How do I integrate Hanwha IP cameras and SUNAPI with Immix?

Summary

This article details the steps to integrate Hanwha IP cameras and SUNAPI with Immix.

Integrate Hanwha with Immix

To begin the integration, a suitable port for Immix must be located.

NOTE: These are default ports only (they can be configured and may be
different to what is listed).

To find ports in Immix:

Configuring Users in Hanwha Vision for Immix

To configure users:

Video Profile

The integration has capabilities to switch between different video profiles. To switch between profiles:

Configuring a Hanwha IPC SMTP Alarm

To configure the alarm into Immix:

S# – represents the ServerID.
A# – represents the Input of Response.
E# – represents the Event Number associated with the Server Type,
e21 is defaulted to IPC Object Detection.

IPC Email Example

Subject: ObjectDetected

Sendor: S29.a1.e21@ImmixAlarms.com To: S29.a1.e21@ImmixAlarms.com

Date: 20240514-12:03:47XMailer:NFMail

https://support.immixprotect.com/hc/en-us/articles/25738891242395-Hanwha-IP-Camera-SUNAPI-Integration 4/7
XMailer: NF Mail MIME-Version: 1.0 Content-Type: multipart/mixed; boundary=594786580.1111.samsungipolis.com –594786580.1111.samsungipolis.com Content-Type: text/plain; charset=”iso-8859-1″ Content-Transfer-Encoding: 7bit ObjectDetected Time : 20240514-12:03:47 Camera IP : 192.168.1.166 Event Type : EventRule_5_CH1 –594786580.1111.samsungipolis.com Content-Type: application/octet-stream; Content-Transfer-Encoding: base64 Content-Disposition: attachment; /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDABQODxIPDRQSEBIXFRQYHjIhHhwcHj0s LiQySUBMS0dARkVQWnNiUFVtVkVGZIhlbXd7gYKBTmCNl4x9lnN+gXz/2wBDARU

Enabling Digest Auth

If you are having trouble using GetConfig, enable Digest Auth for your Hanwha user.

The image below shows where to enable this:

NOTE: Ensure that the user is Admin or Full user permissions. You must
create an Immix user and assign them as an administrator. A default
admin account cannot be used.

Configuring a Hanwha IPC SMTP Event

To configure the system-based events into Immix:

Obtaining the S Number

To obtain the S number:

Configuring Devices within Immix

To configure a device within Immix:

Obtaining the ID of a Camera for Use in the Extra Value

To obtain the ID of the camera:

SSL Error Alarms

By default, the alarm receiver is configured to disallow insecure connections. To allow connections to insecure devices (no SSL, invalid cert, etc.), change the RequireCertificate config key in appsettings.json to false.

Alarms Not Decoding

By default the alarm JSON messages are saved in the file store in the same folder as any alarm footage. To diagnose decoding issues, confirm that this message is what is expected. A typical alarm message looks like the following snippet. Alarm messages always have the broadcastAction alarm.

{
“Tran”: {
“Command”: “broadcastAction”,
“Params”: {
“Params”: “eyJhY3Rpb25JZCI6InthYWNiMjdmOC1lYTcwLTRlOGEtOGE1YS03YjZiNzk5ZTliMGR9IiwiYWRkaXRpb25hbFJlc291cmNlcyI6WyJ7MDAwMDAwM
“RuntimeParams”: “eyJkZXNjcmlwdGlvbiI6Il90aHVtYl9kb3duIiwiZXZlbnRSZXNvdXJjZUlkIjoie2RhZWU5ZWIyLTEyZDYtZTUwNy00Y2MxLWM4ZmUxNG
}
}
}

A second approach is to review the service logs, as all messages (even non-alarm messages) are logged there.

How to use Wisenet cameras with exacqVision

Summary:

This article provides information on using Wisenet cameras with exacqVision.

Step By Step Guide:

Wisenet Camera Settings

Mandatory

The following settings are mandatory:

Optional

The following settings are optional:

After Adding to exacqVision

exacqVision defaults to using the Hanwha default H.264 stream (profile 2) but can be changed to H.265. This changes exacqVision to utilize the default H.265 stream on the camera (profile3).

