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MatataLabGadgets★ Staff Pick

Solvia 8x32 AI Binoculars — Capture, Identify & Share

Solvia 8x32 AI 望远镜:识别、拍摄、分享三合一

8×32 Optics | AI Recognition | 2952×1944 Capture | Instant Wi-Fi Streaming | Social Media Sharing | 680g Lightweight

1.1kBackers
$348kPledged
$100kGoal
2702%Funded
Solvia 8x32 AI Binoculars — Capture, Identify & Share

About this project

Traditional birding gear is long and fragmented: binoculars, camera, field guide, telephoto lens. MatataLab's Solvia 8×32 fuses them into one device: ED elements, a prism system and multi-group optics deliver 86% transmission and a 7.6° field of view, while a coaxially integrated imaging system captures 2952×1944 photos and video as you observe, with 32GB built in. The smart part is onboard AI trained on 100GB+ of bird data — it identifies 10,000+ bird species in one second at up to 98% accuracy, a field guide inside the binoculars, with the app extending recognition to animals and plants. Instant Wi-Fi streaming puts the view on your phone for social sharing; EIS, WDR and AI low-light enhancement keep footage clean, with 10-12 hours of continuous capture in a 680g body. Launched in August 2025, it drew 1,055 backers and raised about HK$2.7M (~$348k) — 2,703% of its HK$100,000 goal.

Highlights

  • No field guide needed: onboard AI trained on 100GB+ bird data identifies 10,000+ species in one second
  • Observe and capture through the same lens at 2952x1944, one-touch or app-remote
  • Live sharing: instant Wi-Fi streaming to phone or tablet, straight to social media
  • All-condition image quality: ED glass, WDR for high contrast, EIS plus AI low-light enhancement

Specifications

Optics8x32, ED elements, 86% transmission, 7.6° FOV
Weight680g all-in-one
Battery10-12 hours continuous capture
Imaging2952x1944 photo/video, 32GB built-in
ConnectivityInstant Wi-Fi streaming; app remote capture & sharing
StabilizationEIS, WDR, AI low-light enhancement
AI recognitionBird ID in 1s, 10,000+ species, up to 98% accuracy

Campaign

Location
Hong Kong, Hong Kong
Creator
MatataLab
Launched
8/21/2025
Deadline
9/20/2025
Status
Successfully funded

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