RFID: Real-Time Product Tracking

Set up MongoDB Atlas

Cluster Setup

• Select a cloud provider.

• Choose a region.

• Configure cluster specifications (e.g., instance size, storage).

Network Security

• Configure network access.

• Identify IP access list for edge devices and application servers.

• Use user authentication.

• Create a database user with read and write permissions for the inventory database.

Connection

• Obtain a connection string from MongoDB Atlas.

• Use your connection string to connect your application to the cluster.

Configure your project in Xcode

Project Setup

• Open the 123RFID project in Xcode, or open the project using the name you assigned.

• Configure your project settings.

• Add the required frameworks and libraries from the Zebra SDK.

• Configure build settings, including library and framework search paths.

Device Pairing

• Enable Bluetooth on iOS device.

• Pair the RFID reader using the 123RFID app.

Running the Application

• Connect your iOS device to Mac.

• Select the device as target in Xcode.

• Run the application.

Match inventory tags

The getMatchingTagList method in Objective-C compares RFID tags from the current physical inventory with a predefined list of tags, and updates the user interface accordingly. This procedure works as follows:

• Retrieves the current inventory and the predefined tag list.

• Compares inventory tags with the tag list to find matches.

• Removes matched tags from the missing tags list.

• Updates the UI with counts of unique and total tags.

• Stops the inventory operation and confirms a complete match if all tags are accounted for.

Send match confirmation

The sendUrlRequestToFlag method sends a POST request to a specified URL to indicate the result of the inventory check. This process works as follows:

• Initializes a POST request to the target URL.

• Sets the JSON content type header.

• Prepares a JSON payload with inventory check results.

• Sends a POST request and logs the results.

• Displays a warning message based on the inventory check outcome.

Display your inventory checks in real-time

Leverage MongoDB Change Streams for instant notifications and visualize the data using MongoDB Atlas Charts. The code sets up a change stream to monitor new inventory checks in a collection named inventoryCheck.

Below set ChartsEmbedSDK as a variable.

Below set pushToast as a variable.

Verify that real-time notifications and dashboard updates work properly.

Endpoint Setup

• Use MongoDB Change Streams to monitor changes in the inventoryCheck collection.

const startWatchInventoryCheck = async (dashboard, addAlert, utils) => {
    console.log("Start watching stream");
    const runs = await getMongoCollection(utils.dbInfo.dbName, "inventoryCheck");
    const filter = {
        filter: {
            operationType: "insert"
        }
    };
    const stream = runs.watch(filter);
    const closeStreamInventoryCheck = () => {
        console.log("Closing stream");
        stream.return();
    };
    try {
        for await (const change of stream) {
            console.log(change.fullDocument);
            addAlert(change.fullDocument.checkResult);
            dashboard.refresh();
        }
    } catch (error) {
        console.error("Error watching stream:", error);
    }
};

Embed the dashboard

• Use MongoDB Charts embedding SDK to integrate the dashboard into your web application.

• Import the necessary libraries and context.

• Create an instance of ChartsEmbedSDK with your base URL.

• Define and render the dashboard properties into a designated div.

• Start the change stream and handle real-time updates with alerts.

Implement Real-time Alerts

• Display success or error alerts based on the inventory check results using pushToast.

Ensure Integration

• Verify that real-time notifications and dashboard updates work seamlessly.

• Maintain accurate inventory data and respond quickly to discrepancies.