[{"data":1,"prerenderedAt":2045},["ShallowReactive",2],{"docs-\u002Fdocs\u002Fflowfuse-nodes\u002Fedge\u002Frtsp\u002F":3,"featureCatalog":587,"docs-nav":991},{"id":4,"title":5,"body":6,"description":575,"editUrl":576,"extension":577,"layout":578,"meta":579,"metaTitle":5,"navGroup":578,"navGroupOrder":578,"navOrder":580,"navTitle":5,"navigation":581,"originalPath":578,"path":582,"redirect":578,"seo":583,"stem":584,"updated":585,"version":578,"__hash__":586},"docs\u002Fdocs\u002Fflowfuse-nodes\u002Fedge\u002Frtsp.md","RTSP Video Feed",{"type":7,"value":8,"toc":558},"minimark",[9,13,29,41,59,67,94,99,102,107,115,119,170,174,177,180,184,197,207,211,243,248,259,271,275,278,426,435,438,445,449,452,457,497,511,523,527,536,546,555],[10,11,5],"h1",{"id":12},"rtsp-video-feed",[14,15,16,17,20,21,28],"p",{},"The ",[18,19,5],"strong",{}," node connects to an ",[22,23,27],"a",{"href":24,"rel":25},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FReal-Time_Streaming_Protocol",[26],"nofollow","RTSP"," video stream from an IP camera or NVR and extracts still frames as PNG images.",[14,30,31,32,35,36,40],{},"This is a ",[18,33,34],{},"FlowFuse Certified Node",". Unlike community nodes, which vary in quality and can go unmaintained without warning, FlowFuse vets Certified Nodes for quality, security, and support, and maintains them on an ongoing basis. ",[22,37,39],{"href":38},"\u002Fblog\u002F2025\u002F07\u002Fcertified-nodes-v2\u002F","Read more about Certified Nodes",".",[14,42,43,44,48,49,51,52,55,56,58],{},"The node orchestrates ",[45,46,47],"code",{},"ffmpeg"," to acquire and decode the video stream. By handling the video decoding externally, ",[45,50,47],{}," reduces the processing load on the main FlowFuse event loop. However, higher frame rates and image resolutions generate more image data, which can increase CPU and memory usage as frames are transferred and processed within your flows. The node is a source node with no input connector. It begins capturing frames as soon as the flow is deployed and displays a green ",[18,53,54],{},"Running"," status on the canvas when it has successfully connected to the stream. If ",[45,57,47],{}," exits unexpectedly, the node restarts it automatically after a short delay and displays the exit code in the node status.",[14,60,61,62,66],{},"Extracted frames can either be emitted as messages into the flow or written directly to disk as a numbered sequence of PNG files. See ",[22,63,65],{"href":64},"#operating-modes","Operating modes"," for details.",[68,69,73,78],"div",{"className":70},[71,72],"ff-callout","ff-callout--note",[14,74,77],{"className":75},[76],"ff-callout__title","Note",[68,79,82],{"className":80},[81],"ff-callout__content",[14,83,84,85,88,89,93],{},"The RTSP Video Feed node is not available by default. It is part of the FlowFuse Edge Certified Nodes catalogue, which is part of the ",[18,86,87],{},"FlowFuse Edge"," offering. Please contact our sales team at ",[22,90,92],{"href":91},"\u002Fcontact-us\u002F","Contact us"," to learn more or to request access.",[95,96,98],"h2",{"id":97},"use-case","Use case",[14,100,101],{},"Most plants and facilities already have IP cameras on the network, but the footage is locked inside an NVR: useful for reviewing an incident after the fact, invisible to everything else. The RTSP Video Feed node turns those existing cameras into a live data source. It captures still frames from the stream at a rate you choose and hands them to your flow as PNG images, where they can be analyzed, displayed, filtered, or stored like any other data. No new hardware, no separate video-analytics appliance.",[103,104,106],"h3",{"id":105},"example-catching-mislabeled-products-on-a-packaging-line","Example: catching mislabeled products on a packaging line",[14,108,109,110,114],{},"A camera above a packaging line already streams to the site NVR. Point the RTSP Video Feed node at that same stream, set it to 1 FPS, and wire it to a ",[22,111,113],{"href":112},"\u002Fdocs\u002Fflowfuse-nodes\u002Fai\u002F","FlowFuse