Full ALPR Database System for Blue Iris!

I ordered one of the Motorola cameras that @TheWaterbug mentioned previously. Hoping it might contain some free billion dollar magic for 30 dollars...

What I have noticed with the lyorta's is that they are very hesitant to switch IR/daylight modes. You really need to set a manual schedule in Blue Iris. I missed a whole lot of plates between 5-8am because of this and never really addressed it until recently.

If Motorolas are consistently available, that's gotta be a killer solution, but otherwise (or for any lyorta/dahua users [most]), maybe an addition or revision to the cliff notes could be helpful. I know there are threads talking about settings, but I myself have combed through them without much clarity in the past. A more detailed dummy's guide to ALPR could be nice for a lot of folks.


Edit:
Also, if there is, in fact, some sort of special image processing embedded in the Motorola devices, coupling that with the power of crowdsourced global residential image collection could create a near professional-grade LPR solution... The fact that these devices are available secondhand and that we are able to collect data that they otherwise couldn't really is an exciting prospect.

I've seen both IRL and on video, so many examples of lighting-fast inference and seemingly excellent accuracy in the police car systems. It seems like we aren't that far away if we can get a large enough training set. While @MikeLud1 understands the inner-workings of the model far better than I do, we have discussed a fair amount, and it seems like we have plenty of resources to train a model on a very very large data set once we collect enough images. My hope is that we can at least get close to what the commercial solutions are offering.
 
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I ordered one of the Motorola cameras that @TheWaterbug mentioned previously. Hoping it might contain some free billion dollar magic for 30 dollars...

What I have noticed with the lyorta's is that they are very hesitant to switch IR/daylight modes. You really need to set a manual schedule in Blue Iris. I missed a whole lot of plates between 5-8am because of this and never really addressed it until recently.

If Motorolas are consistently available, that's gotta be a killer solution, but otherwise (or for any lyorta/dahua users [most]), maybe an addition or revision to the cliff notes could be helpful. I know there are threads talking about settings, but I myself have combed through them without much clarity in the past. A more detailed dummy's guide to ALPR could be nice for a lot of folks.


Edit:
Also, if there is, in fact, some sort of special image processing embedded in the Motorola devices, coupling that with the power of crowdsourced global residential image collection could create a near professional-grade LPR solution... The fact that these devices are available secondhand and that we are able to collect data that they otherwise couldn't really is an exciting prospect.

I've seen both IRL and on video, so many examples of lighting-fast inference and seemingly excellent accuracy in the police car systems. It seems like we aren't that far away if we can get a large enough training set. While @MikeLud1 understands the inner-workings of the model far better than I do, we have discussed a fair amount, and it seems like we have plenty of resources to train a model on a very very large data set once we collect enough images. My hope is that we can at least get close to what the commercial solutions are offering.

Unfortunately the $30 camera doesn't have the magic silicon. If you want that camera, it's a little just slightly more:


The L5F model has an Nvidia Jetson inside that handles the LPR functionality. I'm waiting for cities to start throwing these away.
 
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Unfortunately the $30 camera doesn't have the magic silicon. If you want that camera, it's a little just slightly more:


The L5F model has an Nvidia Jetson inside that handles the LPR functionality. I'm waiting for cities to start throwing these away.

Ik it doesn’t have the processing in it. The night image just looked so crisp tho so I’m wondering if the cam itself will be any better
 
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I tried the double SDR w RPI 4, and it was working ok... Not phenomenal, but part of that could have been antennae.

The main reasons I want to try a homebrew alternative are the cost, heat, and over-provisioning. I realized that that TI IC I linked before would be more complicated to use, but some of the modules might be more straightforward? Still not sure...

If any even medium-sized semi-technically competent company were trying to do this, I feel like they would opt for something more robust and cheaper than a USB SDR in an RPI... I think it's perfectly attainable for us too. It's just a matter of figuring it out and getting it working.

I'm confident I could get a custom circuit to work perfectly fine, but I want the BEST possible version with the best parts (which seems like it will still be way cheaper than double SDR RPI). I bet I can find someone with expertise to offer some professional advice and lend a helping hand.

There are some Arduino receivers that operate in this range.... 415 and the 315.......

So people said the range is bad-- another guy said over 100 feet.....

https://www.amazon.com/HiLetgo-Wireless-Transmitter-Receiver-Raspberry/dp/B01DKC2EY4/ref=sr_1_4?crid=1AE625L1540BW&dib=eyJ2IjoiMSJ9.Q7ovem9M8Zb6CEB9jfuJMrb_9XZ6Kwr2RvddHcqYJQNXtVpTDugeTC-X-PrLG_A2QQ_H9xCDeNtiZ8i9m73pQtiLrlEj8ku2OMOscUr5vGXUX_MERzUbZWqrFVqr4ahNLVXolWWgBGSbZzWAcOpdfnxSoqo-nJl3npGlTLtDV3sVgq5eJqHIjaLfuf_HVGXGMh1ILbXU0NVfILO4LEP3UFRiW8Penquj_Jq71ANN1KNmSIoHp67ZhkUBvSaZGbVNE57hwQxwkU6KeyViH_-OD_pHZtpovU0XMs2GXdkJV-Mc13zwI7o94FLLeJTZsgUYbiKIVh5Q8iop2YpGKkM0Wo2N53KzArEAgex0cMjUjyJC2nzx6ch1fG0zR-eXI7uiKVw9x0FWxq20TlWXXmjsD7ynt9fXvljCUNhkWEd4fO4IJCMtxIEZ0wDfY_pTAQ51.ZtSLWKn7DH-zbg8ASShRGHPfBTC-jg-nQOljaHu_fjs&dib_tag=se&keywords=iHaosapce+5+Packs+433MHz+RF+Wireless+Transmitter+and+Receiver+Module+Kits+For+Arduino+Raspberry+P&qid=1742080634&sprefix=ihaosapce+5+packs+433mhz+rf+wireless+transmitter+and+receiver+module+kits+for+arduino+raspberry+p%2Caps%2C143&sr=8-4
 
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