PixQMSPlanned integration
PixQMS – Quality Context
- Nonconformity type
- Product / batch
- Inspection record
- Visual evidence, where applicable
- Quality history
PIXIVISION AI · COMPUTER VISION
There's more happening on your production floor than your reports reveal.
Visual quality inspection, work-center monitoring and anomaly detection.
PixiVision AI brings together computer vision, equipment signals and manufacturing data analysis. We design solutions to identify product nonconformities, monitor work-center activity and detect unusual process behavior.
Tailored Vision AI solutions. Functionality and integration scope are defined during the technical assessment.
01Visual Quality Inspection
When the camera detects a nonconformity before the customer does.
Computer vision can be applied to inspect product surfaces, labels, completeness and other visually assessable characteristics. Inspection criteria are defined for the specific product and production process.
- Surface damage
- Label and marking inspection
- Missing component detection
- OK/NOK classification logic
02Work-Center Monitoring
A machine may be running while the process is not performing as expected.
An equipment status signal alone is not always enough to understand what is really happening at a work center. Visual monitoring can complement existing data on product movement, accumulation, unusual situations and process flow.
Possible monitoring scenarios
- Product presence or absence
- Product movement between zones
- Accumulation in front of equipment
- Unusual stops
- Visual process deviations
03Anomaly Detection
Not every problem looks like a breakdown.
Sometimes a process simply starts behaving differently. Cycles get longer, the work rhythm changes, short stops recur or equipment signals fluctuate unusually. By combining production history with current data, such deviations can be searched for and analyzed.
Possible scenarios
Equipment and production data – time-series analysis
- Cycle time deviations
- Unusual equipment signal values
- Recurring short stops
- Changes in work-center rhythm
Camera images – visual anomaly detection
- Unusual visual events
Demo data
Where Can Vision AI Help?
01.Incorrect Label
Checking whether the label is in the right place, matches the defined characteristics and is printed correctly.
02.Missing Component
Visual inspection of whether the product contains all intended components that are visible to the camera.
03.Product Accumulation
Monitoring whether products are accumulating in a specific zone of the production line and whether an unusual situation is developing.
04.Increasing Cycle Time
Production data analysis that helps identify an unusual change in cycle time.
When visual and equipment data speak the same language.
Different data sources reveal different parts of the production process. The value comes from linking them to the work center, the product and the production history.
- Designed for each specific project
- Existing PixinnTech products
- Planned integration
Image
- Industrial Cameras
- Image Analysis
- Visual Events
Equipment data
- PLC / Equipment Signals
- Time-Series Analysis
- Process Anomalies
PixiVision AI
Event Correlation
PixQMS
Existing productQuality inspections, nonconformities and their history
PixOEE
Existing productWork-center states, cycles, downtime and production KPIs
PixQMS and PixOEE are existing PixinnTech products. The PixiVision AI component and its integration with them are designed for each specific project. A connection with PixTPM is also planned in the future.
One Deviation. More Context.
A visual nonconformity becomes more useful when we know at which work center, with which product and at which production stage it was detected. We plan to connect PixiVision with PixQMS and PixOEE so that quality information and production KPIs can be assessed in one context.
PixOEEPlanned integration
PixOEE – Production Context
- Work center
- Equipment status
- Cycle time
- Downtime history
- Production efficiency KPIs
From a Specific Problem to a Working Solution.
- 01
Process Assessment
We assess what needs to be seen, inspected or monitored at a specific production location.
- 02
Data and Equipment Assessment
We review the capabilities of cameras, lighting, PLC signals and available production data.
- 03
Solution Validation
We test the selected method with real data and verify its suitability.
- 04
Integration
Within the agreed project scope, we integrate the solution with the required production processes and systems.
Specific functionality, accuracy requirements and integration scope are defined during the technical assessment.
What Should Your Production Process Detect Earlier?
Tell us which production process you would like to monitor or which nonconformities you want to detect. We will assess how Vision AI could be applied.
- Write to us
- ricardas@pixinn.lt
- Call us
- +370 694 47111