Insights Dashboard

iris+ insights is a brand new module that irisity offers for customers who want more curated insight into the trends and statistics from their monitoring sites introduction to insights dashboard the insights module is a new one that offers customers a perspective across the detectable activities at their sites these data sets are taken from occurrences triggered in the past, and collected to allow customers to splice the data to their desired visualization preferences the insights module contains these primary functions create and personalize your dashboards view and make sense of a dashboard before you begin to ensure that your dashboards generate properly, please make sure you meet the minimum requirements have an active camera on an edge device with one of the following rules or statistics active statistic rules crowd statistics people counting traffic statistics any real time event rules at least one event or one statistic reported general terminologies to learn the insights module relies on many functions, each one renders a specific part of the dashboard in a particular way therefore, it is crucial to know the general fields that will most likely be used regularly when creating a dashboard data sources a data source is essentially the back end table that holds all instances of real time events or statistics each data source provides a list of data that describes events, which typically includes event reported start & end time rule type object detected time of event or statistic reported camera name camera id folder information you must select the right data source that includes the actual data you need to do so, be sure to remember which cameras have the rules or statistics you are interested in selecting the incorrect data sources of the wrong cameras will make your panels blank graph types there are 11 types of graphs available in insights this includes bar charts, pie charts, pivot tables, grid tables, etc the most popular graphs to use are pivot / grid table graph chart pie chart cards a grid table will typically look like an excel sheet, where the table consists of columns and rows of information each column has a header, each row has an interval of data a graph chart represents bars in a graph, which contains an x axis and a y axis a pie chart represents a circle divided into pieces, hence the name "pie" each piece represents a portion of the entirety of a source a card represents one value taken from a source this could be taken from any source specified from your data source bindings to render a visual in a panel of a chart, you must bind fields from a database to show there are a few places you must have bindings for in each panel values arguments series for particular types of panels there may be additional points of information you can also configure to learn more, check out the advanced user guide create an insights dashboard there are two methods for creating a templated dashboard today templated dashboards quick and simple pre configured dashboards that require little to no setup these dashboards work as it is configured these are best suited for users who are looking for something quick and simple custom dashboards manual method of creating dashboards these dashboards require custom configurations, best suited for users requiring specific setups and reporting create a new dashboard with templated dashboards to set up a templated dashboard, click on +new dashboard followed by selecting a data source each data source will have its collection of available templated dashboards, all preconfigured for quick setup and operations select one of the templated dashboard options, then click save at the bottom of the pop up this will create a new dashboard on the screen with the prepopulated widgets if all looks correct, no further actions will be needed from this point be sure to select the correct folders, cameras, and time range before exiting insights if the templated dashboard isn't exactly curated to your needs, you can always edit the templated dashboard and save it as a custom dashboard if you edit and save a templated dashboard after its creation, you cannot revert to the same dashboard as its original template dashboard version please create a new templated dashboard if you would like to have the original templated dashboard set up create a new heatmap dashboard with templated dashboards in addition to the regular dashboards, create a new custom dashboard the insights module can offer quick and easy visualization functions to help you get a dashboard up and running without any hassle the most basic visualization options the module offers are creating an aggregation of data over time in a graph creating a count in a panel that updates every couple of minutes creating columns of fields of interest to create a new dashboard, click on the button +create a new dashboard followed by selecting a data source instead of selecting a templated dashboard, you will need to select blank dashboard, which will a dashboard from scratch today, we offer the following types of data sources to connect with your dashboards iris+ crowd statistics rules this selects data from cameras that collect crowd statistics iris+ people counting rules this selects data from cameras that collect people counting statistics iris+ traffic statistics rules this selects data from cameras that collect traffic statistics iris+ health events this selects data from cameras that have generated health events or alerts iris+ events this selects data from cameras that have generated real time events these data sources are derived from all histories of events and statistics that have occurred from your cameras and devices within the past 30 days to properly generate data in the dashboards, it is recommended that you select a data source with cameras configured with the same statistics or events for at least a minute you can connect your dashboard to more data sources from this list after its creation create a heatmap dashboard available on 12 aug 2025 lastly, a heatmap dashboard is a templated dashboard that shows information about the frequency of people dwelling in certain hot spots of a monitored area how is this different than a regular templated dashboard? unlike templated dashboards, a heatmap dashboard only shows heatmaps in each monitored area that runs the people counting rule this is the only dashboard option currently in insights that does not allow for customization or editing, meaning you cannot add any additional types of widgets to it creating a heatmap dashboard like the other dashboards, you will first need to create a new dashboard when creating your new dashboard, scroll down to the option "heatmap" in the data source drop down field this will display the option to create a heatmap dashboard click on the