AI node"," running an image classification model. Each frame is checked for a missing or misprinted label, and when one is detected, the flow raises a dashboard alert and publishes the offending frame over MQTT for the quality team to review. What used to require an operator glancing at a screen, or a dedicated vision system with its own controller and license, becomes a three-node flow on hardware you already own.",[103,116,118],{"id":117},"where-this-shows-up-in-practice","Where this shows up in practice",[120,121,122,132,143,164],"ul",{},[123,124,125,128,129,131],"li",{},[18,126,127],{},"Machine vision",": feed frames to a ",[22,130,113],{"href":112}," for object detection or image classification, then act on the result, for example counting parts on a line, checking a fill level, or verifying a safety gate is closed.",[123,133,134,137,138,142],{},[18,135,136],{},"Remote monitoring",": display the frames live on a ",[22,139,141],{"href":140},"\u002Fplatform\u002Fdashboard\u002F","FlowFuse Dashboard"," so an operator can watch a machine or area from anywhere the dashboard is reachable, alongside the process data on the same page.",[123,144,145,148,149,152,153,156,157,163],{},[18,146,147],{},"Event snapshots",": route frames through a ",[45,150,151],{},"function"," or ",[45,154,155],{},"switch"," node and keep only the ones that matter, for example the frame captured the moment a PLC tag or sensor reports a fault, and forward it with an ",[22,158,160],{"href":159},"\u002Fdocs\u002Fflowfuse-nodes\u002Fmqtt\u002Fmqtt-out\u002F",[45,161,162],{},"mqtt out"," node or attach it to an alert.",[123,165,166,169],{},[18,167,168],{},"Timelapse and archiving",": switch to disk-writing mode and the node writes a numbered sequence of PNG files for later review or timelapse assembly, without adding any messages to the flow.",[103,171,173],{"id":172},"combining-video-with-other-plant-data","Combining video with other plant data",[14,175,176],{},"Because the frames arrive as ordinary messages, they combine naturally with everything else in a flow. A single flow can join a camera frame with the PLC tag values captured at the same moment, so a quality event is recorded with both the picture and the process conditions that produced it. That correlation is exactly what standalone camera systems can't do.",[14,178,179],{},"Set the FPS no higher than the use case requires: in message mode each captured frame becomes a message, and higher frame rates increase CPU and memory usage.",[95,181,183],{"id":182},"requirements","Requirements",[14,185,186,187,189,190,193,194,196],{},"The node requires ",[45,188,47],{},". In most cases this is handled automatically: the node pulls in ",[45,191,192],{},"ffmpeg-static"," on install, which provides a prebuilt ",[45,195,47],{}," binary for your platform.",[14,198,199,200,202,203,206],{},"If a prebuilt binary is not available for your platform, the node falls back to an ",[45,201,47],{}," binary on the system ",[45,204,205],{},"PATH",". If neither is found, the node will not load and an error is written to the FlowFuse log.",[95,208,210],{"id":209},"install","Install",[212,213,214,221,227,234],"ol",{},[123,215,216,217,220],{},"Open the ",[18,218,219],{},"Palette Manager"," from the top-right menu in the FlowFuse editor.",[123,222,223,224,226],{},"Switch to the ",[18,225,210],{}," tab.",[123,228,229,230,233],{},"Find the ",[18,231,232],{},"FlowFuse Edge Certified Nodes"," collection.",[123,235,236,237,240,241,40],{},"Locate ",[45,238,239],{},"@flowfuse-certified-nodes\u002Frtsp"," and click ",[18,242,210],{},[14,244,245,247],{},[45,246,47],{}," is pulled in automatically during install.",[14,249,250,255],{},[251,252],"img",{"alt":253,"src":254},"Palette Manager open on the Install tab with the FlowFuse Edge Certified Nodes collection visible and the RTSP node's Install button highlighted","\u002Fdocs\u002Fflowfuse-nodes\u002Fedge\u002Fimages\u002Frtsp\u002Frtsp-edge-catalog.png",[256,257,258],"em",{},"Locating and installing the RTSP Video Feed node