NOTE: It is not possible to set h.265 via exacqVision on a fisheye camera.
You need to log in to the camera interface and manually change the FISHEYE
profile to H.265.

To change the default stream to H.265:

1.Navigate to the exacqVision Camera Settings page and click the Recording tab.
In the Rate Control field, the default is Constant Quality which equates to Variable Bit Rate in Hanwha cameras.

The Quality slider default of 2 sets a low cap.
1 = minimum VBR cap for that stream
10 = maximum VBR cap for that stream
For 4MP+ resolution cameras it is beneficial to increase the quality to 3 or 4; otherwise, the video may be compressed too much thus decreasing quality.

2.If needed, select a stream to add from the Multistreaming dropdown menu and click Add Stream.

NOTE: With high-resolution cameras, it is best practice to create lower
resolution live viewing streams to save on decoding and bandwidth. These
streams can be added in exacqVision on the Camera Settings page.

3.Click the Motion tab to edit motion on the camera (although exacqVision does not have all the options available that are in the Hanwha cameras).

NOTE: It is possible to add motion, including windows, without adding\
multiple points to create unique shapes.

4.Click the Analytics tab to see several options for displaying and recording data.

5.If the camera is a fisheye, click the Digital PTZ/Fisheye tab to configure the proper dewarp code.
a. Select Immervision from the first dropdown menu.

b. Select the proper code from the second dropdown menu.

Refer to the following article for Hanwha Fisheye Lens Codes: Immervision Fisheye Dewarp Lens Codes

c. Select how the camera is mounted for proper dewarping from the third dropdown menu.

NOTE: Many of Hanwha’s fisheye cameras can use additional camera side dewarp
channels. These should be created first before the camera is added to
exacqVision, so they are identified and configurable inside of exacqVision.
These channels have no motion detection so they either need to record 24/7
or be used for live video only.

NOTE: The Video tab does not exactly match what is in the camera.

Brightness = Brightness
Contrast = Contrast
Saturation = Color Level in the camera
Wide Dynamic Range = controls SSDR in the camera
Video Mask = controls the camera’s Privacy Areas

Searching AI Metadata

To search AI metadata:

1.From the exacqVision home page, click the Search () icon in the top left corner of the screen.

2.Expand the camera tree then select the camera and the analytic metadata associated with it.

3.Select the Search Range to search for then click Search.

4.Click the Paper () icon to view the raw metadata.

A pane to the right of the video will appear with the raw data of that time.

5.Check the Show Filters checkbox to filter data.

6.In the pane to the left of the video, check the checkboxes to filter.

7. Click Save then click the Search button again.

NOTE: Save filters can be selected from the dropdown menu at the top.

8.If certain overlays for the metadata need to be hidden, click the Green () icon and select which overlays should be hidden.

Creating Events Based on Analytics

NOTE: The analytics must be configured in the camera first. Once done and the
camera is added to exacqVision, disable and re-enable the camera.

To create events based on analytics:

Monitoring Analytic Events

To monitor analytic events, follow the steps in the Creating Events Based on Analytics section. However, use Event Monitoring instead of Event Linking.

Special Considerations

Take the following into consideration when setting up a camera:

Optional Common Camera Settings

The following camera settings are optional:

Verint recorders using different FPS for normal and event recording

Summary:

When a Hanwha camera is registered to a Verint NVR, the use of different FPS can be engaged on the NVR

Explanation of Behavior:

Resolution:

• Firmware can be easily updated via the NVRs web interface, the NVRs monitor/mouse interface, Wisenet Device Manager, or Wisenet Viewer. The process takes approximately 5 minutes.

• The way Verint operates is that the recorder will dictate the camera’s FPS, and changing the video profile on the camera, by default, momentarily drops and reestablishs the connections.

How to add a Wisenet camera to Genetec Security Center 5.9

Summary:

This article provides instructions for adding a Wisenet camera to Genetec Security Center 5.9 and the additional steps needed if the camera has a fisheye lens.

