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* as React from 'react'\n /* @jsx mdx */\nimport { mdx } from '@mdx-js/react';\n/* @jsxRuntime classic */\n/* @jsx mdx */\nimport { EuiSpacer } from '@elastic/eui';\nimport SuccessBox from 'components/Web_User_Interface/1440p_Series/Alarm/Areas/SuccessBox';\nimport PermissionBox from 'components/Web_User_Interface/1440p_Series/_permissions/AlarmLivestreamPerm';\nimport UpdateBox from 'components/Web_User_Interface/1440p_Series/Alarm/Areas/PrimaryBoxUpdates';\nimport InfoBox from 'components/Web_User_Interface/1440p_Series/Alarm/Areas/PrimaryBoxInfo';\nimport YoutubeVideoCard from 'components/Web_User_Interface/1440p_Series/Alarm/Areas/YoutubeVideoCard';\nimport AreasTable from 'components/Web_User_Interface/1440p_Series/Alarm/Areas/areasTable';\nimport BreadCrumbs from 'components/Layout/BreadCrumbs';\nimport SEOHelmet from 'components/Layout/SEOHelmet';\nexport const _frontmatter = {\n \"title\": \"Alarm Menu // Alarm Areas\",\n \"path\": \"/Web_User_Interface/1440p_Series/Alarm/Areas/\",\n \"dateChanged\": \"2021-12-12\",\n \"author\": \"Mike Polinowski\",\n \"excerpt\": \"The alarm areas detect motion by an image analysis that is sensitive to changing pixels inside the video frame instead of employing an infrared or microwave motion sensor. You can setup up to 4 detection areas - just activate an area and draw its shape onto the image - and adjusts it´s sensitivity to set a threshold for trigger events. Once the motion detection in an area is activated, its sensitivity can be adjusted from very insensitive (value=0) to very sensitive (value=100).\",\n \"image\": \"./WebUI_1440p_SearchThumb_Alarm_Alarm_Areas.png\",\n \"social\": \"/images/Search/WebUI_1440p_SearchThumb_Alarm_Alarm_Areas.webp\",\n \"toc\": \"/images/Search/TOC_Icons/Wiki_Tiles_WebUI_white.webp\",\n \"chapter\": \"1440p Web User Interface\"\n};\nconst layoutProps = {\n _frontmatter\n};\nconst MDXLayout = \"wrapper\";\nexport default function MDXContent({\n components,\n ...props\n}) {\n return \n\n\n\n \n \n

{`1440p Web User Interface`}

\n

{`Alarm Menu`}

\n \n \n \n \n \n

{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}

\n

{`In the example (above) all 4 alarm areas are activated - each with a sensitivity of 50%. In the image below you can see a visualization of the camera's motion detection when you move an object through the field of view:`}

\n

\n

{`All black pixels are recognized as background and thus ignored. White pixels are pixels in which a change in brightness and/or color has been detected. With the given settings, at least 50% of the pixels in an area must become white before an alarm is triggered. The larger the area, the larger the movement in front of the camera must be to trigger an alarm.`}

\n
\n

{`The higher the sensitivity AND the smaller the area of an area, the faster an alarm will be triggered. Thus, in addition to reducing the sensitivity, increasing the areas can also limit false alarms.`}

\n
\n

{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}

\n

{`As expected, the condition - min. 50% of the pixels within an area must change - is only fulfilled for areas 3 and 4. Area 1 and 2 therefore do not trigger an alarm.`}

\n

{`In a second test run, the sensitivity of all areas is increased to 75%. The position and size are retained. Due to the higher sensitivity, it is now already sufficient if only a quarter of an area sees a movement:`}

\n

\n

{`With this setting, all areas now trigger:`}

\n

{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}{`\n `}

\n

{`Background Compensation`}

\n

{`Movements in the background - e.g. trees with leaves moving in the wind - are a common reason for false alarms. The WQHD cameras have an algorithm that detects such continuous movements and helps the camera to filter them out. In the following example, we have pointed our camera at a fan.`}

\n

\n

{`When starting the fan, the movement is detected and would trigger an alarm. After a short time, however, the background detection jumps in and suppresses the signal - the fan thus falls into the background and the image turns black. When the fan is switched off, the frequency with which the rotor moves changes and the fan \"falls\" out of the background again.`}

\n

{`This function suppresses false alarms. But it can also suppress \"real\" alarms. For example, if a person stays in front of the camera for a long time - in this case you often get an alarm only when entering and leaving.`}

\n

\n\n ;\n}\n;\nMDXContent.isMDXComponent = true;\n "],"names":["_frontmatter","layoutProps","MDXLayout","MDXContent","_ref","components","props","_objectWithoutProperties","_excluded","mdx","Object","assign","mdxType","SEOHelmet","title","dateChanged","author","tag","description","image","twitter","location","pathname","BreadCrumbs","locationBC","locationEN","locationDE","locationFR","crumbLabel","parentName","EuiSpacer","SuccessBox","PermissionBox","AreasTable","YoutubeVideoCard","InfoBox","UpdateBox","isMDXComponent"],"sourceRoot":""}