Mastodawn

🗞️ NEWS: Meow.camera — a playful name hiding a serious tool in the AI camera space — has landed with notable community interest.

🔍 ANALYSIS: The 228 score signals real traction. As vision AI matures, tools like this show how quickly specialized use cases are emerging. Worth watching for privacy implications.

📎 Source: [meow.camera]

#AI #OpenSource #DevTools #ComputerVision #PrivacyTools

Techino 21m ago

🗞️ NEWS: Meow.camera — a playful name hiding a serious tool in the AI camera space — has landed with notable community interest.

🔍 ANALYSIS: The 228 score signals real traction. As vision AI matures, tools like this show how quickly specialized use cases are emerging. Worth watching for privacy implications.

📎 Source: [meow.camera]

#AI #OpenSource #DevTools #ComputerVision #PrivacyTools

Techino 21m ago

🗞️ NEWS: Meow.camera — a playful name hiding a serious tool in the AI camera space — has landed with notable community interest.

🔍 ANALYSIS: The 228 score signals real traction. As vision AI matures, tools like this show how quickly specialized use cases are emerging. Worth watching for privacy implications.

📎 Source: [meow.camera]

#AI #OpenSource #DevTools #ComputerVision #PrivacyTools

cnx-software.com 5h ago

TerraMaster F2-425 Plus NAS review – Part 2: Configuration, benchmarks, and AI-enhanced media storage

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/28/terramaster-f2-425-plus-nas-review-part-2-configuration-benchmarks-and-ai-enhanced-media-storage/

TerraMaster F2-425 Plus NAS review – Part 2: Configuration, benchmarks, and AI-enhanced media storage

I received the TerraMaster F2-425 Plus 3+2 Hybrid NAS for review last month, and after checking out the hardware in the first part of the review, I've finally had time to test the Intel N150 NAS. After installing two 4TB SATA drives and an M.2 NVMe SSD, I'll report my experience setting up the system with the TNAS Android app, before running some benchmarks, and testing features like photo backup with AI search capabilities. Hard drive installation I already had an old, but little-used, 4TB HGST SATA drive, and I bought a "new" 4TB SATA drive online for a pretty good deal (2979 THB or a little over $90 US). It turns out the HPE MB4000GVY2K drive I got was refurbished, having been manufactured in 2017. However, it's an enterprise-grade drive, and the TNAS app reports it has been used "only" for 2,517 hours, so I don't feel too bad

CNX Software - Embedded Systems News

sayzard 15h ago

Wildminder (@wildmindai)

StepFun이 공개한 RealRestorer는 비·안개·눈부심 제거, 저화질 복원, JPEG 아티팩트 및 모아레 보정까지 지원하는 오픈소스 이미지 복원 모델이다. 로컬에서 무료로 사용할 수 있으며, 1024x1024 해상도를 지원하는 실용적 비전 AI 솔루션으로 보인다.

https://x.com/wildmindai/status/2037422072587235787

#stepfun #realrestorer #opensource #imagerestoration #computervision

Wildminder (@wildmindai) on X

Cool. A local, free Topaz+NanoBanana alternative, almost StepFun just dropped a real gift: RealRestorer, a fully open-source image restoration model. - removes rain, fog, glare - no more moiré, JPEG artifacts - restore low-light - 1024×1024 based on Step1X-Edit DiT + Flux-VAE

X (formerly Twitter)

Andreas Becker 17h ago

Meta veröffentlicht mit SAM 3.1 ein Update für die Bild- und Videosegmentierung. Das Modell nutzt einen Multiplexer für Single Computation, wodurch mehrere Objekte parallel berechnet werden. Im SA-Co Gold Benchmark erreicht die Architektur 53,9 Punkte und schlägt Konkurrenten deutlich. Das Modell ist als Open Weights verfügbar. #Meta #SAM3 #ComputerVision #AI #News
https://www.all-ai.de/news/beitrage2026/meta-sam-3-1-smart

Meta SAM 3.1: Objekt-Tracking wird smarter und effizienter

Ein Architektur-Update ermöglicht die gleichzeitige Segmentierung mehrerer Bildelemente in einem einzigen Rechenschritt.

All-AI.de

sayzard 23h ago

Avi Chawla (@_avichawla)

연구진이 객체 탐지의 오래된 문제를 해결했다는 내용이다. 기존 YOLO 계열 모델이 추론 시 하나의 객체에 여러 bounding box를 중복 생성하는 문제를 다뤘고, 이 중복이 학습에는 도움이 되지만 추론 효율을 떨어뜨리는 점을 짚는다. 객체 탐지 연구의 중요한 진전으로 볼 수 있다.

https://x.com/_avichawla/status/2037423454799253694

#objectdetection #yolo #research #computervision #ai

Avi Chawla (@_avichawla) on X

Researchers just solved a decade-old problem in object detection! Traditional YOLO models generate multiple bounding boxes per object during inference. So a single person in the frame might produce 15 overlapping predictions. This redundancy helps the model learn better during

X (formerly Twitter)

sayzard 1d ago

Ultralytics (@ultralytics)

Ultralytics v8.4.28이 출시되었습니다. 소규모 데이터셋을 위한 더 똑똑한 autobatch, 더 강력한 네트워크 재시도, 더 가벼운 TensorFlow import 지원이 포함되어 YOLO/컴퓨터비전 개발 편의성과 성능이 개선되었습니다.

https://x.com/ultralytics/status/2037160838381924609

#ultralytics #yolo #computervision #tensorflow #framework

Ultralytics (@ultralytics) on X

🚀 Ultralytics vv8.4.28 is here! Smarter autobatch for small datasets 📦, stronger network retries 🌐, and leaner TensorFlow imports ⚡ #Ultralytics #YOLO #ComputerVision https://t.co/x9OjROV1iq

X (formerly Twitter)

sayzard 1d ago

Lukas Ziegler (@lukas_m_ziegler)

HKU MMLab과 KinetixAI가 완전 온보드 인지 기능을 갖춘 야외 휴머노이드 탁구 로봇 프로젝트 Smash를 공개했다. 모션 캡처 시스템이나 외부 카메라 없이 로봇 자체에서 모든 처리를 수행하며, 휴머노이드의 실전 자율성 수준을 보여주는 흥미로운 사례다.

https://x.com/lukas_m_ziegler/status/2037172731012084197

#humanoid #robotics #computervision #onboardai #tabletennis

Lukas Ziegler (@lukas_m_ziegler) on X

It's 2026 and we have humanoid beating humans in table tennis! 🏓 That's project Smash from HKU MMLab and KinetixAI built an outdoor humanoid table tennis player with fully onboard perception. No motion capture systems, no external cameras. Everything runs on the robot itself.

X (formerly Twitter)

sayzard 2d ago

Muhammad Rizwan Munawar (@muhammdrizwanmr)

Ultralytics YOLO26을 활용한 개인보호장비(PPE) 탐지 사례를 소개한다. 건설 현장에서 안전장비 착용 여부를 자동으로 식별해 산업 안전과 사고 예방에 활용할 수 있는 AI 비전 응용이다.

https://x.com/muhammdrizwanmr/status/2037021785254769035

#computervision #objectdetection #yolo #safetyai #ultralytics

Muhammad Rizwan Munawar (@muhammdrizwanmr) on X

Personal protective equipment detection with @ultralytics YOLO26 🦺 In the past year, the U.S. construction industry recorded approximately 169,200 nonfatal injuries. This equates to around 1% of construction workers sustaining injuries severe enough to result in missed

X (formerly Twitter)