QualityProductionTraceability
STOP DEFECTSBEFORE THEY SHIP
Cameras that check every part at line speed, reject what is wrong and count what leaves the line. Quality, output and OEE on one dashboard, without stopping production.
- of parts inspected
- 100%
- of parts inspected
- output, downtime and cycle times per shift
- Live OEE
- output, downtime and cycle times per shift
- no breaks, no shift changes
- 24/7
- no breaks, no shift changes
- lines on the same system
- 1 to 100+
- lines on the same system
Brands around the world trust CondorVision
8 h
One person checking parts for an entire shift
The problem
Manual inspectionis not enough
When quality depends on tired eyes and spreadsheets, defects slip through and you find out too late.
- 01
Defects slip through
Checking thousands of parts per shift by hand wears anyone out. What goes unseen on the line shows up later, as a customer complaint.
- 02
You find out too late
Without real-time data, a drifting machine can produce hours of scrap before anyone notices.
- 03
Sampling is not control
Checking one part in a hundred lets the other ninety-nine through. Demanding customers expect 100%.
How it works
From camerato decision
We mount the system on your existing line. No new machines, no production downtime.
1Step
Sees and counts every part
Industrial cameras above the conveyor capture and count every unit that passes, on every shift.
2Step
Detects, measures and rejects
A model trained on your real products finds defects, measures every part against your tolerance and triggers automatic rejection of anything out of spec.
3Step
Shows you the numbers
Output, downtime, cycle time and OEE on a live dashboard, with alerts when something drifts. It also works offline.
All in one system
Quality, production and traceability come from the same system and the same dashboard.
Quality control
- Real-time defect detection
- Assembly and labeling verification
- Automatic rejection wired to your PLC
Production monitoring
- Automatic counting per line and shift
- Cycle times and downtime
- Live OEE, availability and performance
Traceability
- Every inspection logged with its image
- Quality history by batch and product
- Audit-ready reports
Real detections
See whatthe system sees
Every box is a decision made on the line: a part approved, a defect rejected or one more unit in the production count.
Wrong cap 路 Bottling
Finds the bottle carrying another product's cap and flags it for rejection before packing.
Turned shafts 路 Machining
Measures every diameter while the part is machined and flags anything out of tolerance.
Unripe blueberries 路 Sorting
Flags off-spec fruit on a moving bed of berries.
Molded parts 路 Cracks
Approves sound parts and flags the cracked one before packing.
Parcels on a conveyor 路 Count and flow
Counts and tracks every parcel, even when they touch, to measure how much leaves the line.
Brochures off the folder 路 Production count
Counts every printed piece leaving the folder and builds the shift's run rate, with no manual counting.
Got a similar case on your line?
Send us a video of your product and we will show you what the system detects.
Try it with your productSystem demos on footage from third-party lines.
Production control and metrics
Know your outputminute by minute
The same camera that inspects also counts what leaves the line. Output, downtime, cycle time and OEE are calculated automatically, per line and per shift, with no spreadsheets.
Automatic counting
Every unit adds to the count for the line, the shift and the work order, always against target.
Downtime and its causes
The shift timeline shows when the line stopped and why: changeover, operator, quality or idle.
Live OEE
Availability, performance and quality calculated from what actually happened on the line, not from end-of-day notes.
Alerts in time
If the pace drops or defects rise, the system warns you while there is still time to fix it.
CondorVision dashboard 路 one shift on a packaging line
Case study
CALSA inspectsevery yeast sachet
Compa帽铆a Argentina de Levaduras 路 packing line
- The challenge
- Check 100% of sachets at production speed, without stopping the line or relying on manual inspection.
- The solution
- Real-time inspection and counting of every sachet
- Automatic rejection of NOOK sachets
- Everything runs on site, with no cloud dependency
- of sachets inspected
- 100%
- of sachets inspected
- one decision per sachet
- OK / NOOK
- one decision per sachet
- in production
- 24/7
- in production
Beyond the plant
The same technologyat any scale
From a drone above the Arc de Triomphe in Paris, the system detects and classifies every vehicle in real time. The same AI that inspects your production adapts to logistics, loading yards and open spaces.
Drone vehicle detection 路 Arc de Triomphe, Paris
Architecture
One integratedcontrol system
Automated quality control with camera and AI, production dashboard, and real-time metrics
Edge Dev. 1
Cloud
Edge Dev. 2
Actuator
Edge Dev. 3
Local
AI visual inspection
Real-time metrics
Sensors and encoders
When defects detected
Siemens, Allen-Bradley
Belt speed
SCALABLE FROM 1 TO 100+ LINES
Industries
Built foryour industry
CondorVision adapts to the specific needs of each sector
How we work
From the first visitto a running line
One team handles everything: hardware, model, integration and support.
- 1
Site survey
We visit the plant or review videos of your line to understand the product, the defects and the speed.
- 2
A model for your product
We train the AI on real images of your parts, good and defective, so it learns your standard.
- 3
Installation
We mount cameras and hardware on your existing line and connect them to your PLC or rejector, without stopping production.
- 4
Support and improvement
We track performance, retrain when new products or defects appear and support you remotely and on site.
How much does your line lose to defects every year?
Calculate the real savings you could generate with automated inspection in less than a minute. No email required, no commitment.
Calculate my savingsFREQUENTLY ASKED QUESTIONS
Answers to the most common questions about our system
It is a camera and AI-based quality control solution that inspects products automatically. The system detects defects, verifies dimensions, and ensures compliance with quality standards at industrial speed, without human intervention.
Blog
LEARN FROM THE BLOG
Use cases, comparisons and practical guides to understand how AI quality control improves production
12 Packaging Defects That Trigger the Worst Recalls
From broken seals to misaligned labels, the 12 packaging defects that cause the most expensive recalls in manufacturing. See real examples, root causes, and how automated inspection catches each defect before it leaves your plant.
Packaging Defects: AI, Machine Vision or Manual Sampling?
Choosing the right defect detection system for a packaging line is harder than it should be. We compare the four approaches in production today, AI inspection, traditional machine vision, manual sampling, and X-ray, across cost, coverage and ROI.
AI AOI for SMT Lines: 60% Fewer False Positives Than Classic AOI
Traditional AOI was built for a simpler era of PCB manufacturing. AI-powered visual inspection rewires the SMT quality loop with sub-200 ms decisions, 60% fewer false positives, and models that adapt to every new board on the line.
How many defectsslip through today?
Tell us what you make and we will show you, with your own product, what CondorVision can catch.