# Scope This function block displays live plots of up to ten numerical signals. Use it to monitor real-time values such as counters, sensor readings, image analysis metrics or boolean states (shown as 0/1). ## đŸ“Ĩ Inputs `Input 1` Numerical value for curve 1 (accepts integers, floats, booleans).\ `Input 2` Numerical value for curve 2.\ `Input 3` Numerical value for curve 3.\ `Input 4` Numerical value for curve 4.\ `Input 5` Numerical value for curve 5.\ `Input 6` Numerical value for curve 6.\ `Input 7` Numerical value for curve 7.\ `Input 8` Numerical value for curve 8.\ `Input 9` Numerical value for curve 9.\ `Input 10` Numerical value for curve 10. Each input accepts one numeric stream. Booleans are plotted as 0 or 1. ## 📤 Outputs This function block does not produce outputs. ## 🕹ī¸ Controls `Scope` Interactive plot area where curves are drawn and updated in real time.\ `Curve Names` Automatically set from the input socket labels so you can read which curve belongs to which signal. ## 🎨 Features * Live plotting of up to ten curves, updated every evaluation cycle. * Automatic labeling of curves based on connected inputs. * Accepts numeric and boolean inputs (booleans plotted as 0/1). * Resizable display for clearer visualization. ## 📝 Usage Instructions 1. Connect numerical outputs from other function blocks to the desired `Input N` sockets. 2. Run the scenario; the `Scope` will plot incoming values over time. 3. Resize the block if you need a larger plotting area. 4. Use distinct inputs to compare signals side-by-side (for example, two different sensor channels). ## 📊 Evaluation On each run cycle the block reads up to ten inputs and appends their current numeric values to the corresponding curves. If an input is disconnected or non-numeric, that curve will receive a default zero for the current update. ## 💡 Tips and Tricks * To quickly test the plot, feed values from the `Number Input` block. * Plot counters or event rates by connecting the `Counter` or `Cycle Timer` outputs to the `Input N` sockets. * Visualize object counts or detections by connecting outputs such as `Object Count` from `Object Detection` or `Person Count` from `Social Distance Detector`. * Monitor image statistics by connecting outputs like `Mean Value` and `Standard Deviation` from `Mean Value of Image` and `Std. of Image`. * Compare color channel metrics by using outputs from `Color Density Percentage`. * Use boolean signals from `Logic Input` to monitor on/off states (they appear as 0/1). * Combine with `Get Batch Size` or other flow-control blocks to visualize batch-processing metrics or progress. ## 🛠ī¸ Troubleshooting * If nothing appears on the plot, confirm inputs are connected and producing numeric values. * If a curve is flat at zero, check that the supplying block is actually outputting numbers (use `Number Input` to verify). * If labels are unclear, rename upstream inputs or use distinct signal sources so automatic `Curve Names` are meaningful. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.augelab.com/function-blocks/input-output/outputs-exports/scope.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.