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Object Location System

IP.com Disclosure Number: IPCOM000248963D
Publication Date: 2017-Jan-24
Document File: 3 page(s) / 262K

Publishing Venue

The IP.com Prior Art Database

Abstract

Locating objects using smartphone technologies.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 34% of the total text.

Object Location System

This idea is written up mostly with the problem domain of finding a golf ball but the idea can equally apply to finding any object of known shape.

There are a huge number of techniques recorded to assist in finding golf balls but none has become 'mainstream'.

There are technologies that use modified balls (generally against the rules) and for 'standard' balls including image processing, thermal imaging, ultrasound, LIDAR, tinted glasses and so on and also the idea of augmented reality too. For example: http://www.google.co.uk/patents/WO2013101630A1?cl=en

The technology can assist those with challenged eyesight to find known 'standard' objects in everyday situations such as TV remotes and so on.

Fortunately, there is newly available technology that gives the ability to build a tool that can really help.

The time is coming when mobile phones will routinely have multiple aperture cameras. One of the things these can do is to add a 'Z' distance to photographic pixels. When such a system is fitted to, for example, a smartphone, this can be used to detect,

for example, spherical surfaces that have the correct radius to be a golf ball. Older image processing systems have been described to detect golf balls (by

recognizing white circles in an image) but we can now effectively detect a surface that is occluded by grass and so on so that its outline is in no way circular and shaded or illuminated with such tinted 'green' light that its colour is not obviously white. Even a small part of the surface can be easily detected by a computer (mobile phone) to be the surface of a sphere and the radius of the sphere can be determined to be within the range of manufactured golf balls. Additionally we propose a software feature very similar to that seen when taking panoramic mode photographs (but operating up-and-down as well as side-to-side) to help the user cover the whole of the ground area effectively.

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This is the standard panorama software in a smartphone operating vertically - we propose an idea that operates this in 2D and which is orientated to ground coverage.

Additionally, if desired, the idea will allow the user to cover the ground again, pointing the camera at more oblique angle ranges, using the 'spirit level' function in the phone to assist the user in tracking the angle the ground is observed from.

We offer feedback to the user with directional arrows instructing them to pan their phone's camera to the left, right, up, or down and 'augment' the image seen on the phone, alerting and highlighting any surfaces that conform to the 3D shape of the surface of, in this example, a golf ball.

For such an object with a known radius and with between exactly 330 to 500 'dimples' per sphere - it is trivial to 'smooth' the surface (x,y,z) datapoints so that any such sphere will appear perfectly smooth.

We propose that as well as being able to search for a predefined 3D object's surface (such as a golf ball) it will also be possible to in...