We created a clean, effective, cloud-to-cloud method to get license plate recognition for customers utilizing IPConfigure VMS. Essentially, IPConfigure sends a short video clip over to Plate Recognizer when motion is detected by the VMS software.
Watch our 3 minute video of ALPR for IPConfigure!
We recommend that you create a new UserID for IPConfigure so that you can associate and share the specific cameras for ALPR over to Plate Recognizer.
Step 1.1. After you sign in to IPConfigure Orchid Fusion, click on Users in menu on the left.
Step 1.2. Click the purple Add User button.
Step 1.3. Fill in the appropriate info. You can leave Groups field blank.
Step 1.4. Click on Update User in lower right corner when done.
Step 2.1. Click on Permission Groups in the menu on the left.
Step 2.2. Click on the blue button to Add Permission Group.
Step 2.3. Enter a Group Name, such as “LPR Group” and put in a Group Description of your choice.
Step 2.4. Under Members, add in the UserID that was created in Step 1 above.
Step 2.5. Under Permissions Granted, for Abilities, select All.
Step 2.6. Under Scope, identify and select all the cameras approrpriate for ALPR. In the example, we selected the IP Configure Office LPR Camera.
Step 2.7. Click on Done button.
Step 2.8. Click on Save Group in lower right corner.
Please note that you have to go through all the steps in this section to select and configure motion detection for each camera you wish to integrate with Plate Recognizer.
Step 3.1. Select Servers in the menu on the left.
Step 3.2. Select the appropriate server that contains the cameras that you want to ALPR.
Step 3.3. Under Cameras Registered, select the camera for APLR. In our example, we selected the camera named “LPR Camera”.
Step 3.4. You will now see the details of that particular camera. Click on Motion Detection in the Advanced Settings section.
Step 3.5. In Motion Mask, use the slider to select the brush size and then mask the areas that you do NOT want motion detection.
Step 3.6. Now, select Object Size to trigger motion detection.
Step 3.7. Slide the lever to the approximate size of a vehicle. Please note that the Object Size applies throughout the camera view, not just within the highlighted blue rectangle.
Please note that if the Object Size is too small or not set, then a bird, dog or human passing by may trigger motion detection. This may result in a lot of false positive reads and will lead to a number of unnecessary video clips sent over to Plate Recognizer.
Step 3.8. When done, click to Update Camera.
Step 4.1. Once you have done the above steps for each camera you’d want to integrate into Plate Recognizer, go to app.platerecognizer.com/start/camera-software.
Step 4.2. Click on Activate IPConfigure.
Please note that it may take up to 24 hours for your request to be approved. We only approve requests for users with a valid business email.
Step 4.3. Go to app.platerecognizer.com/activate/ipconfigure/
Step 4.4. Enter the Username and Password from the UserID you created in Step 1 above.
Please make sure Username and Password is the same what you have done in Step 1 above.
Step 4.5. Enter the Country Code(s), such as us-fl for Florida or gb for the United Kingdom. Full Country Codes can be found here.
Step 4.6. Enter the Server URL of the camera. To get the URL, double-click on the URL Address in the browser. In our example, it is demo.ipconfigure.com
Make sure to include the https (or http, depending on your environment).
You can ignore the info after .com. In other words, there’s no need to include /#!/orchids
Step 4.7. Click on Submit.
The best way to view the ALPR results is on ParkPow! Our sister company, ParkPow provides a full ALPR Dashboard and Parking Management solution so you can:
You can optionally use webhooks to forward the ALPR results with your existing application or system.
Step 5.1. Go to ParkPow.
Step 5.2. Click to sign in with your Plate Recognizer account.
That’s it! You’re done!
Able to see LPR results in ParkPow? If not, then make sure to:
If you are still stuck, then Contact Us and include a screenshot of a vehicle passing through the camera.
Let us know and we’d be happy to assist.
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Made with ❤ from Silicon Valley & Budapest.