance.

Applications include autonomous systems, mobile technology to make phones more smarter, medicine for accurate autonomous surgical operations and surveillance system etc.

Presently, we are looking for partners to fund this revolutionary technology.