https://support.camerolla.com/ Wed, 22 Apr 2026 11:43:46 +0000 MyBB https://support.camerolla.com/Thread-Howto-manually-add-Lovense-extension-to-Camerolla Wed, 24 Apr 2024 14:56:25 +0300 sebi]]> https://support.camerolla.com/Thread-Howto-manually-add-Lovense-extension-to-Camerolla
Its been years with the previous versions of the Lovense extension which worked like a charm, but recently the guys at Lovense have made some changes to the extension so that I AM NOT ABLE to provide it pre-installed anymore and also the automatic login inside the extension will not work anymore.

But what is important is that I thrive to give you solutions to use it. So here is a guide about how to do this (though they also have a guide on their website aswell, most probably better than this that I created).
 

1. First, please download the extension (that I also modified a little, in case they will respond to my request to make some changes to re-enable automatic login inside it). Here is the link for download: https://downloads.camerolla.com/Lovense-...31.3.6.zip
   
2. After you have downloaded the ZIP file, extract its contents somewhere on your PC, in a location that will not be deleted by accident by models or whatever
   
3. After this, please follow the steps which are better described by the images bellow, since its easier to explain the process like this:
   

P.S. The address in that bar is chrome://extensions - that is where you manage your installed extensions from camerolla.
P.S.2. If you already have the previous Lovense extension installed there, please remove it first, as you will later add the newest one.

Thanks alot for your input and support.
In case in future the guys at Lovense will make changes so that their extension could also be used as a CRX file, I will make updates to bring back the previous way of doing things, but to be honest, I never had a good communication with them and they are unlikely to respond to my requests.]]>
Its been years with the previous versions of the Lovense extension which worked like a charm, but recently the guys at Lovense have made some changes to the extension so that I AM NOT ABLE to provide it pre-installed anymore and also the automatic login inside the extension will not work anymore.

But what is important is that I thrive to give you solutions to use it. So here is a guide about how to do this (though they also have a guide on their website aswell, most probably better than this that I created).
 

1. First, please download the extension (that I also modified a little, in case they will respond to my request to make some changes to re-enable automatic login inside it). Here is the link for download: https://downloads.camerolla.com/Lovense-...31.3.6.zip
   
2. After you have downloaded the ZIP file, extract its contents somewhere on your PC, in a location that will not be deleted by accident by models or whatever
   
3. After this, please follow the steps which are better described by the images bellow, since its easier to explain the process like this:
   

P.S. The address in that bar is chrome://extensions - that is where you manage your installed extensions from camerolla.
P.S.2. If you already have the previous Lovense extension installed there, please remove it first, as you will later add the newest one.

Thanks alot for your input and support.
In case in future the guys at Lovense will make changes so that their extension could also be used as a CRX file, I will make updates to bring back the previous way of doing things, but to be honest, I never had a good communication with them and they are unlikely to respond to my requests.]]> https://support.camerolla.com/Thread-Why-earnings-are-not-always-being-detected-correctly Tue, 02 Apr 2024 17:22:54 +0300 sebi]]> https://support.camerolla.com/Thread-Why-earnings-are-not-always-being-detected-correctly
Camerolla's earning detection works best if the following conditions are met:

1. the model uses the app and keeps the websites opened (because the earnings detection is happening only when a website is opened, otherwise there is no detection happening)
   
2. the Windows on the computers is installed in English. Country can be set to user's location, but the Windows must be in English. Some websites show-up data in the user interface according to user's timezone and currency settings (for example, 1,354 could mean 1 point 354 or could mean 1 thousands 354, depending on PC settings).
   
3. the browser's settings should also be default
   
4. each website should better BE in English language. If the model changes its interface in some other language, detection will most probably fail. For example xlovecam, if you use ES as language, all earnings will have a different interpretation in the UI. Take a look at my 2 attachments so you can see yourself how things look like in different languages.
   

For example:

• in Spanish, a date is *15/03/24* , earned value is *0,47 €* (using COMMA as decimals separator)
  
• in English, the date is *3/15/24* or "15/03/2024" and the earned value is *€0.47* (using DOT as decimals separator)
  

Camerolla DOES NOT interpret user's interface language. We cannot make it "work" for all websites in their all possible languages and "specifics".

Now, about the detected earnings (as they are), there are 2 things:

• the day's earnings --- which means that 1st march is 1st march of stripchat, of streamate, of chaturbate... according to their timezones AND NEVER 1st march of the model's country.
  