Step By Step Guide:

To add a Wisenet camera to Genetec Security Center 5.9:

1.Open Wisenet Device Manager.

2.Double-click your camera to load the camera’s webpage.

3.Enter and confirm your new password, then click Apply.

NOTE: If a password has already been configured and you need to default
the camera, press and hold the Reset button for 5-10 seconds.

.

4.From the Genetec Config Tool application, click the Video icon.

5.Right-click Archiver and select Unit enrolment.

6.Click Manual add then select Hanwha Techwin from the Manufacturer dropdown menu, select Wisenet from the Product type dropdown menu, and enter the IP address of the camera.

NOTE: You can find the IP address of the camera in the Wisenet Device
Manager results screen. Click Add and close to enroll the camera.

TIP: If you see a Bad logon error, move your mouse over the text and an Add button will appear.

Enter the username and password of the camera then click the Add button.

After a few moments the status should change to Added.

.

NOTE: Sometimes the status in Genetec sticks on Bad logon. To resolve this
issue, click Clear All at the bottom of Unit enrollment and add the camera
again. The camera has now been added to Genetec Security Center 5.9.

Configuring a Fisheye Camera

The following additional steps are required if the camera has a fisheye lens:

1.From the Video tab, select the newly added camera under Archiver then click Hardware and edit the Lens type.

2.Select your Camera position from the dropdown menu.

NOTE: Genetec may not automatically pick the correct lens type and
could fail to calibrate.

3.Select the correct Lens Type from the dropdown menu.

4.Click Ok and Apply at the bottom of the page to save changes.
The fisheye camera settings are now complete.

Viewing the Newly Added Camera

To view the newly added camera:

1.Open the Security Desk application from the Windows Start menu.

2.Log in and and select Monitoring.

3.Double-click the newly added camera to see live video.

4.Use the scroll wheel on the mouse or click the Viewing Mode icon to manipulate the image.

Genetec – Adding a Hanwha Camera to Genetec 5.7 or later

Summary:

This article will provide a step-by-step guide for adding a Wisenet camera to Genetec.

Step By Step Guide:

1. Open the Config Tool (Figure 1)

Figure 1

2. Click on the green plus symbol (Figure 2)

3. Select Video Unit (Figure 2)

Figure 2

4. Select Hanwha as the manufacturer (Figure 3)

5. The IP Address can be a single device or a range of devices. (Figure 3)

6. Provide the proper credentials and click “Add and close” or “Add.” Then, repeat for further units. (Figure 3)

Figure 3

7. Once added to the system, you will be able to view the stream from the Video Unit (Figure 4)

Figure 4

How do calibrate a Hanwha Fisheye Camera for use on a Genetec VMS?

Applies to Models: XNF, SNF, and QNF Series Cameras

Summary:

This article describes how to add a Hanwha Fisheye camera to Genetec, by set a lens code and calibrate the camera.

Note: The lens code will be determined by the model.
See this article for a complete list of codes.

Step By Step Guide:

1. Open the Config Tool, go to Video Unit.

2. Select the Video Unit in question.

.

3. Select the Hardware Tab of the Fisheye camera to be configured.

4. Set the Lens Type to Panamorph.

.

5. Click the Pencil to the right of the Panamorph dropdown.

.

6. Set the orientation to either ceiling or wall.

7. Select the proper Lens Type  from the list (See De-warp Code article link below.)

8. Click calibrate once the code is registered.

Note: If it fails check the motion detection tab for an improperly configured Event or
Motion Schedule.

Click here for Immervision De-warping codes

.

<p>The post How to use Wisenet cameras with 3rd party VMS first appeared on NVR IPCAMERA SECURITY.</p>

FLEX AI: Get started

Summary:

FLEX AI enables you to enhance camera capabilities, enabling them to detect and track previously unidentifiable objects. While many cameras can detect and track people and specific vehicle types, it is a different matter identifying shopping carts, forklift trucks, hovercrafts, or items on a conveyor belt.

With FLEX AI you can create custom object detection models for solid objects that can then be deployed to cameras, enabling you to detect objects that standard analytics does not already detect.

