react-native-hashing VS react-native-vision-camera

I went this route when the new arch was an up and coming thing, spent a lot of time learning how to do cpp stuff and i made this: https://github.com/TheRogue76/react-native-hashing From my experience, unless you are doing something that is computationally extremely expensive, or doing something that needs access to the Yoga and the whole of the rendering pipeline, you are better off doing it in Kotlin and Swift. Cpp is not a pleasant or modern language (from the generics to the null handling to enums, my experience was terrible). We are mobile developers, so there will never be a time in your career when Swift or Kotlin are not useful. For my part, I won’t touch cpp ever again unless i have to. But it’s up to you

Camera and Image Captioning: For taking pictures we will use react-native-vision-camera and for generating captions from the images, react-native-quick-tflite.

> One of the big "aha" moments I had was a couple years ago when I was trying out Stripe's Identity product, which lets you take a selfie and a picture of your ID for identity verification purposes. It's pretty amazing how Stripe was able to do the full image analysis (i.e. edge detection when you take a picture of your ID) solely with browser APIs.

Do you have any details on that Stripe app? I've found the browser camera handling lacking on mobile if you want to overlay it with a "position the subject here" rectangle, or display instructions alongside, or detect QR codes as well as other subjects. I'd like this to be an out-of-date view. I've been considering React Native for the next version, using https://github.com/mrousavy/react-native-vision-camera as it seems much more feature complete.

You can use react-native-vision-camera and a frame processor that uses some kind of OCR to get the number plates.

This is a demonstration of what VisionCamera V3 is capable of - I built a small plugin to load any TensorFlow Model (.tflite) from resources and run it on every Camera Frame. This is going to be a game-changer, since the developer no longer needs to write native code for such complex tasks - it only takes a few lines of JavaScript to spin up a Camera, do real-time processing with a TensorFlow model, and draw anything to the Frame. Magic!

it's https://github.com/mrousavy/react-native-vision-camera

I finally got react-native-vision-camera and vision-camera-face-detector working yesterday by using Windows Subsystem for Linux (WSL). On windows itself it just doesn't work for me (https://github.com/mrousavy/react-native-vision-camera/issues/1474)

I'm the author of react-native-vision-camera, a library that exposes platform native Camera features to React Native.

Here’s an example from react-native-vision https://github.com/mrousavy/react-native-vision-camera/blob/main/example/src/views/StatusBarBlurBackground.tsx

6. Vision Camera