# US 2026/0094401 A1 · Object recognition system, object recognition apparatus, and object recognition method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0094401 A1 - Document ID: US20260094401A1 - Status: Published application - Kind: A1 - Application number: 19/333,458 - Filed: 2025-09-19 - Published: 2026-04-02 - Earliest claimed: 2024-09-30 - Assignees: NEC Corporation - Applicants: NEC Corporation - Inventors: Junichi ABE; Kazumine OGURA; Koichi NIHEI; Tatsuya FUJIMOTO; Toshiyuki NOMURA - Web page: https://patentgrep.com/patent/US20260094401A1 ## CPC - G06V 10/25: Determination of region of interest [ROI] or a volume of interest [VOI] - G06V 10/60: relating to illumination properties, e.g. using a reflectance or lighting model - G06V 10/762: using clustering, e.g. of similar faces in social networks - G06V 2201/07: Target detection - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract An object recognition system includes: an image recognition unit for generating an image bounding box by performing image recognition on image data obtained by photographing a target region; a point cloud clustering unit for generating a point cloud bounding box by performing clustering on point cloud data obtained by measuring the target region; an association unit for associating the image bounding box with the point cloud bounding box; and an output unit for outputting the image bounding box associated with the point cloud bounding box as an object recognition result based on a distance of the point cloud bounding box. ## Claims ### Claim 1 An object recognition system comprising: a memory configured to store instructions; and a processor configured to execute the instructions to: generate an image bounding box by performing image recognition on image data obtained by photographing a target region; generate a point cloud bounding box by performing clustering on point cloud data obtained by measuring the target region; associate the image bounding box with the point cloud bounding box; and output the image bounding box associated with the point cloud bounding box as an object recognition result based on a distance of the point cloud bounding box. ### Claim 2 (depends on 1) The object recognition system according to claim 1, wherein the processor is further configured to execute the instructions to determine a selection threshold based on the distance of the point cloud bounding box and select the output image bounding box based on the determined selection threshold. ### Claim 3 (depends on 2) The object recognition system according to claim 2, wherein the selection threshold is a threshold for determining a reliability score that is an image recognition result of the image bounding box or an IoU in a case where the image bounding box overlaps another image bounding box. ### Claim 4 (depends on 1) The object recognition system according to claim 1, wherein the processor is further configured to execute the instructions to select the output image bounding box based on a speed of the point cloud bounding box. ### Claim 5 (depends on 1) The object recognition system according to claim 1, wherein the processor is further configured to execute the instructions to select the output image bounding box based on an illuminance of the target region. ### Claim 6 (depends on 1) The object recognition system according to claim 1, wherein the processor is further configured to execute the instructions to associate the image bounding box with the point cloud bounding box based on the distance of the point cloud bounding box. ### Claim 7 (depends on 6) The object recognition system according to claim 6, wherein the processor is further configured to execute the instructions to determine an association threshold based on the distance of the point cloud bounding box and associate the image bounding box with the point cloud bounding box based on the determined association threshold. ### Claim 8 (depends on 7) The object recognition system according to claim 7, wherein the association threshold is a threshold for determining a matching rate between the image bounding box and the point cloud bounding box or an IoU. ### Claim 9 (depends on 1) The object recognition system according to claim 1, wherein the processor is further configured to execute the instructions to associate the image bounding box with the point cloud bounding box based on a speed of the point cloud bounding box. ### Claim 10 (depends on 1) The object recognition system according to claim 1, wherein the processor is further configured to execute the instructions to associate the image bounding box with the point cloud bounding box based on an illuminance of the target region. ### Claim 11 An object recognition apparatus comprising: a memory configured to store instructions; and a processor configured to execute the instructions to: generate an image bounding box by performing image recognition on image data obtained by photographing a target region; generate a point cloud bounding box by performing clustering on point cloud data obtained by measuring the target region; associate the image bounding box with the point cloud bounding box; and output the image bounding box associated with the point cloud bounding box as an object recognition result based on a distance of the point cloud bounding box. ### Claim 12 An object recognition method comprising: generating an image bounding box by performing image recognition on image data obtained by photographing a target region; generating a point cloud bounding box by performing clustering on point cloud data obtained by measuring the target region; associating the image bounding box with the point cloud bounding box; and outputting the image bounding box associated with the point cloud bounding box as an object recognition result based on a distance of the point cloud bounding box.