US 12,293,396 B2
Method, apparatus and computer program product for selecting a kit of parts that traverse an incline
Robert Horton, Newport (GB); Lee Prior, Southsea (GB); and Nathan Gaskin, Southsea (GB)
Assigned to ISLAND MOBILITY LTD, Island of Wight (GB)
Appl. No. 17/783,821
Filed by ISLAND MOBILITY LTD, Isle of Wight (GB)
PCT Filed Dec. 11, 2020, PCT No. PCT/GB2020/053188
§ 371(c)(1), (2) Date Jun. 9, 2022,
PCT Pub. No. WO2021/144549, PCT Pub. Date Jul. 22, 2021.
Claims priority of application No. 2000677 (GB), filed on Jan. 16, 2020; and application No. 2006601 (GB), filed on May 5, 2020.
Prior Publication US 2023/0039940 A1, Feb. 9, 2023
Int. Cl. G06Q 30/06 (2023.01); B66B 9/08 (2006.01); G06Q 30/0601 (2023.01); G06T 19/00 (2011.01)
CPC G06Q 30/0627 (2013.01) [B66B 9/08 (2013.01); G06Q 30/0633 (2013.01); G06T 19/006 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of selecting a plurality of components as a kit of parts that traverse an incline, the method comprising:
acquiring, by a computing device, measurement information indicative of one or more physical dimensions of the incline;
generating, by the computing device, a model of the incline in accordance with the measurement information, the model of the incline comprising a three-dimensional digital representation of the incline;
rendering, by the computing device, a user interface comprising the model of the incline on a display device of the computing device;
adjusting, by the computing device, one or more parameters of the model based at least in part on user interactions with the model on the display device, the one or more parameters comprising a height, a width, or a depth of at least one step of the incline;
overlaying, by the computing device, the adjusted model of the incline upon an image of the incline;
determining, by the computing device, an amount of offset between the overlaid model of the incline and the image of the incline;
fine tuning the overlaid model by randomly fluctuating, by the computing device, the one or more parameters of the overlaid model, wherein the fine tuning reduces the amount of the offset between the image of the incline and the overlaid model and the fine tuning determines an optimal fit between the image of the incline and the overlaid model;
confirming the overlaid model represents an accurate representation of the incline based on the fine tuning of the overlaid model, wherein confirming the overlaid model comprises confirming the amount of the offset is below a predefined threshold; and
selecting, by the computing device, on a basis of the confirmed model, a plurality of components, from a predetermined set of components, as a kit of parts for traversing the incline.