Hello.

I've been exploring Chrome's Shape Detection API and its potential, even creating a QR code detector with a JS polyfill. While I appreciate the API, I'm more impressed by libraries like Jeeliz, which offer faster face detection and broader cross-platform compatibility via WebGL and WASM. This tech allows for augmented reality experiences without large app downloads and data harvesting. There are numerous practical applications for this technology, from text selection and translation to product search and accessibility features. I believe the web is ideal for such experiences, and although I appreciate the native Shape Detection API, its inconsistencies across platforms raise questions about the need for native implementations when web-based solutions using WebGL and WASM can offer better consistency and reach.

I'm excited to share that barcode detection is now available in Chrome Canary via the Shape Detection API! This feature, along with QR code detection, offers a standardized way to access device hardware and bridge the physical and digital worlds. It's especially useful for mobile, eliminating the need for special apps just to scan barcodes. The API is simple: use BarcodeDetector.detect() with an image input to get a promise resolving to a list of barcodes. I've already integrated this into my QR Code Scanner App, and the ability to use it in worker threads is a huge bonus. It's a very promising addition to the web platform and I'm looking forward to seeing what people build with it!