Cortex license plate reader
AI
computer vision license plate recognition
SHOW HN2020
How HN took it
5 positive, 17 neutral or asking, 0 mixed, 10 critical, out of 32 comments about the project. Thread score -0.15.
Idea: 5 for, 3 againstExecution: 0 for, 4 againstPerformance: 0 for, 1 againstDesign: 0 for, 1 againstPrivacy: 0 for, 1 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Project looks neat
From 1 comment
This looks very neat. Do you think something like a Jetson Nano would be able to handle inference locally?
omgwtfbyobbq on HN
Objections
Predicted plate was wrong in example image; confidence score is not reliable accuracy
From 3 comments
Am I missing something or in this image, is the confidence score 99.23% and has the incorrect license plate? The plates clearly have a 5 but it's predicting an S.…
giarc on HNNope, you are correct. Wow, both examples from that image are wrong.
hundchenkatze on HNIt is really confident in its answer, but that does tell you much about how likely the answer is correct. For example, if I built a model that always returns the same plate…
teruakohatu on HN
Calling it DIY is misleading since it relies on a hosted web service
From 2 comments
"Do-it-yourself" seems like a not quite appropriate title for an interface that calls a webservice with pre-built vision ML.
techbio on HNI was thinking the same thing. If it was all localized to a Pi then yes, but outside services isn't really DIY so much. Maybe half DIY if such a thing.
parasanti on HN
Sending camera images to a cloud service is inefficient and privacy-unfriendly
From 2 comments
The actual computation here shouldn't be that great, right? (especially given the RPi has a GPU on) Seems like an inconsiderate design to stream images to a cloud service, rather…
alexchamberlain on HN"You, too, can now actively participate in the surveillance state" Yes, I get the technical appeal. I wish we all wondered less if we could, and more if we should.
groby_b on HN
Legal restrictions on license plate readers may apply
From 2 comments
Take care to understand your local law regarding automatic license plate recognition. Use of such software and/or data collected with it may be under regulation. IANAL, but see…
jlturner on HNThe photos I saw seemed to be in Paris, and I'm pretty sure it's illegal to run a license plate reader in France.
jmnicolas on HN
Requests
Run inference locally on Jetson Nano or Raspberry Pi
From 2 comments
This looks very neat. Do you think something like a Jetson Nano would be able to handle inference locally?
omgwtfbyobbq on HNI guess object detection is the bottleneck of the pipeline, which highly optimized YOLOv4-tiny[0]could get to 39 FPS on Jetson Nano. Also camera decoding with Nvidia Deepstream…
hadeson on HN
Compare performance against OpenALPR or OpenCV
From 2 comments
How does this implementation perform compared to classic approaches such as OpenALPR [1] ? At the very least running local inference becomes much more expensive, and possibly…
yuvadam on HNThat's very possible. The Python interface for writing prediction APIs makes it pretty easy to switch between models, so it shouldn't be hard to test.
calebkaiser on HN
Questions
Can it run on a Jetson Nano for local inference?
From 1 comment
This looks very neat. Do you think something like a Jetson Nano would be able to handle inference locally?
omgwtfbyobbq on HN
Is the confidence score for the plate reading or for detecting a plate?
From 1 comment
Is that confidence for the value or the category. It comes after LP in the image which makes me think it's the confidence that it is a license plate, not necessarily the…
cptskippy on HN
Alternatives named
OpenALPR
From 1 comment
How does this implementation perform compared to classic approaches such as OpenALPR [1] ? At the very least running local inference becomes much more expensive, and possibly…
yuvadam on HN