• the shift's earnings, which is a SUM of detected earnings in the shift's timeframe: START and END date. What does it mean is that the shift started at 07:12:22 and ended at 19:22:22 ... whatever earnings have been discovered in this timeframe are SUMMED and BELONG to that shift. But a trainer can manually change the earnings after the model left the studio (or loggedoff) and those correction will never fix the shift's SUM of values.
  

In theory, the data that exists in the first table (the one with the period's days) should match the total earnings as per each website. If doesn't:

• either the app wasn't used continuously and some earnings are missing
  
• either the model received offline earnings after her last login
  
• either the PC's settings (language/etc) are not standard / default and thus the detection is faulty.
  
• either the model has changed website's language from English to some other language
  

Hope this topic will make some things clear for your business.

  xlove-english.png (Size: 45.31 KB / Downloads: 0)

  xlovecam-spanish.png (Size: 47.84 KB / Downloads: 0) ]]>
Camerolla's earning detection works best if the following conditions are met:

1. the model uses the app and keeps the websites opened (because the earnings detection is happening only when a website is opened, otherwise there is no detection happening)
   
2. the Windows on the computers is installed in English. Country can be set to user's location, but the Windows must be in English. Some websites show-up data in the user interface according to user's timezone and currency settings (for example, 1,354 could mean 1 point 354 or could mean 1 thousands 354, depending on PC settings).
   
3. the browser's settings should also be default
   
4. each website should better BE in English language. If the model changes its interface in some other language, detection will most probably fail. For example xlovecam, if you use ES as language, all earnings will have a different interpretation in the UI. Take a look at my 2 attachments so you can see yourself how things look like in different languages.
   

For example:

• in Spanish, a date is *15/03/24* , earned value is *0,47 €* (using COMMA as decimals separator)
  
• in English, the date is *3/15/24* or "15/03/2024" and the earned value is *€0.47* (using DOT as decimals separator)
  

Camerolla DOES NOT interpret user's interface language. We cannot make it "work" for all websites in their all possible languages and "specifics".

Now, about the detected earnings (as they are), there are 2 things:

• the day's earnings --- which means that 1st march is 1st march of stripchat, of streamate, of chaturbate... according to their timezones AND NEVER 1st march of the model's country.
  
• the shift's earnings, which is a SUM of detected earnings in the shift's timeframe: START and END date. What does it mean is that the shift started at 07:12:22 and ended at 19:22:22 ... whatever earnings have been discovered in this timeframe are SUMMED and BELONG to that shift. But a trainer can manually change the earnings after the model left the studio (or loggedoff) and those correction will never fix the shift's SUM of values.
  

In theory, the data that exists in the first table (the one with the period's days) should match the total earnings as per each website. If doesn't:

• either the app wasn't used continuously and some earnings are missing
  
• either the model received offline earnings after her last login
  
• either the PC's settings (language/etc) are not standard / default and thus the detection is faulty.
  
• either the model has changed website's language from English to some other language
  

Hope this topic will make some things clear for your business.

  xlove-english.png (Size: 45.31 KB / Downloads: 0)

  xlovecam-spanish.png (Size: 47.84 KB / Downloads: 0) ]]> https://support.camerolla.com/Thread-Online-Offline-detection-is-NOT-working-correctly-on-some-computers Mon, 26 Feb 2024 13:30:32 +0200 sebi]]> https://support.camerolla.com/Thread-Online-Offline-detection-is-NOT-working-correctly-on-some-computers This is a topic that has raised many discussions over the years.
Detecting if a model is ONLINE can be done in only a few ways:

• detection of keyboard and/or mouse activity --- which is not good because models are most of the time dancing/speaking, so this method fails
  
• detection if various TABs in the browser are activated or not and if there's activity on them - fails because some sites have dedicated apps (such as Jasmin or F4F or others) and more-over, even if a site is open on some page, it doesn't necessary mean that the model is actually online on that site. And implementing a per-site "detection" is impossible
  
• speaking with various site's Affiliate programs - which SHOULD report-back if a model is online or not. This method also fails because the data is mostly "not live" (but cached, 1 minute on average), not all the sites have such an affiliate program implemented and even if all would do, they are all different and constantly changing due to changes in the industry, and it would fail in a day-by-day usage scenario
  
• monitoring the UPLOAD speed on model's computer. If does some upload, means that the model is streaming (dooh) and this is the solution we've chosen, despite it still raises some issues.
  

