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>

Step 1: Unbox the appliance which should contain the following items

• Spot IVR Appliance
• 2 x Ethernet Cables
• Power Cord

Note: The serial number printed on the spot sticker will start with “sn”.

Step 2: Finding and connecting to the network where your existing cameras are connected to

Find your cameras and follow the ethernet cord.  It should lead you to a network switch or the back of your existing NVR. 

Once you have found the network switch where your camera is connected, use the ethernet cord provided with the IVR to connect the IVR to the network switch. Plug the power cord into the back of the Spot AI IVR and plug it into an appropriate outlet. 

Note: Make note of the serial number printed on the Spot sticker, it will start with “sn” and will be needed later.

Important: Please be sure to press the power button on the front of the Spot Appliance to power it on. 

Congratulations – you have powered on your Spot AI IVR, found your camera network, and connected the Spot AI IVR to the camera network.

Spot AI IVR Installation Guide

Read Next :

1. Wi-Fi NVR Kits User Manual
2. Tiandy PTZ Cameras installation guide
3. UNV NVR Cloud Upgrading Guide

Step 3: Ensuring the IVR has an internet connection

1. Log in to the Spot AI Dashboard at https://dashboard.spotai.co

2. Navigate to the Configure link at the top of the page and then click on Locations

3a. If the location isn’t created, click on ‘Create a New Location’, enter the location details, and then click Save and Continue.  On the next screen, enter the serial number starting with “sn”, and click Register Appliance.  We provide an example of what the serial number will look like in the text field and you can find it on a sticker placed on your appliance.

3b. If the location is already created, click on Edit, and under Appliances enter the serial number of the appliance that you just installed (starting with “sn”) and click ‘Register Appliance’.

Here’s a quick video walking you through setting up a new location:

If you get two green check-boxes as shown in the image above, you have completed installing the appliance – Congratulations!  

Step 4: If the appliance shows “Not connected”

The “Not connected” message on a freshly started appliance may indicate that there is more than one subnet in your network.  For example, the cameras might have an IP address of 192.168.x.y, whereas other equipment may have an address of 10.0.a.b.  Typically this is seen with having more than one switch in the environment.  In this situation, connect the second ethernet cable to the Spot AI appliance’s second ethernet port (at the back of the appliance) and connect the other end to your router or a switch with outbound internet connectivity.

If you are unsure of how to find your router or a switch with outbound internet connectivity, please contact your network administrator or Spot AI Support.

Once ethernet is connected at both ends, wait for 3-5 minutes for the green checkbox to appear indicating that the Appliance is “connected”.

If it still shows “Not connected”, it may be an issue with the firewall. Use this guide to verify there are no firewall rules that need to be opened.

Step 5: Add cameras.

Important: Please connect all Appliances for the location before moving on to adding cameras.

This will allow the cameras to be automatically load-balanced between all appliances at the location.
Follow Adding a New Camera to the Appliance to add Cameras to your Spot AI Dashboard. 

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

Setting up Dual Network Interfaces

Overview

The appliance comes equipped with two Ethernet ports at its rear. If the first Ethernet link connecting the appliance to the camera network lacks internet access, you can utilize the second Ethernet port to connect the appliance to a different network that provides internet connectivity. This facilitates secure access to camera feeds via the appliance without leaving the cameras exposed to the internet (For an illustration of this, refer to our Recommended Topologies article).

 

Both Ethernet ports on the appliance are interchangeable. It doesn’t matter which port is connected to the camera switch or the internet.

 

Steps to configure Dual NIC

Setting up the physical connections

Step 1: Plug one of the Ethernet ports of the appliance into a network that provides internet access.

Step 2: Connect the remaining Ethernet port of the appliance to the camera network.

• For more information and videos explaining this, check out this article.

If DHCP is accessible on both sides of the Spot appliance, no additional configuration is needed. However, if a static IP needs to be set up on one or both interfaces, refer to this article.

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

NTP Server on the IVR

Overview

Network Time Protocol (NTP) is a protocol that synchronizes the clocks of computer systems over packet-switched networks. NTP is used to ensure that the clocks of all systems on a network are within a few milliseconds of each other. This is important for applications that require accurate timekeeping, such as video surveillance.

