CTNF 18/922,577 CTNF 87721 Notice of Pre-AIA or AIA Status 07-03-aia AIA 15-10-aia The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Double Patenting 08-33 AIA The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the claims at issue are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); and In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on a nonstatutory double patenting ground provided the reference application or patent either is shown to be commonly owned with this application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The USPTO internet Web site contains terminal disclaimer forms which may be used. Please visit http://www.uspto.gov/forms/. The filing date of the application will determine what form should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to http://www.uspto.gov/patents/process/file/efs/guidance/eTD-info-I.jsp. Claims 1-5, 8-10, 12, 15-17 and 19 of the present application are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1, 4-5, 7-8, 11, 13-16, and 18-20, respectively, of the US Patent 12,148,209 . The following table shows in detail the correspondence between claim 1 of the present application and claim 1 of the above US Patent. The mappings for other claims are also shown, but in corresponding claim numbers only, for brevity purposes. Present Application Patent 12,148,209 1. A computer-implemented method for visualizing proposed changes to a home, the computer-implemented method comprising, via one or more processors, sensors, servers, and/or transceivers: receiving light detection and ranging (LIDAR) data generated from a LIDAR camera; measuring a plurality of dimensions of a room of the home based upon processor analysis of the LIDAR data; building a 3D model of the room based upon the measured plurality of dimensions; receiving object data comprising: (i) dimensional data of an object; (ii) a type of the object; and/or (iii) color data of the object; with a trained machine learning algorithm, generating a recommendation for placement of the object in the room based upon: (i) the measured plurality of dimensions, and (ii) the received object data; and displaying a representation of the 3D model including a representation of the recommendation for placement of the object. 1. A computer-implemented method for visualizing proposed changes to a home, the method comprising, via one or more processors, sensors, servers, and/or transceivers: receiving light detection and ranging (LIDAR) data generated from a LIDAR camera; measuring a plurality of dimensions of a room of the home based upon processor analysis of the LIDAR data; building a 3D model of the room based upon the measured plurality of dimensions; receiving an indication of a proposed change to the room, wherein the proposed change to the room comprises a remodel of a kitchen or bathroom; modifying the 3D model to include the proposed change to the room; receiving object data comprising: (i) dimensional data of an object; (ii) a type of the object; and/or (iii) color data of the object; with a trained machine learning algorithm, generating a recommendation for placement of the object in the room based upon: (i) the measured plurality of dimensions, and (ii) the received object data; and displaying a representation of the modified 3D model including a representation of the recommendation for placement of the object. 2 4 3 5 4 7 5 8 8 11 9 13 10 14 12 15 15 16 16 18 17 19 19 20 Allowable Subject Matter Claims 1-20 are allowable if the above double patenting rejection is overcome. The following is a statement of reasons for the indication of allowable subject matter: The prior art fails to teach or suggest a method and a system configured for visualizing proposed changes to a home by, via one or more processors, sensors, servers, and/or transceivers: (1) receiving light detection and ranging (LIDAR) data generated from a LIDAR camera; (2) measuring a plurality of dimensions of a room of the home based upon processor analysis of the LIDAR data; (3) building a 3D model of the room based upon the measured plurality of dimensions; (4) receiving object data comprising: (i) dimensional data of an object; (ii) a type of the object; and/or (iii) color data of the object; (5) with a trained machine learning algorithm, generating a recommendation for placement of the object in the room based upon: (i) the measured plurality of dimensions, and (ii) the received object data; and (6) displaying a representation of the 3D model including a representation of the recommendation for placement of the object. The closest prior art reference is US patent publication 2018/0075648 (“Pub. ‘648” hereinafter). Pub. ‘648 discloses a method and system for receiving light detection and ranging (LIDAR) data generated from a LIDAR camera; measuring a plurality of dimensions of a room based upon processor analysis of the LIDAR data; and building a 3D model of the room based upon the measured plurality of dimensions. However, Pub. ‘648 does not disclose using a trained machine learning algorithm to generate a recommendation for placement of an object in the room based upon the measured dimensions of the room, and the object’s data; and displaying a representation of the 3D model including a representation of the recommendation for placement of the object, wherein the object’s data comprises: (i) dimensional data of the object; (ii) a type of the object; and/or (iii) color data of the object. With respect to using a trained machine learning algorithm to generate a recommendation for placement of an object in a room, US patent publication 2020/0302681 (“Pub. ‘681” hereinafter) discloses a technique for virtual interaction with a three-dimensional (3D) indoor room wherein machine learning algorithms can automatically recommend and/or automatically position recommended objects in the room. The machine learning algorithms may include: neural networks (e.g., DNN, CNN, RNN, etc.), Bayesian networks, clustering models, collaborative filtering, regressions, decision trees, and/or any other suitable algorithm (See par. 110). However, Pub. ‘681 does not disclose that the automatic positioning of recommended objects is based on measured dimensions of the room and data related to the objects, wherein the data comprises: (i) dimensional data of the objects; (ii) types of the objects; and/or (iii) color data of the objects. Conclusion 07-96 AIA The prior art made of record and not relied upon is considered pertinent to applicant's disclosure : See the attached PTO-892 form. Any inquiry concerning this communication or earlier communications from the examiner should be directed to PHONG X NGUYEN whose telephone number is (571)270-1591. The examiner can normally be reached Mon-Fri 8am - 5pm EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, King Poon can be reached at (571)272-7440. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. 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If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /PHONG X NGUYEN/ Primary Patent Examiner, Art Unit 2617 Application/Control Number: 18/922,577 Page 2 Art Unit: 2617 Application/Control Number: 18/922,577 Page 3 Art Unit: 2617 Application/Control Number: 18/922,577 Page 4 Art Unit: 2617 Application/Control Number: 18/922,577 Page 5 Art Unit: 2617 Application/Control Number: 18/922,577 Page 6 Art Unit: 2617 Application/Control Number: 18/922,577 Page 7 Art Unit: 2617 Application/Control Number: 18/922,577 Page 8 Art Unit: 2617 Application/Control Number: 18/922,577 Page 9 Art Unit: 2617 Application/Control Number: 18/922,577 Page 10 Art Unit: 2617
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