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|[setInput()](./multiple-image-processing.md#setinput)| Sets up an image source to provide images for continuous processing. |
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|[getInput()](./multiple-image-processing.md#getinput)| Returns the image source object. |
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|[addResultReceiver()](./multiple-image-processing.md#addresultreceiver)| Adds a `CapturedResultReceiver` object as the receiver of captured results. |
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|[removeResultReceiver()](./multiple-image-processing.md#removeresultreceiver)| Removes the specified `CapturedResultReceiver` object. |
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|[addResultFilter()](./multiple-image-processing.md#addresultfilter)| Adds a `MultiFrameResultCrossFilter` object to filter non-essential results. |
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|[removeResultFilter()](./multiple-image-processing.md#removeresultfilter)| Removes the specified `MultiFrameResultCrossFilter` object. |
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|[startCapturing()](./multiple-image-processing.md#startcapturing)| Initiates a capturing process based on a specified template. |
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|[stopCapturing()](./multiple-image-processing.md#stopcapturing)| Stops the capturing process. |
|[setInput()](./multiple-image-processing.md#setinput)| Sets up an image source to provide images for continuous processing. |
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|[getInput()](./multiple-image-processing.md#getinput)| Returns the image source object. |
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|[addResultReceiver()](./multiple-image-processing.md#addresultreceiver)| Adds a `CapturedResultReceiver` object as the receiver of captured results. |
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|[removeResultReceiver()](./multiple-image-processing.md#removeresultreceiver)| Removes the specified `CapturedResultReceiver` object. |
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|[addResultFilter()](./multiple-image-processing.md#addresultfilter)| Adds a `MultiFrameResultCrossFilter` object to filter non-essential results. |
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|[removeResultFilter()](./multiple-image-processing.md#removeresultfilter)| Removes the specified `MultiFrameResultCrossFilter` object. |
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|[startCapturing()](./multiple-image-processing.md#startcapturing)| Initiates a capturing process based on a specified template. |
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|[stopCapturing()](./multiple-image-processing.md#stopcapturing)| Stops the capturing process. |
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|[switchCapturingTemplate()](./multiple-image-processing.md#switchcapturingtemplate)| Switches the currently active capturing template during the image processing workflow. |
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<!-- | [addImageSourceStateListener()](./multiple-image-processing.md#addimagesourcestatelistener) | Adds an `ImageSourceStateListener` object that monitors changes in the state of an image source. |
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| [removeImageSourceStateListener()](./multiple-image-processing.md#removeimagesourcestatelistener) | Removes the specified `ImageSourceStateListener` object. | -->
|[setInput()](#setinput)| Sets up an image source to provide images for continuous processing. |
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|[getInput()](#getinput)| Returns the image source object. |
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|[addResultReceiver()](#addresultreceiver)| Adds a `CapturedResultReceiver` object as the receiver of captured results. |
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|[removeResultReceiver()](#removeresultreceiver)| Removes the specified `CapturedResultReceiver` object. |
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|[addResultFilter()](#addresultfilter)| Adds a `MultiFrameResultCrossFilter` object to filter non-essential results. |
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|[removeResultFilter()](#removeresultfilter)| Removes the specified `MultiFrameResultCrossFilter` object. |
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|[startCapturing()](#startcapturing)| Initiates a capturing process based on a specified template. |
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|[stopCapturing()](#stopcapturing)| Stops the capturing process. |
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|[switchCapturingTemplate()](#switchcapturingtemplate)| Switches the currently active capturing template during the image processing workflow. |
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<!--
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| [addImageSourceStateListener()](#addimagesourcestatelistener) | Adds an `ImageSourceStateListener` object that monitors changes in the state of an image source. |
Switches the currently active capturing template during the image processing workflow. This allows dynamic reconfiguration of the capture process without restarting or reinitializing the system, enabling different settings or rules to be applied on the fly.
|[getTemplateNames()](#gettemplatenames)| Retrieves the names of all the currently available templates. |
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|[updateSettings()](#updatesettings)| Updates the specified `CaptureVisionTemplate` with an updated `SimplifiedCaptureVisionSettings` object. |
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|[resetSettings()](#resetsettings)| Restores all runtime settings to their original default values. |
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|[switchCapturingTemplate()](#switchcapturingtemplate)| Switches the currently active capturing template during the image processing workflow. |
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## initSettings
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@@ -236,34 +234,3 @@ A promise that resolves when the operation has completed. It provides an object
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let router =awaitDynamsoft.CVR.CaptureVisionRouter.createInstance();
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awaitrouter.resetSettings();
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```
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## switchCapturingTemplate
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Switches the currently active capturing template during the image processing workflow. This allows dynamic reconfiguration of the capture process without restarting or reinitializing the system, enabling different settings or rules to be applied on the fly.
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@@ -25,7 +25,7 @@ Implementing DCV, regardless of platform or language, involves three stages: inp
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-`Image Processing`: DCV processes the images to derive information, powered by Dynamsoft's cutting-edge algorithms. To ensure efficient operation in web environments like browsers, these algorithms are compiled into [WebAssembly](https://developer.mozilla.org/en-US/docs/WebAssembly) modules (.wasm files). These modules are large in size, and DCV can asynchronously preload them into the web page to enhance user experience.
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-`Output`: The derived information is made available to other business logic through the [Captured Result Receiver (CRR)](https://www.dynamsoft.com/capture-vision/docs/core/architecture/output.html#captured-result-receiver) interface. In web applications, real-time interaction is crucial. DCV leverages Dynamsoft Camera Enhancer’s UI functionality to display results at runtime and, in some cases, allows user intervention to improve results.
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-`Output`: The derived information is made available to other business logic through the [Captured Result Receiver (CRR)](https://www.dynamsoft.com/capture-vision/docs/core/architecture/output.html#captured-result-receiver) interface. In web applications, real-time interaction is crucial. DCV leverages Dynamsoft Camera Enhancer's UI functionality to display results at runtime and, in some cases, allows user intervention to improve results.
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