Technical 5 dk
What Are RTSP and ONVIF? Connecting IP Cameras to AI Video Analytics
The two standards that make it possible to add AI analytics to mixed-brand camera estates — explained without jargon.
ReadGuides
Comparison 6 dk
Edge vs Cloud Video Analytics: What Is On-Premise Video Analytics?
Where should video be processed? A practical comparison for plants, warehouses and multi-site operations.
ReadTechnical 6 dk
Planning AI Video Analytics Architecture for 50–100 Cameras
Going from one pilot camera to a site-wide deployment: the architecture decisions that drive cost and reliability.
ReadGuide 6 dk
How to Evaluate Existing Cameras for Computer Vision
Before buying new cameras, check these six criteria — and why camera angle often matters more than the model.
ReadGuide 5 dk
How to Plan a Computer Vision Pilot Project
How to make sure a pilot produces a decision, not just a nice demo.
ReadTechnical 5 dk
How Is Accuracy Measured in Computer Vision? False Positives and False Negatives
Why a single accuracy figure is not enough — and what to measure instead.
ReadGuide 5 dk
What Is Video Analytics? From Motion Detection to AI Event Detection
A plain-language explanation of video analytics and what changed with deep learning.
ReadGuide 6 dk
PPE Detection with Existing CCTV: How It Works and What to Plan For
What it takes to run reliable PPE detection on the cameras you already have.
ReadGuide 5 dk
Forklift Safety with Computer Vision: Monitoring Pedestrian Interaction Risk
Making near-misses at crossings visible — and what camera-based systems can and cannot do.
ReadGuide 6 dk
How Does AI Quality Inspection Work?
From defect catalogue to PLC reject signal — the steps behind automated visual inspection.
ReadGuide 5 dk
Production Monitoring with Computer Vision: Downtime, Cycle Time and OEE
Camera-based production monitoring for lines where manual logs miss the short stops.
ReadCase studies
Food & Beverage15 May 2026
How idle time on a food production line was reduced by 18%
Anonymous food facility — intra-shift idle became visible; response time shortened and lost capacity became measurable.
ReadAutomotive Supplier2 May 2026
PPE violations on an assembly line: a 24/7 automated inspection case
Anonymous automotive supplier — hard hat and vest violations detected instantly; manual patrol load reduced and a digital evidence archive created.
ReadWhite Goods / Components20 April 2026
Scrap rate decline through early defect detection on a conveyor line
Anonymous white goods component line — surface defects caught instantly; late-intervention scrap buildup reduced.
ReadTextile & Apparel28 May 2026
How Line A scrap rate dropped 31% in packaging
Anonymous textile site — early defect separation on post-sewing packaging; scrap buildup and rework cost fell sharply.
ReadLogistics & Shipping10 May 2026
Pallet count mismatch at shipping dock: instant alert case
Anonymous logistics hub — expected vs detected pallet count caught in real time; shipping errors down 60%.
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