from the FlowFuse Edge Certified Nodes catalogue.",[68,260,262,265],{"className":261},[71,72],[14,263,77],{"className":264},[76],[68,266,268],{"className":267},[81],[14,269,270],{},"Newly installed nodes are picked up automatically, no restart needed. Restart is only required when you update a node that's already installed: restart any remote instance or hosted instance running the previous version.",[95,272,274],{"id":273},"configuration","Configuration",[14,276,277],{},"Open the node's settings by double-clicking it on the canvas.",[279,280,281,297],"table",{},[282,283,284],"thead",{},[285,286,287,291,294],"tr",{},[288,289,290],"th",{},"Field",[288,292,293],{},"Required",[288,295,296],{},"Description",[298,299,300,318,331,343,365,381,398,410],"tbody",{},[285,301,302,308,311],{},[303,304,305],"td",{},[18,306,307],{},"RTSP URL",[303,309,310],{},"Yes",[303,312,313,314,317],{},"The stream URL, e.g. ",[45,315,316],{},"rtsp:\u002F\u002F192.168.1.50:554\u002Flive\u002Fch1",". Must be a valid URL.",[285,319,320,325,328],{},[303,321,322],{},[18,323,324],{},"Username",[303,326,327],{},"No",[303,329,330],{},"Username for streams that require authentication.",[285,332,333,338,340],{},[303,334,335],{},[18,336,337],{},"Password",[303,339,327],{},[303,341,342],{},"Password for streams that require authentication. Stored as a FlowFuse credential and never written to the flow file.",[285,344,345,350,352],{},[303,346,347],{},[18,348,349],{},"FPS",[303,351,327],{},[303,353,354,355,358,359,362,363,40],{},"Frames per second to capture, from ",[45,356,357],{},"1"," to ",[45,360,361],{},"60",". Defaults to ",[45,364,357],{},[285,366,367,372,374],{},[303,368,369],{},[18,370,371],{},"File path",[303,373,327],{},[303,375,376,377,380],{},"Directory frames are written to in disk-writing mode. If left empty, the OS temp directory (e.g. ",[45,378,379],{},"\u002Ftmp",") is used.",[285,382,383,391,393],{},[303,384,385],{},[18,386,387,388],{},"Output image as ",[45,389,390],{},"msg.payload",[303,392,327],{},[303,394,395,396,40],{},"Switches between message mode and disk-writing mode. Enabled by default. See ",[22,397,65],{"href":64},[285,399,400,405,407],{},[303,401,402],{},[18,403,404],{},"Name",[303,406,327],{},[303,408,409],{},"Optional label for the node in the FlowFuse editor.",[285,411,412,417,419],{},[303,413,414],{},[18,415,416],{},"Topic",[303,418,327],{},[303,420,421,422,425],{},"Sets ",[45,423,424],{},"msg.topic"," on emitted messages. Useful when routing frames to MQTT.",[14,427,428,432],{},[251,429],{"alt":430,"src":431},"RTSP Video Feed node settings panel showing the RTSP URL, Username, Password, FPS, File path, and Output image fields","\u002Fdocs\u002Fflowfuse-nodes\u002Fedge\u002Fimages\u002Frtsp\u002Frtsp-config-node.png",[256,433,434],{},"The RTSP Video Feed node configuration panel.",[95,436,65],{"id":437},"operating-modes",[14,439,16,440,444],{},[18,441,387,442],{},[45,443,390],{}," checkbox controls how the node handles captured frames.",[103,446,448],{"id":447},"output-enabled-default","Output enabled (default)",[14,450,451],{},"The node emits each captured frame as a message at the configured FPS rate.",[14,453,454],{},[18,455,456],{},"Output properties:",[279,458,459,471],{},[282,460,461],{},[285,462,463,466,469],{},[288,464,465],{},"Property",[288,467,468],{},"Type",[288,470,296],{},[298,472,473,485],{},[285,474,475,479,482],{},[303,476,477],{},[45,478,390],{},[303,480,481],{},"Buffer",[303,483,484],{},"The captured frame as a PNG image buffer.",[285,486,487,491,494],{},[303,488,489],{},[45,490,424],{},[303,492,493],{},"String",[303,495,496],{},"The topic configured on the node.",[14,498,499,500,503,504,507,508,40],{},"The output can be wired to any node that accepts an image buffer, including ",[22,501,502],{"href":140},"FlowFuse Dashboard widgets",", ",[22,505,506],{"href":159},"MQTT out nodes",", and ",[22,509,510],{"href":112},"FlowFuse AI nodes",[68,512,514,517],{"className":513},[71,72],[14,515,77],{"className":516},[76],[68,518,520],{"className":519},[81],[14,521,522],{},"Every