The Spot Appliance has a built-in NTP server that can be used to synchronize the clocks of cameras that are isolated from accessing the internet. This can be helpful for the physically isolated topology recommended by Spot AI.

Configuration

To configure NTP on a camera, you will need to do the following:

1. Identify Spot Appliance’s IP address: Obtain the IP address of the Spot appliance.
2. Access Camera Configuration Page: Navigate to the camera configuration page using the Remote Camera Proxy.
3. Update NTP Settings: Locate the NTP configuration settings. Enter the IP address of the Spot appliance as the NTP server.
   • Configure NTP on Spot AI Cameras: For a detailed guide on setting up NTP on Spot AI Cameras, refer to our documentation Configure NTP on Spot AI Cameras.
4. Set NTP Interval: Ensure that the NTP interval is set to a value between 10 and 60 minutes.

Once you have configured NTP on the camera, the camera’s clock will be synchronized with the clock on the Spot Appliance. This will ensure that the time stamps on the video footage are accurate.

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

Guide to Assigning a Static IP Address to Spot IVR

While Spot IVR is pre-configured to acquire an IP address automatically via DHCP (Dynamic Host Configuration Protocol), you also have the option to assign a static IP address manually. This guide will walk you through the process of assigning a static IP address to your Spot IVR, and discuss the advantages and disadvantages of each method.

 

Comparing DHCP and Static IP

Here are the key differences between DHCP and Static IP:

DHCP IP	Static IP
IP is automatically assigned to the device IP may change over time Good for client devices (phones, laptops) where the assigned IP doesn’t matter Requires a router or server providing DHCP IP addresses IP will automatically update if needed	IP needs to be manually configured IP will always be the same Suited for servers where the IP needs to be consistent No DHCP server required If the IP address needs changing, it must be manually updated

 

Steps to Assign a Static IP

To configure a static IP for your Spot IVR, follow these steps:

Step 1: Access Spot IVR’s local troubleshooting page (refer to this article for guidance).

Step 2: Scroll to the “Network Interfaces and Configuration” section at the bottom of the troubleshooting page.

Step 3: Set the IP, gateway, and DNS.

• The static IP address should be in CIDR format, e.g., 172.22.222.5/24, where 172.22.222.5 is the IP address assigned to the IVR and /24 represents the subnet. Contact your Network Administrator for assistance finding an available IP address in your network.
• The gateway is the IP address of the router upstream from the IVR, likely the device that provides your internet connection. In this example, we use 172.22.222.1.
• The DNS server translates human-readable names (like google.com) into machine-readable IP addresses (like 216.58.195.78). Reliable public DNS servers include Google (8.8.8.8, 8.8.4.4), OpenDNS (208.67.222.222, 208.67.220.220), and Cloudflare (1.1.1.1, 1.1.1.2). For redundancy, set two different servers.
• If the static IP is intended for the IVR to access the internet, ensure the DHCP toggle is turned off. If DHCP remains on, the IVR will attempt to use a DHCP-provided IP for internet access, even if there is no DHCP address.
• Public IP addresses cannot be statically configured on the Spot IVR.

Step 4: Save the changes by clicking on ‘Save Configuration’

• It may take a minute or two for the changes to be applied to the IVR. Once enough time has passed, refresh the page to see the new IP configuration.

Note: If a static IP address is configured and DHCP is not toggled off, the Spot IVR will prefer a DHCP IP address over a static IP address when reaching out to the internet and Spot AI Dashboard, even if there is no DHCP address received on that interface.

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

Understanding Camera Discovery Process with Spot IVR

How Spot IVR Discovers Cameras

Spot IVR uses a process called ARP (Address Resolution Protocol) to discover cameras. ARP is a layer 2 networking protocol that is used to resolve IP addresses to MAC addresses. When Spot IVR sends out an ARP broadcast, it is asking for the MAC address of the device with the specified IP address. If the device responds to the ARP broadcast, Spot IVR can then identify the manufacturer of the device.

 

For Spot IVR to be able to auto-discover a camera, they need to be in the same broadcast domain. A broadcast domain is a group of devices that can communicate with each other directly. If the camera is on a different subnet, Spot IVR will not be able to discover it automatically.

