LOL, I was looking at the 2000-06-06 date
Oh crap LOL - yeah that is even worse LOL. Yeah if footage is questioned that is only a few seconds off, years off would be tossed so quick in court case. Wow.
LOL, I was looking at the 2000-06-06 date
The BI time/date is there because I'm viewing a past recording. It's not on the footage itself.His point is you have time coming from both the camera and from BI. Turn off the BI overlay. It may only be a fraction of CPU, but every little bit helps on an underperforming machine.
Plus since they don't match, should something happen that it were to go to court, the defendant attorney will have a field day discrediting the video, even if it is only a 3 second time difference. Or years in your case.
And who knows maybe the big @$$ BI time overlay is being perceived as motion and why you keep getting the camera triggered LOL. I have seen that happen on one of my cams so I excluded the time area from the Zone and it stopped the triggers.
@spazstic Look at the screenshot here. Make sure you have same settings. The list of custom models available to you is right there as a popup.
For each cam, set the custom model desired as shown. ipcam-general is good if you only need person/vehicle detection for both day and night. Look at other models for other objects. BTW, use higher confidence to eliminate false alarms. Again, CP.AI is using Deepstack models also so the quality of the predictions is driven by the model that you use.
This is great, thanks for the suggestion. I'll play around with the models and see if I can get an improvement.
However, I'm starting to think some of the issues may stem from the outdated hardware. CPU cycles to 100% often, and remains there during the object detection phase. I'm now looking into building a new PC with a 10+ gen Intel i5.
That overlay is only shown when watching a recording - I was referring to a permanent overlay on every video recorded...Yet when this was first brought up you replied "Yes, why not? Let that overhead float on the camera side rather than the server."
Adding BI overlay to watch a past recording is adding undo CPU usage.
But lets move on - do your other cameras exhibit the same issue with CodeProject or just this one? Prior to when you couldn't get into this camera GUI, are you on default settings or did you tune it in for your field of view - settings of the camera can have a big impact on the success of AI. If this or other cameras are on default settings, that could be part of the issue.
The plug-in probably is probably for Internet Explorer - have you tried Internet Explorer - not Edge or Chrome with the IE tab but plain ole Internet Explorer?
The 10th gen would be helpful for native encoding on the Plex side of the server.An i5-8th gen is more than capable.
The other question is do any of your cameras have AI built in and would that be sufficient for your needs? If so your existing PC may be fine.
No need to build.This is great, thanks for the suggestion. I'll play around with the models and see if I can get an improvement.
However, I'm starting to think some of the issues may stem from the outdated hardware. CPU cycles to 100% often, and remains there during the object detection phase. I'm now looking into building a new PC with a 10+ gen Intel i5.
No need to build.
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Rather than put money into a GPU with a power hog CPU, I'd rather build a decent system with a power efficient CPU and no GPU that can handle the task. Also, no GPU needed as I only remote in.@spazstic Yeah, PC with newer CPU will help alot if it is regularly pegged at 100%. Off loading AI to a Nvidia GPU will be good too. Check CP.AI website for list of supported GPU cards. If you do buy a new card, best to buy one with 4GB RAM or higher.
If you are looking at a newer system, i'd revert back to your old BI version and DeepStack on your current hardware, as you had that working well. Then get a new system and experiment with that until you have it working properly.Rather than put money into a GPU with a power hog CPU, I'd rather build a decent system with a power efficient CPU and no GPU that can handle the task. Also, no GPU needed as I only remote in.