Noctvision https://validator.w3.org/feed/docs/rss2.html Detection and Classification in One Model — The Trade-offs of KLA’s Unified CNN Patent Is a Silhouette Dimension Accurate Just Because the Backlight Is On? — Reducing Edge Blur and Measurement Error on Thick Parts with a Collimated Backlight Shorter Exposure Means a Darker Image, So How Do You Freeze Motion? — Suppressing Motion Blur on the Move with Strobe Overdrive Can Correction Gain Erase Uneven Illumination? — The Limits of Flat-Field Correction and Designing Uniformity First In the Age of 8K Line-Scan Cameras, the Lens Still Sets the Ceiling on Inspection Resolution Programmable Multi-Angle Lighting and Edge AI Inference: Redrawing the Limits of PCB Micro-Crack Detection The Lens Comes Before the AI — Optical Setup Design for PCB Inspection Highly Reflective Surface Defects: One Filtering Order Decides the Outcome — Bilateral Filters and the Division of Labor with Onboard AI Cameras The Line-Scan Camera You Picked by Line Rate Alone — Why It Still Misses Defects: TDI and the Resolution Design Relationship Parts at Every Height, One Focus Plane — Can It All Stay Sharp? Liquid-Lens EDOF and the Division of Labor with Interface Bandwidth Edge AI Inference Latency: The Camera Interface Decides Before the NPU Does — GigE Vision 3.0 RDMA and Disaggregated Inspection Architecture In the Age of Deep-Learning Inspection, What to Check Before Camera Spec Adding Cameras to a Semiconductor/PCB Inspection Line: The Interface Rewrites the Optical Design Keeping Frame Rate and Lighting from Colliding on a High-Speed Inspection Line What Optical Design Needs to Not Miss Defects on a High-Speed Line Dark-Field Illumination and Edge AI Defect Classification: A New Baseline for Specular-Surface Inspection 소프트웨어 정의 조명(Software-Defined Lighting): 하나의 헤드로 암시야와 동축낙사를 오가는 검사 셋업 Software-Defined Lighting: One Head, Switching Between Dark-Field and Coaxial Illumination The Tug-of-War Between Distortion Correction and Depth of Field: How Telecentric Lenses Catch Micro-Defects Without Losing Them Detection Time Cut 65%, False Alarms Down 80%: How to Read the Two Numbers Behind Edge Fire-Detection AI Few-Shot Anomaly Detection: Can 5 Defect Samples Stand Up an Inspection Line What 2D Contrast Can’t See: How 3D Structured-Light Inspection Measures Solder Joint Height AOI는 “불량”이라고만 말한다 — 비전 언어 모델이 메꾸는 판정 근거의 공백 AOI Only Says “Defective” — How Vision Language Models Fill the Gap in Judgment Rationale Does Extending the Exposure Solve It When Light Is Short? — How SPAD Sensors and Time Gating Rewrite Low-Light Inspection Design Changing the Sensor Means Recalculating the Illumination — What 15% Quantum Efficiency at 940 nm on a BSI Global Shutter Sensor Actually Means Building a Vision Inspection App with PySide6 and OpenCV — A Minimal UI for Tuning Defect Detection Parameters on Screen (Full Code) 광량이 모자랄 때 노출을 늘리면 되는가 — SPAD 센서와 타임 게이팅이 다시 쓰는 저조도 검사 설계 Machine Vision Lens Calculator — Catching the FOV Error the Shortcut Formula Hides, Plus Depth of Field and Diffraction in One Pass Overdetection vs. Missed Detection — Which One Costs More? 머신비전 렌즈 계산기 — 근사식이 놓치는 FOV 오차와 피사계 심도·회절을 한 번에 확인하는 법 Six Machine-Vision Lighting Methods and How to Choose Machine-Vision Inspection: Physics Comes Before Software Deep Learning vs. Rule-Based Algorithms: When to Use Which Four Snags in Initial Jetson Orin Nano Setup How to Handle Imaging on Highly Reflective Surfaces What Changes in Vision Inspection When Logistics Automation Moves Into the Front End What to Write First in a Machine Vision Spec Sheet — The Order and Checklist for Choosing Camera, Lens and Lighting Specs 머신비전 설비 도입 전, 사양서에 먼저 적어야 할 것 — 카메라·렌즈·조명 스펙을 고르는 순서와 체크리스트 It Worked Fine on the Server — Why Does Accuracy Drop on the Edge? The Camera Cannot Be Bolted On Last — Reserving Space and WD for Vision Cameras and Lighting at the Mechanical Design Stage 카메라는 마지막에 달 수 없다 — 기구 설계 단계에서 비전 카메라·조명 설치 공간과 WD를 먼저 확보하는 법 Why Edge AI Vision Fails on the Factory Floor — A Troubleshooting Map from Symptom to Cause 엣지 AI 비전이 현장에서 안 돌아가는 이유 — 증상에서 원인까지 찾아가는 점검 지도 The Vision Decision Is Done — So Why Does the PLC Learn It Late? Breaking Down Trigger-to-Output Latency on the Vision Side 비전 판정은 끝났는데 PLC는 왜 늦게 아는가 — 트리거부터 결과 출력까지 지연을 비전 쪽에서 분해하기 What Should a Camera See When a Humanoid Grasps an Object? PySide6와 OpenCV로 만드는 비전 검사 프로그램 — 결함 검출 파라미터를 화면에서 조정하는 최소 UI(전체 코드) Scratches on Highly Reflective Metal: Choosing the Lighting First — A Selection Map for Coaxial, Dome, Dark-Field, Cross-Polarization and HDR 반사 심한 금속 표면의 스크래치, 조명부터 다시 고르는 법 — 동축·돔·암시야·교차 편광·HDR 선택 지도