 

Once a camera has been discovered, it will be listed on the Spot dashboard. The dashboard will also display the manufacturer of the camera. If the camera is not identified, it will still be listed on the dashboard, but it will be hidden behind a “Show # Other Devices Found” button.

 

The number of ARP broadcasts that Spot IVR sends out depends on the size of the subnet. For example, if your network is a /24 subnet, Spot IVR will send out 253 ARP broadcasts every 30 seconds (254 usable addresses minus which is assigned to the Spot IVR). If your network is a /16 subnet, Spot IVR will send out 65533 ARP broadcasts every 30 seconds. Spot IVR does not send ARP broadcasts for subnets that are /15 or bigger.

 

Here are some additional details about how Spot IVR discovers cameras:

• Spot IVR sends out ARP broadcasts every 30 seconds.
• The number of ARP broadcasts that Spot IVR sends out depends on the size of the subnet.
• For subnets that are /15 or bigger, Spot IVR does not send ARP broadcasts.
• If a camera does not respond to an ARP broadcast, it will not be discovered by Spot IVR.
• If a camera is on a different subnet, it will not be discovered by Spot IVR automatically.

Here are some tips for troubleshooting camera discovery issues:

• Make sure that the camera is connected to the same network as the Spot IVR.
• Make sure that the camera is turned on and that it is configured correctly.
• Try restarting the camera and the Spot IVR.
• If you are still having problems, check out this article: Troubleshooting Camera Discovery Issues

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

Troubleshooting an offline Spot AI Appliance

If your Spot AI Appliance is displaying as registered but disconnected on your dashboard, this signifies that the appliance is offline. Being offline restricts the ability to record live video, review past footage, or integrate additional cameras with the appliance. In order to troubleshoot this issue, we recommend the following steps:

Note: We use Appliance and IVR interchangeably.

1. Power Connection Verification: Ensure that the power cord is properly inserted into the appliance’s rear and is also connected to a functional power outlet.
2. Network Connection Verification: Check that a network cable is securely fastened to the back of the appliance and connected to an active internet source. Ensure the activity lights on both ends of the Ethernet cable are operational.
3. Firewall Configuration: If this is your first time setting up the appliance, review our Knowledge Base article on firewall configuration. Confirm that the correct outbound ports and IPs have been permitted through your firewall.
4. Appliance Reboot: Use the power button to turn off the Spot AI Appliance by pressing it for 1 second. Do not depress the button for more than 3 seconds, and do not pull the power cable to reboot. Wait for 30 seconds before turning it back on. Allow 2-3 minutes for the system to fully reboot.

   Note: a reboot requires on-site presence, as the IVRs cannot be rebooted remotely.

5. Hard Drive Activity Check: If rebooting doesn’t restore the connection, look for the hard drive activity light located near the power button on the appliance’s front. If this light is not blinking or illuminating, reach out to our Support team.
6. ISP Modem and Firewall Reboot: Sometimes the ISP modem will cause issues with the Spot Appliance talking to the internet. This could be due to old modem hardware, misbehaving software, or something else. Rebooting will give it a fresh start and clear out any old cookies or caches.
7. Network Cable Port Switch: If the appliance only has one network connection, remove the network cable from the current port on the Spot AI appliance and insert it into the alternative port (the appliance has 2+ network ports).

The Spot Appliance is online when two green check marks appear on the dashboard.

 

If, after implementing all the recommended troubleshooting steps, your appliance remains disconnected, please contact our Support team. Be prepared to provide the appliance’s serial number, which can be found on a white sticker starting with ‘sn’.

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

Accessing the Spot AI Appliance’s Local Troubleshooting Page

The Spot appliance has a built-in local troubleshooting page that can be used to configure network settings and perform basic troubleshooting. There are a few different ways to access the appliance’s local troubleshooting page.