So, Camerolla uses the last method: measuring internet UPLOAD speed PER SECOND. Considering that most sites are doing HD resolutions, an upload speed of AT LEAST 15kb/sec means that the model is online, while less than that, she is offline.
You may wonder WHY i chosen the 15kb/second ... well that is because there are some websites which use RTC and high-compression algorithms where the upload is (believe me or not) as low as that.

Measuring the upload speed on a PC is a perfect solution BUT it still has some "hacks" (or issues).
For example, a model can keep streaming using OBS to some website BUT in real she is offline and smoking or whatever...
Unfortunately, the app itself cannot verify if the model is "for real" really streaming... if she discovered this "small issue" into tricking the system, i guess its good that you still have trainers/admins in your studios who monitor them --- and for such a case, there's a FORCE BREAK button inside camerolla, which will set a break for the model, despite if she actually is still streaming in OBS.]]> This is a topic that has raised many discussions over the years.
Detecting if a model is ONLINE can be done in only a few ways:

• detection of keyboard and/or mouse activity --- which is not good because models are most of the time dancing/speaking, so this method fails
  
• detection if various TABs in the browser are activated or not and if there's activity on them - fails because some sites have dedicated apps (such as Jasmin or F4F or others) and more-over, even if a site is open on some page, it doesn't necessary mean that the model is actually online on that site. And implementing a per-site "detection" is impossible
  
• speaking with various site's Affiliate programs - which SHOULD report-back if a model is online or not. This method also fails because the data is mostly "not live" (but cached, 1 minute on average), not all the sites have such an affiliate program implemented and even if all would do, they are all different and constantly changing due to changes in the industry, and it would fail in a day-by-day usage scenario
  
• monitoring the UPLOAD speed on model's computer. If does some upload, means that the model is streaming (dooh) and this is the solution we've chosen, despite it still raises some issues.
  

So, Camerolla uses the last method: measuring internet UPLOAD speed PER SECOND. Considering that most sites are doing HD resolutions, an upload speed of AT LEAST 15kb/sec means that the model is online, while less than that, she is offline.
You may wonder WHY i chosen the 15kb/second ... well that is because there are some websites which use RTC and high-compression algorithms where the upload is (believe me or not) as low as that.

Measuring the upload speed on a PC is a perfect solution BUT it still has some "hacks" (or issues).
For example, a model can keep streaming using OBS to some website BUT in real she is offline and smoking or whatever...
Unfortunately, the app itself cannot verify if the model is "for real" really streaming... if she discovered this "small issue" into tricking the system, i guess its good that you still have trainers/admins in your studios who monitor them --- and for such a case, there's a FORCE BREAK button inside camerolla, which will set a break for the model, despite if she actually is still streaming in OBS.]]> https://support.camerolla.com/Thread-How-to-re-overwrite-OBS-MultiRtmp-with-ours Thu, 08 Feb 2024 13:50:24 +0200 sebi]]> https://support.camerolla.com/Thread-How-to-re-overwrite-OBS-MultiRtmp-with-ours
To fix this, here's what you need to do:

1. Download our version of the plugin from https://ro.downloads.camerolla.com/obs-m...mp-qt6.dll
   
2. Close your OBS entirelly
   
3. open FileExplorer on your windows (WIN key + E) and manually navigate to this path: C:\ProgramData\obs-studio\plugins\obs-multi-rtmp-qt6\bin\64bit
   
4. delete the obs-multi-rtmp-qt6.dll that exists in that directopry (which is the one from Lovense)
   
5. copy the file you donwloaded at step 1 in this path.
   

Now you can start using OBS as before Lovense's automatic update again

  capture.jpg (Size: 24.25 KB / Downloads: 0) ]]>
To fix this, here's what you need to do:

1. Download our version of the plugin from https://ro.downloads.camerolla.com/obs-m...mp-qt6.dll
   
2. Close your OBS entirelly
   
3. open FileExplorer on your windows (WIN key + E) and manually navigate to this path: C:\ProgramData\obs-studio\plugins\obs-multi-rtmp-qt6\bin\64bit
   
4. delete the obs-multi-rtmp-qt6.dll that exists in that directopry (which is the one from Lovense)
   
5. copy the file you donwloaded at step 1 in this path.
   

Now you can start using OBS as before Lovense's automatic update again

  capture.jpg (Size: 24.25 KB / Downloads: 0) ]]>