It is a cloud-based application, and its results are compatible with deployment to P-series AI cameras.

How it Works:

FLEX AI operates on a subscription-based model, granting users comprehensive access to train, process, and download custom detection models for end customers. However, the allocation of licenses requires a careful consideration of each end customer, with a separate FLEX AI license needed for each one. This process is typically managed by a STEP Partner, who oversees the distribution of licenses to ensure effective deployment.

For actual deployment onto cameras, FLEX AI uses a perpetual licensing system, distinct from its subscription model. Each camera necessitates its own perpetual license to run FLEX AI models effectively. This approach ensures that users can deploy and utilize the models on their cameras without the constraints of a subscription-based licensing system.

In terms of training models, FLEX AI currently supports the MP4 format or tagged WAVE Sync videos for training.

NOTE: Each project can only train one model.

Camera Compatibility:

Refer to the following article: Which Cameras are Compatible With FLEX AI

Note: Each camera can only run one FLEX AI model, although it may run in parallel with WiseAI.

The FLEX AI Flow:

The general process is as follow:

FLEX AI: What do I need to train a model with FLEX AI?

Summary:

This article covers what you need to build effective models with FLEX AI.

Training Requirements and Recommendations:

NOTE: After you click Train, the data you have created is sent to the cloud and
the algorithm is trained to detect your object. This process can take anywhere
from 30min to 1 hr and depends on the number of training images you included.

Performance Issues:

The following may cause object detection to have performance issues:

Camera Recommendations

Limitations:

FLEX AI has the following limitations:

Processing Times

FLEX AI: How do I create and manage FLEX AI projects?

Summary:

This article provides instructions for creating and managing FLEX AI projects.

Step By Step Guide:

Creating New Projects

To create a new FLEX AI project:

1. On the Project screen, click the plus (+) button to create a new project.

2. Name your project after the detection type.

NOTE:
Project names must be unique.
Each project can only consist of one object detection type.

Managing Projects

Here is an example of multiple projects being worked on in parallel.

To search for a FLEX AI project:

Existing projects will indicate their current status:

FLEX AI: How do I add a video clip for FLEX AI usage?

Summary:

This article describes the process for uploading training video clips to train a FLEX AI model.

Step By Step Guide:

Uploading a video

NOTE: The Video Library drawer can be expanded and collapsed by clicking the arrow.

Pulling bookmarked videos directly from WAVE Sync

NOTE: First tag WAVE Sync bookmarks with “flex_ai” to make them to appear in FLEX AI.

Tagging WAVE Sync videos

1. Sign in to your WAVE account.

2. Add a bookmark.

3. Tag your bookmark with “flex_ai”.

Importing WAVE Sync clips

1. Click WAVE Sync and enter your user ID and password.

2. Select your system from the dropdown menu.

3. Select the checkbox for each WAVE Sync Bookmark you would like to import.

Recommendations

FLEX AI: How do I annotate objects?

Summary:

This article describes how to move through a training video and mark objects. The goal is to take a video clip and pause at several points in the video and annotate objects (draw boxes around) you are teaching FLEX AI to detect.

Step By Step Guide:

Annotating objects

1. Pause the video on any frame that contains the object of interest.

2. Draw a detection box around every instance of the object. There can be multiple instances of an object and each instance should have its own detection box.

3. Click the Tighten button (or the keyboard shortcut T) to resize the detection boxes.
This means you can save time by roughly drawing the boxes and then tightening.

Step 1: Roughly draw a box around the object
Step 2: Click the Tighten button (or press T) to quickly get you close
There will be times that FLEX AI does not properly capture the true edges of the object, that’s why the application allows you to readjust the edges of the box. Step 3: Drag the edges/corners of a detection box to finely edit.

4. To remove a detection box, select the appropriate box and click the Delete key on your keyboard.

5. Click Save (or the keyboard shortcut S) to save the marked detection boxes.

6. Once you have drawn the necessary detection boxes, click the Train button. Your project will be unavailable during the training period which typically takes 15 to 30 minutes depending on the number of annotations.