Remote Access

To connect to the appliance’s troubleshooting page remotely:

1. Navigate to dashboard.spotai.co
2. Click on the Configure at the top of the page
3. Go to Locations on the left menu
4. Select Edit for the location with the appliance
5. Select Appliances on the top menu
6. Select Troubleshoot
7. Make sure the toggle is set to Remote and click Connect to Remote Appliance

Local Access

There are two main ways to connect to the appliance’s troubleshooting page locally:

A. Using the Serial.Local Address

To connect to the appliance’s troubleshooting page locally:

1. Navigate to dashboard.spotai.co
2. Click on the Configure at the top of the page
3. Go to Locations on the left menu
4. Select Edit for the location with the appliance
5. Select Appliances on the top menu
6. Select Troubleshoot
7. Make sure the toggle is set to Local
8. Make note of the appliance’s password in #3 as it will be required to get in
9. Navigate to the URL in #2 where it says “Navigate to https://sn4b-abc123.local/www” by clicking it
10. Once the page comes up, enter the password to access the page

B. Using Static Fallback IPs

If both Remote access and the serial.local address fails, there are unique pre-configured static IPs built into each network interface. To find the IPs configured to the specific appliance:

1. To locate these IPs, follow steps 1-7 under Remote Access and select “Local.”
2. You’ll find “Wire Connection 1” and “Wire Connection 2” listed with two IPs each.
3. The motherboard ethernet port (surrounded by USB ports) corresponds to “Wire Connection 1.” For Spot Business P340, “Wire Connection 2” represents the PCIe card ethernet port below.
4. Note down the IPs listed on the Dashboard.
5. Temporarily adjust your computer’s IP to match the first three octets of the appliance’s static IP and set the fourth octet to be one less. Set the Subnet Mask to 255.255.255.0.
   • Example 1: If the appliance’s static IP is 10.170.50.220, change your computer’s IP to 10.170.50.219.
   • Example 2: If the appliance’s static IP is 192.168.78.70, change your computer’s IP to 192.168.78.69.
6. Finally, try to access the IPs retrieved from the Dashboard using the format: https://[IP Address]/www (e.g., https://10.170.50.220/www or https://192.168.78.70/www).

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

How to check which NVR license and features you have

This article will show you how to check your current IVR license.

1. First login to your Spot AI Dashboard: http://dashboard.spotai.co
2. Once in the Spot AI Dashboard, click on the Maintain tab in the main navigation
3. On the Maintain screen, click on the Appliances tab.
4. From here, if you look at the Appliances screen, your appliances’ serial numbers will be listed in the leftmost column. Find the prefix (the 3–4 characters in the serial number before the dash) and refer to the table below

We hope this article was useful to you, please leave us a comment or feedback as it will help us improve our customer support center.

 

<p>The post Spot AI IVR Installation Guide first appeared on NVR IPCAMERA SECURITY.</p>

Introduction of 5G AI Camera
Milesight 5G AI Pro Bullet Plus Network Camera is our newest member of the 5G Series. Featuring cutting-edge 5G technology, the 5G AI Pro Bullet Plus Network Camera provides a fresh experience of UHD image quality, low latency and fast transmission speed to some scenarios where network wiring is inconvenient. Offering AI deep learning, compact structure and more, Milesight 5G AI Pro Bullet Plus Network Camera builds a whole new world by combining high-tech with high-performance.

This article will introduce the basic configuration of 5G AI Camera, so that you can quickly learn to use our 5G AI Camera.

Read Next : How to use VPN on Milesight Network Camera

Note: For more information about how to set IoT, please refer to Milesight-Troubleshooting-AIoT Camera

2．How to Use 5G AI Camer

1) How to Connect 5G AI Camera

1. If you need to use the 5G network, you can use a SIM card to connect to Cellular for your camera.

Note: 

1) As long as the SIM card is inserted and cellular is enabled, it will consume the data of the SIM card. If there is live video streaming, it will consume more data.

2) 5G AI Camera support 5G, 4G and 3G networks.

2. If you don’t need to use the 5G network, you can connect to the camera through LAN. And PoE are supported for 5G AI Camera.

3. After completing the basic settings of 5G AI Camera, you can access the camera through the Milesight P2P or VPN using 5G network without connecting the network cable.

Note: 

1) If you use the 5G camera for the first time, it is necessary to connect the camera through the network port to access the web page of the camera for basic configurations.

2) For Milesight CMS, M-Sight Pro and Milesight VMS Enterprise, we recommend to add 5G AI Camera through P2P when using 5G networks, which is more convenient and simple.

3) What’s P2P?

P2P technology is convenient, simple, stable and reliable. It does not require a fixed IP address, and the connection of camera through MAC address won’t change because of the network environment. P2P technology is very convenient and practical for the wireless network transmission of 5G AI Camera.

