Frame Processors
> FRAME PROCESSORS ARE STILL WIP - SEE [#2](https://github.com/cuvent/react-native-vision-camera/pull/2)
### What are frame processors?
Frame processors are functions that are written in JavaScript (or TypeScript) which can be used to **process frames the camera "sees"**.
For example, you might want to create a QR code scanner _without ever writing native code while still achieving almost-native performance_. Since you can write the scanning part yourself, you can implement a custom QR code system like the one Snapchat uses for Snap-codes.
Frame processors are by far not limited to QR code detection, other examples include:
* **AI** for **facial recognition**
* **AI** for **object detection**
* Using **Tensorflow**, **MLKit Vision** or other libraries (if they provide React Native JSI bindings in the form of "react-native-vision-camera plugins")
* Creating **realtime video-chats** since you can directly send the camera frames over the network
* Creating **snapchat-like filters**, e.g. draw a dog-mask filter over the user's face (WIP)
* Creating **color filters** with depth-detection
* Using **custom C++ processors** exposed to JS for maximum performance
### Technical
Frame processors are JS functions that will be **workletized** using [react-native-reanimated](https://github.com/software-mansion/react-native-reanimated). They are created on a **separate thread** using a separate Hermes/JSC Runtime and are **invoked synchronously** (using JSI) without ever going over the bridge.
### Example
```tsx
function App() {
const frameProcessor = useFrameProcessor((frame) => {
const qrCodes = scanQrCodes(frame)
console.log(qrCodes)
}, [])
return (
)
}
```
#### 🚀 Next section: [ANIMATED](./ANIMATED.md)
