# US 2021/0239798 A1 · System, Method, and Computer Program Product for Automatically Configuring a Detection Device > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0239798 A1 - Document ID: US20210239798A1 - Status: Published application - Kind: A1 - Application number: 16/780,080 - Filed: 2020-02-03 - Published: 2021-08-05 - Earliest claimed: 2020-02-03 - Assignees: Outsight - Applicants: Outsight SA - Inventors: Raul Bravo - Web page: https://patentgrep.com/patent/US20210239798A1 ## CPC - G01S 7/4802: {using analysis of echo signal for target characterisation; Target signature; Target cross-section} - G06V 20/52: Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) - G01S 17/08: for measuring distance only (indirect measurement G01S17/46; active triangulation systems G01S17/48) - G01S 17/88: Lidar systems specially adapted for specific applications - G08B 13/181: using active radiation detection systems - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS ## Abstract A method, system, and computer program product is provided for automatically configuring a detection device. The method includes scanning, with a LiDAR device, a region to generate LiDAR data, analyzing the LiDAR data to determine a material classification for the region, determining a zone of interest within the region based on the material classification, the zone of interest comprising a subset of the region defined by a spatial boundary, monitoring the zone of interest with the detection device, identifying an event occurring within the spatial boundary of the zone of interest based on monitoring the region with the detection device, and in response to identifying the event occurring within the spatial boundary, automatically initiating at least one responsive action. ## Claims ### Claim 1 A method for automatically configuring a detection device, comprising: scanning, with a multispectral LiDAR device, a region to generate multispectral LiDAR data; analyzing, with at least one processor, the multispectral LiDAR data to determine a material classification for the region based on a spectral signature; determining, with at least one processor, a zone of interest within the region based on the material classification, the zone of interest comprising a subset of the region; generating, with at least one processor, a spatial boundary surrounding the zone of interest; storing the spatial boundary in a data storage device; monitoring the zone of interest with the detection device based on the spatial boundary; identifying, with at least one processor, an event occurring within the spatial boundary of the zone of interest based on monitoring the region with the detection device; and in response to identifying the event occurring within the spatial boundary, automatically initiating, with at least one processor, at least one responsive action. ### Claim 2 (canceled) ### Claim 3 (depends on 1) The method of claim 1, wherein the at least one responsive action comprises at least one of the following: generating a notification, communicating a notification, capturing at least one image, capturing at least one video, or any combination thereof. ### Claim 4 (depends on 1) The method of claim 1, wherein the detection device comprises a video camera, and wherein determining the zone of interest comprises identifying a perimeter corresponding to the spatial boundary within a base image obtained from the video camera. ### Claim 5 (depends on 1) The method of claim 1, wherein the detection device comprises the multispectral LiDAR device. ### Claim 6 (depends on 1) The method of claim 1, wherein the material classification comprises values representing a plurality of different material compositions corresponding to a plurality of different portions of the region. ### Claim 7 (depends on 6) The method of claim 6, wherein determining the zone of interest comprises identifying at least one portion of the region of the plurality of different portions of the region corresponding to at least one material composition of the plurality of different material compositions. ### Claim 8 (depends on 6) The method of claim 6, wherein determining the zone of interest comprises determining a plurality of zones of interest, each zone of interest of the plurality of zones of interest corresponding to at least one different material composition of the plurality of different material compositions. ### Claim 9 (depends on 1) The method of claim 1, further comprising: scanning the region with the multispectral LiDAR device to generate updated multispectral LiDAR data; analyzing, with at least one processor, the updated multispectral LiDAR data to determine an updated material classification for the region; and adjusting, with at least one processor, the spatial boundary of the zone of interest based on the updated material classification. ### Claim 10 (depends on 1) The method of claim 1, wherein scanning the region with the multispectral LiDAR device comprises scanning the region using a first LiDAR device arranged in a first position and a second LiDAR device arranged in a second position different than the first position. ### Claim 11 A system for automatically configuring a zone of interest, comprising: a multispectral LiDAR device; a detection device; and at least one processor in communication with the multispectral LiDAR device and the detection device, the at least one processor programmed or configured to: receive, from the multispectral LiDAR device, multispectral LiDAR data corresponding to a region; analyze the multispectral LiDAR data to determine a material classification for the region based on a spectral signature; determine a zone of interest within the region based on the material classification, the zone of interest comprising a subset of the region; generate a spatial boundary surrounding the zone of interest; storing the spatial boundary in a data storage device; monitor the region with the detection device based on the spatial boundary; identify an event occurring within the spatial boundary of the zone of interest based on monitoring the region with the detection device; and in response to identifying the event occurring within the spatial boundary, automatically initiate at least one responsive action. ### Claim 12 (canceled) ### Claim 13 (depends on 11) The system of claim 11, wherein the detection device comprises a video camera, and wherein determining the zone of interest comprises identifying a perimeter corresponding to the spatial boundary within a base image obtained from the video camera. ### Claim 14 (depends on 11) The system of claim 11, wherein the detection device comprises the multispectral LiDAR device. ### Claim 15 (depends on 11) The system of claim 11, wherein the material classification comprises values representing a plurality of different material compositions corresponding to a plurality of different portions of the region. ### Claim 16 (depends on 15) The system of claim 15, wherein determining the zone of interest comprises identifying at least one portion of the region of the plurality of different portions of the region corresponding to at least one material composition of the plurality of different material compositions. ### Claim 17 (depends on 15) The system of claim 15, wherein determining the zone of interest comprises determining a plurality of zones of interest, each zone of interest of the plurality of zones of interest corresponding to at least one different material composition of the plurality of different material compositions. ### Claim 18 (depends on 11) The system of claim 11, wherein the at least one processor is further programmed or configured to: scan the region with the multispectral LiDAR device to generate updated multispectral LiDAR data; analyze the updated multispectral LiDAR data to determine an updated material classification for the region; and adjust the spatial boundary of the zone of interest based on the updated material classification. ### Claim 19 (depends on 11) The system of claim 11, wherein the multispectral LiDAR device comprises a first LiDAR device arranged in a first position and a second LiDAR device arranged in a second position different than the first position. ### Claim 20 (depends on 11) The system of claim 11, wherein the at least one responsive action comprises at least one of the following: generating a notification, communicating a notification, capturing at least one image, capturing at least one video, or any combination thereof. ### Claim 21 A computer program product for automatically configuring a detection device, comprising at least one non-transitory computer-readable medium including program instructions that, when executed by at least one processor, cause the at least one processor to: receive, from a multispectral LiDAR device, multispectral LiDAR data corresponding to a region; analyze the multispectral LiDAR data to determine a material classification for the region based on a spectral signature; determine a zone of interest within the region based on the material classification, the zone of interest comprising a subset of the region; generate a spatial boundary surrounding the zone of interest; storing the spatial boundary in a data storage device; monitor the region with the detection device based on the spatial boundary; identify an event occurring within the spatial boundary of the zone of interest based on monitoring the region with the detection device; and in response to identifying the event occurring within the spatial boundary, automatically initiate at least one responsive action.