4. Coming Soon: 5G AI Camera can be added and managed on Milesight back-end or Third-party via VPN.

2) Easy Deployment and Compact Structure of 5G AI Camera

3．Compatibility with Milesight Back-end

1) Accessing from Milesight Back-end Software

About Milesight Back-end Software:

² Milesight CMS is a central management system for Milesight cameras and Milesight NVR. It is mainly used to manage and configure multiple devices. With high-efficient management performance, Milesight CMS software offers users a superior administration experience in such centralized system.

² Milesight VMS Enterprise is a professional and intelligent video management software for medium-to-large business projects. Together with Milesight cameras and third-party cameras, it can simplify your video surveillance and fulfill your demands and expectations with rich core functions including Live View, Playback, Recording Export, E-Map, Event Alarm, Smart Search, Al Analytics, and more.

² Milesight M-Sight Pro, a security camera app both for iOS and android, enhances security by providing administrators the flexibility to monitor the the live video from network cameras and NVRs via wireless network.

Note: 

1) For Milesight NVR, it does not support adding or managing 5G camera when using 5G network.

2) Videos from the SD card of the 5G camera can be viewed on the Milesight CMS and M-Sight Pro.

3) VMS Enterprise supports recording surveillance video from 5G cameras to the VMS system.

① Milesight CMS

For Milesight CMS, it supports adding 5G camera via P2P using 5G network, and then the parameter of 5G can be configured.

Step 1: After logging into the Milesight CMS, go to “Management“→ “Devices“→ “Add Devide Manually“, and you can add 5G AI Camera by Mac Address when selecting P2P connection type.

Step 2: Go to “Devices Config“ → “5G Camera“ → “System“ → “Network“ → “Cellular“, You can set the cellular settings and check the cellular status and on CMS as shown below.

② Milesight VMS Enterprise

For Milesight VMS Enterprise, it supports adding 5G camera via P2P using 5G network.

Step 1: After logging into the Milesight VMS Enterprise, go to “Settings“→ “Devices Management“→ “Add Device“→ “Add Manually“, and you can add 5G AI Camera by Mac Address when selecting P2P protocol.

Note: VMS Enterprise does not support 5G and IoT configuration currently.

③ M-Sight Pro

For M-sight Pro APP, it supports adding 5G camera via P2P using 5G network.

Step 1: After logging into the M-Sight Pro, go to “Device Manager“→ “Add Camera“, and you can add 5G AI Camera by Mac Address when selecting P2P protocol. Or you can connect the 5G AI Camera by P2P QR Code.

Note: The P2P QR Code of the 5G AI Camera is activated on the camera Web by default.

4．How to Configure 5G AI Camera

Step 1: Insert the SIM card into the SIM card slot at the bottom of the camera, as shown below:

Note:

① It supports Nano SIM for SIM card slot.

② For 5G camera, the SD card slot is inside the camera, as shown below:

Step 2: After logging into the web, go to “Settings“→ “Network“→ “Basic“→ “Cellular“, you can check the cellular status and set the cellular settings here, as shown below.

Step3: Fill in the information provided by your Internet Service Provider (ISP) to Cellular Settings interface, then click “Save” to access the network successfully.

Note: 

①For some Internet Service Providers, users can access the 5G network by simply inserting the SIM card directly, without additional configuration.

②As long as the SIM card is inserted and cellular is enabled, it will consume the data of the SIM card. If there is live video streaming, it will consume more data.

Please refer to the meaning of the options as follows：

Step4: After connecting to the network successfully, you can check the cellular status information on Cellular Status interface, as shown below.

Please refer to the meaning of the options as follows：

Step 5: Set the schedule, the 5G network will take effect according to the schedule you set.

Step 6: After configuring the cellular settings, you also need to complete other basic configurations of the camera if needed, such as events, recordings, etc.

Note: About How to configure other function, please refer to Milesight Network Camera User Manual.

Step 7: After completing the basic settings of the camera, you can access the camera using 5G network without connecting the network cable.

<p>The post How to Use 5G AI Camera first appeared on NVR IPCAMERA SECURITY.</p>

Description

This article will cover the initial setup of a Dahua AI Camera.