NOTE: Since training is done in the cloud, you can work on any number of other projects
while a project is training.
.

NOTE: The blue detection boxes also appear in the This Frame’s Detections area after you
save. It is recommended that a minimum of 50 detection boxes be defined before your
initial object training is complete. An AI model can include detection boxes from
multiple video clips.

Keyboard shortcuts

You can save time and effort when navigating video, marking, tightening and saving annotations, by using the keyboard shortcuts below.

FLEX AI: How do I improve my object detection model?

Summary:

This article covers improving the AI Object Detection model of your uploaded videos. This process will result in more accurate detections, fewer false positives, and fewer false negatives.

Step By Step Guide:

To improve the AI Object Detection model:

1.Click the Improve button (towards the top right of the video player) after you have reviewed the latest model.

2.Select a video to start.
FLEX AI will suggest the top 10 frames crucial for highlighting your object(s) to enhance your object detection model. Markers represent each frame the application is asking you to revisit.

3.Draw a detection box around every instance of the object.
Remember to save your detection boxes.

4.Click the Object Not Present button (towards the bottom right of the video player) if the object of interest is not in the frame.

5.Use the arrows or the orange dots to advance to different/suggested frames.

6.Complete all 10 suggested frames and repeat for all videos to be included in the next training.

7.Click the Add More button to manually look through the video and add detection boxes, if the suggested frames are not enough (ex: different angles and perspectives are needed in the training set).

8.Click Train when you are ready.
The current limit for a (1) year license is to have a maximum of (100) total trainings or improvements.

NOTE: All 10 suggested frames must be completed per video for them to be included
in the training. Detection boxes on any video where all 10 frames are not marked
will be discarded and not included.

FLEX AI: How do I review and download my FLEX AI model?

Summary:

This article covers reviewing the AI Object Detection model of your uploaded videos.

Step By Step Guide:

To review your uploaded videos:

1.Click the Ready to View button to select your trained AI model results video.

2.Adjust the confidence level slider (towards the top right of the video player) to view the identified objects that meet your specified minimum confidence level.

The following model has been trained only once, so there is no option to compare.

3.After training the AI model more than once, click the Single/Compare Player toggle to change your view from side-by-side video player to single video player.

The following model has been improved, so both the previous (left) and current (right) can be compared. We can already notice the newer model is performing better.

For tips on improving detection accuracy, refer to the following article: How do I improve my object detection model in FLEX AI?.

4.Click the Download button (towards the top right of the video player) when you feel the model has been trained to your preferences. The model can then be uploaded to a camera.

5.Upload your newly trained model to your target camera.
Refer to the following article: How do I upload a FLEX AI model to a camera?

NOTE: Downloaded AI models can be deployed to a camera via Device Manager/Wise Detector.

FLEX AI: How do I upload a FLEX AI model to a camera?

Summary:

This article describes how, after training a FLEX AI model, you can download it, and then upload it to a compatible P-Series AI camera.

Note: For simplification, the term ‘model’ refers to a ‘custom object model’.

Requirements:

NOTE: A FLEX AI model cannot run concurrently with a Hanwha Vision AI Pack.
Any existing AI Pack must first be uninstalled from the camera.
However, a FLEX AI model can run in parallel with the WiseAI app.

Step By Step Guide:

To initially upload a Custom Detection Model:

1.Download the model from FLEX AI.

2.Launch Wise AI

3.Go to the Setup tab

4.Choose the Object.tar file you’ve downloaded from FLEX AI.

5.Receive the success message

6.You can now see the model within the list

Also from within the Object Detection from the menu.

You should also see FLEX AI Model below the other object detection options.

To upload a different model:

FLEX AI: Which cameras are compatible?

Summary:

This article lists the cameras onto which an object detection model created using FLEX AI can be uploaded.

Compatibility:

FLEX AI supports the camera models listed below. They are all P series AI cameras which incorporate the greatest processing power required to run the AI models.

<p>The post FLEX AI Setup and Use Guide first appeared on NVR IPCAMERA SECURITY.</p>