captured frame becomes a message in the flow. A high FPS value increases the number and size of messages being processed. Set FPS no higher than your use case requires.",[103,524,526],{"id":525},"output-disabled","Output disabled",[14,528,529,530,532,533,535],{},"The node emits no messages. Instead, ",[45,531,47],{}," writes a continuous numbered sequence of PNG files to the directory set in ",[18,534,371],{},", named as follows:",[537,538,543],"pre",{"className":539,"code":541,"language":542},[540],"language-text","rtsp-\u003Cnode-id>-\u003Ccounter>.png\n","text",[45,544,541],{"__ignoreMap":545},"",[14,547,548,549,551,552,554],{},"If ",[18,550,371],{}," is left empty, files are written to the OS temp directory (e.g. ",[45,553,379],{},"). On many Linux distributions this is a RAM-backed filesystem, so frames consume memory rather than disk space and are cleared on reboot.",[14,556,557],{},"The node does not delete files written to disk. At a high FPS rate, files will accumulate and eventually fill the available storage. Monitor available disk space when using this mode.",{"title":545,"searchDepth":559,"depth":559,"links":560},4,[561,568,569,570,571],{"id":97,"depth":562,"text":98,"children":563},2,[564,566,567],{"id":105,"depth":565,"text":106},3,{"id":117,"depth":565,"text":118},{"id":172,"depth":565,"text":173},{"id":182,"depth":562,"text":183},{"id":209,"depth":562,"text":210},{"id":273,"depth":562,"text":274},{"id":437,"depth":562,"text":65,"children":572},[573,574],{"id":447,"depth":565,"text":448},{"id":525,"depth":565,"text":526},"The RTSP Video Feed node connects to an RTSP video stream from an IP camera or NVR and extracts still frames as PNG images.","https:\u002F\u002Fgithub.com\u002FFlowFuse\u002Fwebsite\u002Fedit\u002Fmain\u002Fnuxt\u002Fcontent-guides\u002Fflowfuse-nodes\u002Fedge\u002Frtsp.md","md",null,{},1,true,"\u002Fdocs\u002Fflowfuse-nodes\u002Fedge\u002Frtsp",{"title":5,"description":575},"docs\u002Fflowfuse-nodes\u002Fedge\u002Frtsp","2026-09-08 11:02:51 +0200","TSagv16kOArpuF4L-AIrtkIW1mkBDmb2PU9v5B8kM6c",{"id":588,"extension":589,"meta":590,"sections":591,"stem":989,"__hash__":990},"featureCatalog\u002Ffeature-catalog.yml","yml",{},[592,653,754,816,893,971],{"id":593,"title":594,"features":595},"ai-automation","AI & Automation",[596,606,616,626,632,642,648],{"id":597,"title":598,"description":599,"docsLink":600,"changelog":601,"tiers":605},"flowfuse-expert-ai","FlowFuse Expert AI","Build industrial apps with agents, and query the state of the factory with an agent. Adapt your current hardware and machines so agentic work can be done against them, without ripping and replacing what's already on the plant floor.","\u002Fdocs\u002Fuser\u002Fexpert\u002F",[602],{"url":603,"release":604},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-update-banner\u002F","2.28",{"edge":581,"hub":581,"fleet":581},{"id":607,"title":608,"description":609,"docsLink":610,"changelog":611,"subfeature":581,"showOnPricing":614,"tiers":615},"flowfuse-expert-support-mode","Support Mode","Chat-based assistance for FlowFuse and Node-RED, including Node-RED instance management through natural language.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F#support-mode",[612],{"url":613,"release":604},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-debug-log-context\u002F",false,{"edge":581,"hub":581,"fleet":581},{"id":617,"title":618,"description":619,"docsLink":620,"changelog":621,"subfeature":581,"showOnPricing":614,"tiers":625},"flowfuse-expert-application-building","Application Building","Describe what you want to build and FlowFuse Expert assembles it on your workspace, adding tabs, wiring nodes, and configuring properties.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F",[622],{"url":623,"release":624},"\u002Fchangelog\u002F2026\u002F05\u002Fexpert-application-building\u002F","2.30",{"edge":581,"hub":581,"fleet":581},{"id":627,"title":628,"description":629,"docsLink":630,"subfeature":581,"beta":581,"showOnPricing":614,"tiers":631},"flowfuse-expert-insights-mode","Insights Mode","Connects FlowFuse Expert to MCP servers in your Node-RED instances, enabling real-time data queries and actions through a single chat interface.