Show HN: Comparator - I built a free, open-source app to compare job offers (comparator-one.vercel.app)

Perch‑Eye is a lightweight, open-source SDK for on-device face comparison. It works natively on Android and iOS, supports custom detectors, and runs entirely offline — no cloud required. Ideal for privacy-focused mobile apps.

Comments (9)

Xamarin_ · 45s ago

what happens with edge cases like sunglasses, masks, or bad lighting? does it fail gracefully or just return garbage similarity scores?

mrjazz · 3m ago

Looks nice! Do you have any plans to extend the SDK to Flutter or ReactNative apps?

iscream_vanilla · 7h ago

Nice approach, but always wary of "lightweight" face recognition claims. What's the actual accuracy rate? False positive/negative rates? Have you published any benchmarks against industry standard datasets like LFW?

vladimir_adt · 6h ago

It's a bit challenging to create a dataset with all types of angled faces. We're currently working internally on a small dataset of around 128 images, but overall, testing is proceeding as planned.

Mobile_guru002 · 7h ago

Just cloned and built it - surprisingly easy setup! The demo app works well on my Pixel. One feature request: any plans for liveness detection? Would help prevent spoofing with photos.

vladimir_adt · 6h ago

It's already live and working with camera preview on both Android and iOS. We plan to update the demos to reflect that. A question for you in return: Are you satisfied with the non-Full HD live preview, or do you need a more detailed image for your project?

Relindrel · 7h ago

Overall this looks good for a v1. Offline strategy is the way to go with all the privacy concerns lately. Will be watching this project

NAVIRKAAAA · 7h ago

Quick question - what image formats does this support? Can it work directly with camera streams or just static images?

AndroDev007 · 7h ago

Funny how face recognition went from sci-fi movie stuff to "just add this dependency" in like 10 years

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Comments (9)