Prerequisites

A Dahua AI Camera:

IPC-HF8242FN-FR

IPC-HF8242FN-FD

IPC-HDW8341XN-3D

Step by Step Instructions

1. Locate your device using the ConfigTool.

2. Select the IE (Internet Explorer) icon to the right of the camera’s listing.

3. You will be presented with the Device Initialization screen.

4. Enter a new password that meets the security requirements:

• At least 8 characters long
• At least one lower case letter : a
• At least one upper case letter : A
• At least one number : 1
• At least one symbol : !

Example: HIgh91!?

Also check the box next to “Email Address” and input your email address in case your forget your password and need to recover it.
Then select “Save”.

5. Enter the username “admin” and your new password you just created to log in to the web interface of the camera.

Initial Setup for AI Recorder

Description

This article will cover the initial setup of a Dahua AI Recorder.

Prerequisites

• A Dahua AI Recorder:

IVSS7024DR

IVSS7016DR

IVSS7008

Step by Step Instructions

1. Start up your AI Recorder for the first time. Read through the Device Software Usage License Agreement.
When you are done reading through the License Agreement, check the box next to “I have read and accepted the items”.
Then select “Device Initialization”.

2. Enter a password for the administrator account in the password field.
Make sure the password meets the minumum requirements:

• At least 8 characters long
• At least one lower case letter : a
• At least one upper case letter : A
• At least one number : 1
• At least one symbol : !

Example: HIgh91!?

Confirm the password by re-entering it in the second password field.
Then select “Next”.

3. If you want to set up a recovery email address that can be used if you forget your password, toggle on the switch next to “Email (To reset password)” and enter your email address in the field below.
If you want to set up security questions that can be used to recover your password if you forget it, toggle on the switch next to “Security Questions” and fill out the 3 security question. You can change the questions by selecting each one and choosing another from the drop-down.

4. This screen will notify you that you have finished the initial steps of setting up the AI Recorder.
Select “Enter Quick Settings” to continue the setup process.

5. To set the date and time, either select “Manual Setting” to set the time manually or select “Sync with Internet Time Server” to have an external time server sync the time for you.
If you want to manually set the time selet the field next to “Date/Time” and type in the date and time or select the calendar icon next to it to choose the date and time from a calendar menu.
You can also select “Sync with your PC Time” if you are setting up your AI Recorder from a PC.
If you want to automatically sync the time with a time server, type in the url of the server in the “Server” field. Then type in the interval of how often the time syncs in the “Auto Sync Time Interval” field.
You can change the format of how both the date and time are displayed by choosing options from the drop-down menus next to “Time and Date Format”.
Set the time zone you are in from the drop-down menu next to “Time Zone”.
Select “Next”.

6. Use this menu to modify the network settings on the AI Recorder. If you want to modify the TCP/IP information on any or all of the network ports of the AI Recorder, select the edit button, under “Operate”, next the port listed.
If the TCP/IP settings are already set to your desired settings, skip to Step 8.

7. Either select “Use Dynamic IP Address” to have the router/modem choose the IP address for the network card on the AI recorder, or select “Use Static IP Address” to manually modify the TCP/IP settings.
If you selected “Use Static IP Address”, type in the IP Address, Subnet Mask, Gateway, and MTU as desired.

8. Repeat Steps 6 & 7 for as many network cards on the AI Recorder as you would like.
Either select “Obtain DNS server address automatically” to have the router/modem choose the DNS server or select “Use the following DNS server address” to manually change the DNS server addresses.
If you selected “Use the following DNS server address”, type in the prefered DNS server address and the alternate DNS server address.
Select “Next”.

9. If you would like to use the P2P server for remote access of the AI Recorder without having to use port forwarding, toggle on the button next to “P2P Access”.
You can scan the left QR code on your mobile device to download the mobile application. Then once the app is downloaded and installed, you can use the app to scan the right QR code to add the AI Recorder.
Select “Finish” to finish the setup of the AI Recorder.