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F#insights-mode",{"edge":581,"hub":581,"fleet":581},{"id":633,"title":634,"description":635,"docsLink":636,"changelog":637,"tiers":641},"third-party-agents","Connect Your Own AI Agent","Point the AI agent your company already uses at FlowFuse, so it can query your teams and instances and build Node-RED applications, with you deciding which teams it reaches and whether it can make changes.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fthird-party-agents\u002F",[638],{"url":639,"release":640},"\u002Fchangelog\u002F2026\u002F08\u002Fconnect-your-own-ai-agent\u002F","3.0",{"edge":581,"hub":581,"fleet":581},{"id":643,"title":644,"description":645,"docsLink":646,"tiers":647},"mcp-servers","Agentic Operations","Expose your Node-RED flows as tools an AI agent can call directly, so agents can query the state of the factory or trigger actions without custom integration work.","\u002Fdocs\u002Fflowfuse-nodes\u002Fmcp\u002F",{"edge":581,"hub":581,"fleet":581},{"id":649,"title":650,"description":651,"tiers":652},"onnx-integration","ONNX Integration","Run trained machine learning models directly in your flows, including on edge hardware, without sending data out to an external inference service.",{"edge":581,"hub":581,"fleet":581},{"id":654,"title":655,"features":656},"build","Build",[657,663,669,679,685,691,695,701,707,715,721,725,729,738,746],{"id":658,"title":659,"description":660,"docsLink":661,"tiers":662},"edge-development","Edge Development","Develop and test Node-RED flows directly on edge devices with a remote editor proxy.","\u002Fdocs\u002Fdevice-agent\u002Fquickstart\u002F",{"edge":581,"hub":614,"fleet":581},{"id":664,"title":665,"description":666,"docsLink":667,"tiers":668},"private-npm-registry","Custom Node-RED Nodes","Create and manage your own private npm registry for Node-RED nodes, so you can share custom nodes across your team and 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instances.","\u002Fdocs\u002Finstall\u002Ffile-storage\u002F",{"edge":581,"hub":581,"fleet":581},{"id":686,"title":687,"description":688,"docsLink":689,"showOnPricing":614,"tiers":690},"persistent-context","Persistent Context","In-memory values defined in a Node-RED flow persist across project restarts and upgrades.","\u002Fdocs\u002Fuser\u002Fpersistent-context\u002F",{"edge":581,"hub":581,"fleet":581},{"id":692,"title":693,"showOnPricing":614,"tiers":694},"static-assets","Static Assets",{"edge":581,"hub":581,"fleet":581},{"id":696,"title":697,"description":698,"docsLink":699,"tiers":700},"team-library","Team Library","Set up standard nodes and flows that can be shared with all team members across your organisation.","\u002Fdocs\u002Fuser\u002Fshared-library\u002F",{"edge":581,"hub":581,"fleet":581},{"id":702,"title":703,"description":704,"docsLink":705,"tiers":706},"personalised-multi-user-dashboards","Personalised Multi-User Dashboards","Build applications that provide unique data to each logged-in user using personalised multi-user dashboards.","https:\u002F\u002Fdashboard.flowfuse.com\u002Fuser\u002Fmulti-tenancy.html",{"edge":581,"hub":581,"fleet":581},{"id":708,"title":709,"description":710,"changelog":711,"subfeature":581,"showOnPricing":614,"tiers":714},"dashboards-view","Dashboards View","Browse and open every dashboard across your team from a dedicated Dashboards view, at both team and application level, without leaving FlowFuse.",[712],{"url":713,"release":677},"\u002Fchangelog\u002F2026\u002F07\u002Fteam-and-application-dashboards\u002F",{"edge":581,"hub":581,"fleet":581},{"id":716,"title":717,"description":718,"docsLink":719,"tiers":720},"blueprints-converge","Blueprints","Ready-made starting points for your apps, from cross-team Converge templates to OT and IT specific 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