updated embedding notes

Embedding.md

@@ -22,9 +22,19 @@ const simmilarity = human.simmilarity(firstEmbedding, secondEmbedding);
 console.log(`faces are ${100 * simmilarity}% simmilar`);
 ```
 
+If the image or video frame have multiple faces and you want to match all of them, simply loop through all `results.face`
+
+```js
+for (let i = 0; i < secondResult.face.length; i++) {
+  const secondEmbedding = secondResult.face[i].embedding;
+  const simmilarity = human.simmilarity(firstEmbedding, secondEmbedding);
+  console.log(`face ${i} is ${100 * simmilarity}% simmilar`);
+}
+```
+
 Embedding vectors are calulated values uniquely identifying a given face and presented as array of 192 float values  
 
 They can be stored as normal arrays and reused as needed
 
-Simmilarity function calculates Eucilidean distance between all points in vector  
-
+Simmilarity function is based on Eucilidean distance between all points in vector  
+*Eucilidean distance is a square root of sum of squared distances between each point in (each value in 192-member array)*

Platforms.md

@@ -10,6 +10,7 @@
   - Minimum version Firefox 55 from 2017
   - WebGL: Lower performance due to Firefox handing of WebGL memory garbage collection 
   - WASM: For performance reasons it is recommended to enable `javascript.options.wasm.simd` in `about:config`
+  - WASM: Async operations are not supported (running multiple detections or models in parallel) Due to missing threaded WASM support in Firefox
   - Web Workers: Not supported due to Firefox missing implementation for `OffscreenCanvas`
 - **Safari**: *Limited support*
   - Minimum version Safari 10.3