10. You have successfully setup your AI Recorder.

Add Dahua Camera to AI Recorder

Description

This article will cover how to add a Dahua Camera to an AI Recorder

Prerequisites

• A Dahua Camera
• A Dahua AI Recorder:

IVSS7024DR

IVSS7016DR

IVSS7008

Step by Step Instructions

1. From the main screen of the iVSS system, select the gear icon at the top right.

2. Select “Device” from the list of Applications.

3. Select “+ Add” at the bottom left.

Smart Add a Dahua Camera

4. Select the “Smart Add” tab in the Add Device window. Then select the “Start Search” button to search for Dahua cameras connected to the same network.

5. After it is done searching for devices, put a check mark in the box next to the Dahua camera you want to add to this recorder. Then select the “Add” button at the bottom.
(You can select multiple cameras to add at the same time by checking the boxes next to each camera in the list.)

6. Wait as the camera is added to the recorder. If it fails to connect, double click on the username and password sections to change the login credentials to the credentials for that camera.

7. Once the camera has been successfully added, the status will change from “Connecting” to “Added”.
Select “Finish” if you are done adding cameras or select “Continue to add” to go back and add more cameras.

NOTE: If you have issues adding a camera through Smart Add or don’t see your camera in the list, proceed to the Manual Add section below:

Manual Add a Dahua Camera

4. Select the “Manual Add” tab in the Add Device window. Then select “Add Device”.

5. Double click on each field to manually change the IP Address, Username, Password, and port for the camera you are trying to add.
Then select the “Add” button.

6. Wait as the camera is added to the recorder. If it fails to connect, double click on the different fields to adjust the settings.

7. Once the camera has been successfully added, the status will change from “Connecting” to “Added”.
Select “Finish” if you are done adding cameras or select “Continue to add” to go back and add more cameras.

Create Face Database

Description

This article will cover how to create a Face Database for facial recognition on a Dahua AI Recorder

Prerequisites

• A Dahua AI Recorder:

IVSS7024DR

IVSS7016DR

IVSS7008

Step by Step Instructions

1. From the main screen of the iVSS system, select the plus “+” at the top.

2. Select “File” from the Applications menu.

3. Select “+ Create” at the top.

4. Enter the name of the Face Database you are creating. Then either select “Save and close”, if you just want to create an empty database, or “Register Face ->”, if you want to add at least one face to the database as you initialize it.

5. If you selected “Register Face ->” in Step 4, you will be presented with this screen. To manually add one face at a time, select “Manual Add” at the top. To batch add, select “Batch Import” at the top and skip to Step 8.
Select the image plus icon on the left to search your file system for a picture of the person’s face. (Face image requirements: File size – <=256KB; Resolution range – 200×200-6000×5000)
Fill in the information about this person on the right.

6. Either select “Save and continue to add” to add more faces to the database before you finish initializing it, or select “OK” to initialize the database with just this face.

7. Once you have successfully initialized the Face Database you will see all the faces you have registered on this screen.

8. If you want to batch import more than one face at a time, either select the “Batch Import” option when creating a database (See Step 5 above), or select “Batch Import” from the database page (see Step 7).
Select “Upload Files” in the center to search your file system for multiple image files to import. You can select multiple at a time.
Make sure the images of the faces have the naming format listed to auto populate the information about each face.

9. Select “OK” when you are done, to import all the face images.

Add Face to Database

Description

This article will cover how to add a face to an existing Face Database for facial recognition on a Dahua AI Recorder

Prerequisites

• A Dahua AI Recorder:

IVSS7024DR

IVSS7016DR

IVSS7008

• An existing Face Database:

Create An AI Face Database

Step by Step Instructions

1. From the main screen of the iVSS system, select the plus “+” at the top.

2. Select “File” from the Applications menu.

3. Double click on the existing Face Database.

4. Either select “+ Manual Add” to add 1 new face to the Face Database (and continue to Step 5) or select “Batch Import” to add multiple new faces to the database (and continue to Step 7).

5. Select the image plus icon on the left to search your file system for a picture of the person’s face. (Face image requirements: File size – <=256KB; Resolution range – 200×200-6000×5000)
Fill in the information about this person on the right.

6. Either select “Save and continue to add” to add more faces to the database, or select “OK” to just add this one face.

7. If you want to batch import more than one face at a time select “Batch Import” from the database page (see Step 4).
Select “Upload Files” in the center to search your file system for multiple image files to import. You can select multiple at a time.
Make sure the images of the faces have the naming format listed to auto populate the information about each face.