heatmap option in the template section, then click the save button once you complete this step, a heatmap dashboard will be generated initially, you will see the heatmap dashboard attempt to load at this point, you will need to adjust the following selection of cameras in the camera tree select the specific camera in the dashboard you will notice that at the top of the dashboard, the rendering progress is at zero you must select a specific camera in the dashboard to properly generate a series of heatmaps once you've selected one of the cameras, a series of heatmaps will be created across several dwell times examples of insight dashboards below you can find a list of example dashboards that can help you get started example basic crowd statistics dashboard in a graph chart to create a basic crowd statistics dashboard, create a graph by selecting the following functions in order be sure to click save at this point to lock in the fields you have just set up lastly, go to the time range selector and select a time range that best fits the duration of time you need in this example, we will use the range last 7 days to show the average crowd count across each camera for the last 7 days example basic object counting dashboard via line crossing in a graph chart to create a basic object counting dashboard, create a graph by clicking on the same graph chart option then, select the gear icon and configure the following fields once completed, your graph should look similar to this over the course of a 30 day range example basic vehicle statistics dashboard in a graph chart to create a basic vehicle statistics dashboard, select iris+ traffic statistics as your data source first then, click on the same graph panel option, followed by the gear icon when hovering on the blank panel then, set the binding fields as follows add values traffic type (count) add argument stop time, with group interval week year series traffic type this creates a view of a graph that showcases the types of vehicles detected across cameras by the week the date displayed on the x axis shows the date that starts at the beginning of the week example show the latest value of events created in card chart start by creating a new card panel with the data source iris+ events selected then set the fields in the following manner this will then create a view of cards based on the rules name set, showing both the latest count reported versus a show of count over time top left number shows the current count reported, middle label shows the rule name, and lastly the sparkline is showing the counts reported overtime example basic pivot table of crowd statistics to create a basic pivot table with the crowd statistics data source, select the pivot table option then, set the fields in the same manner shown here once you have set this up, the pivot table should start populating information if there are any available view an insights dashboard each account will have a default insights dashboard, created by us to allow you to play and interact with a dashboard for the first time this is great for customers who are new to bi tools and perfect for those who wish to learn how they can take advantage of data visualization tools to start, locate the insights tab in your account if you do not have access to one, contact your sysadmin or irisity customer support to learn more in this insights tab, you will see a default insights dashboard that has already been created this dashboard can be customized and manipulated to any degree, providing flexibility for those learning the functions for the first time for those that have created a new dashboard, you can access a saved dashboard by clicking on the open dashboard button at the top of the dashboard options this opens a menu list of existing dashboards you can load basic visualization options start by clicking on edit dashboard after creating a new dashboard be sure to click save after you have selected 10 or less cameras in the camera tree once this is done, click on edit dashboard to open up the edit mode in the example above, you can see that we have selected all the dashboards under the folder "statistics" you should also now see options on the left filled with different visualization options the most common options we offer are graph grid sum count panel pie chart scatter chart other miscellaneous options include uploading an image adding text boxes how to set each insights panel each panel will require you to configure at least two fields values arguments these two fields will set one set of data against another if you've ever created a graph in excel, this is a familiar function in the values section click add values this will open up dialogue to select and available value type this value type is dependent to the data source(s) you have selected or added to your dashboard in this example, the data source containing event information has been selected, because in my case i want to see the count of all events that have occurred across time as an argument field, we will now select the argument as camera, because we would like to see the different numbers of events that occurred between different cameras overtime to visualize metric over time, you will need to set at least the argument field to start time, and specify showing the trend per specific time interval once you have applied the argument field, you will now see your first panel populated with the value and fields configured across a duration of time to add a new panel in the same dashboard, simply click on another visualization option and the dashboard will automatically place and size the blank panel in the same view, running through the same exercise we just did but what if you want to add another data source in the same view? managing a dashboard's layout managing a dashboard's layout is very simple all you will need to do in the edit mode is to drag and drop each panel by selecting each panel at a time and moving them around the dasbboard dropping them in the screen will automatically scale the panel to fill the page faqs what if i want to see trends and statistics across all of my cameras instead of just 10 at a time? we are currently working on supporting an all camera single dashboard view, for now please create separate dashboards for each 10 cameras selected do you currently support dashboards for real time data? for now only events as a count is supported in the insights module can i have multiple dashboards brought into the same screen at the same time? we currently do not support multi dashboard views, for now a dashboard can be shown one at a time i see that other options and modes are available in the dashboard, do you have additional guides for those functions? we are currently working on rolling out more guides and educational content around these functions