8. Select “OK” when you are done, to import all the face images.

Add Trigger or Alarm Based on Face Recognition

Description

This article will cover how to add a trigger or an alarm based on facial recognition on an AI Camera or Recorder

Prerequisites

• A Dahua AI Recorder:

IVSS7024DR

IVSS7016DR

IVSS7008

Step by Step Instructions

1. From the main screen of the iVSS system, select the gear icon at the top right.

2. Select “Event” from the list of applications.

3. Click on the drop-down arrows to the left of the recorder’s serial number to see the list of devices. Then select the camera you want to use from the list.

4. Select “Face Detection” from the AI Plan list.

5. Flip the toggle next to “Enabled” to turn on Face Detection. Then select “Save”.

6. Once the changes are saved it will say “Successfully Operated” at the top right.
Select “Face Recognition” from the AI Plan List.

7. From the Face Recognition page, you can either set up Facial Recognition alarms via the AI built into the camera or AI built into the recorder.
If you want to set up Facial Recognition using the AI built into the camera, continue to Step 8.
If you want to set up Facial Recognition using the AI built into the recorder, continue to Step 14.

8. Select the drop-down menu next to “Deployment Time” to choose the schedule you want the Face Recognition on the carmera to be active on. If you already have a schedule set up, skip to Step 12.
If there is no schedule or you want to make a different schedule, select “Add Schedule”.

9. In the Schedule menu, press the plus “+” button to create a new schedule.

10. Type in the name of the new schedule.

11. Drag and adjust the start and end times of the schedule on each day of the week. You can also select the schedule on a day and delete it if you don’t want anything scheduled that day.
When you are done making changes, press “Save”. Once the changes are saved, select the “Event” section at the top to go back to the Face Recognition alarm settings.

12. Make sure the toggle next to “Enabled” is switched to On and the schedule you want is selected in the “Deployment Time” drop-down.

13. Select “+ Actions” to see all the actions that can be performed when a face is recognized. The options are “Record”, “Snap”, “Buzzer”, and “Log”.

Select “Record” from the Actions drop-down if you want the system to start recording a specific camera’s feed when a face from the database is recognized.
You can select the “Device” drop-down menu to choose which camera’s video feed is recorded when this is triggered.

Select “Snap” from the Actions drop-down if you want the system to take a snapshot image from the camera’s video feed when a face from the database is recognized.

Select “Buzzer” from the Actions drop-down if you want the recorder to make a buzzing/beeping noise every time a face from the database is recognized.

Select “Log” from the Actions drop-down if you want the system to save the information in a log.

When you are done selecting which actions you want to be activated when a face from the database is recognized, select “Save”.

14. Select “AI By Device” to set up Facial Recognition using the AI built into the recorder.
Select the drop-down next to “Deployment Time” to choose the schedule you want the Face Recognition on the recorder to be active on.
If there is no schedule or you want to make a different schedule, select “Add Schedule” and go back to Step 9.
Select “+ Associate Face Database” to choose which face database to use for the facial recognition.

15. Adjust the slider next to “Similar” to choose the percentage of similarity between faces in the database and scanned faces to trigger the alarm event.
Select “AI Alarm Rule” to choose the color that highlights faces that trigger the alarm.
Select “Show Feature Panel” to turn on or off the panel that shows all the features of the faces that are recognized for this alarm event.
Select “+ Actions” to choose which actions are triggered when a face is recognized by the recorder.
(See Step 13, for an explanation on what all the actions do when triggered.)

16. If you want to turn on Stranger Control Mode, which labels all faces that are detected but not recognized from the database as Strangers, turn on the toggle next to “Stranger control mode”.
You can then adjust the alarm rule highlight color with “AI Alarm Rule”.
You can turn on or off the feature panel that shows all the features of the face next to the face detection image by toggling on “Show Feature Panel”.
You can also choose an action to be triggered when a stranger is detected by selecting “+ Actions” and choosing an action to be triggered.
(See Step 13, for an explanation on what all the actions do when triggered.)

17. When you are done making changes to Facial Recognition using the AI built into the recorder, select “Save” at the bottom.
Once the changes are saved it will say “Successfully Operated” at the top right.

<p>The post How to setup and use AI camera first appeared on NVR IPCAMERA SECURITY.</p>