Product presence/absence
Evaluated in real time within the configured camera region.
COLT AI · VISUAL QUALITY CONTROL AUTOMATION
Visual Quality Control Automation
Turn presence, part and assembly checks into visual inspection events.
Illustrative imageOPERATIONAL PROBLEM
Consistency, traceability and end-of-line feedback are critical in repetitive visual inspection.
COLT AI APPROACH
Colt AI evaluates products, parts and assembly positions through configured inspection scenarios and produces time-stamped OK/NOK records.
What Does Colt AI Detect?
Visual defect
Evaluated in real time within the configured camera region.
Missing or incorrect part
Evaluated in real time within the configured camera region.
Assembly position
Evaluated in real time within the configured camera region.
OK/NOK classification
Evaluated in real time within the configured camera region.
From Rule to Event Record
01Camera zone
02Detection & tracking
03Rule evaluation
04Time-stamped event
05Team notification
ACTION & MANAGEMENT
Event, evidence and notification in one flow
Camera and region rules are managed in the web dashboard. Events are recorded with camera, region, time, type and visual evidence. Notification behavior is configured by team and role.
Illustrative imageDEPLOYMENT ARCHITECTURE
Configured for your site.
Camera count, network topology, latency needs and organizational data policies are assessed together. Colt AI is not a cloud-only solution.
On-Premise
- Processing location
- On the organization’s physical server infrastructure
- Suitable scenario
- Centralized camera topologies and strict data policies
- Data approach
- Video and event data can remain within organizational boundaries
Edge
- Processing location
- On processing units close to the site or camera groups
- Suitable scenario
- Distributed sites and local decision requirements
- Data approach
- Enables raw video to be processed on site
Hybrid
- Processing location
- Across edge processing and a central management layer
- Suitable scenario
- Multi-site and mixed network architectures
- Data approach
- Data flows are separated according to organizational policy
The required processing infrastructure is designed around active cameras, enabled AI modules and site requirements.
FAQ
Frequently Asked Questions
Essential questions about camera compatibility, configuration and project architecture.
01Can outputs be sent to line systems?+
The integration architecture can be designed to provide outputs to plant systems according to project requirements.
02Which inspections can be automated?+
Product presence, missing or incorrect parts, visual defects, assembly position and configured OK/NOK scenarios can be evaluated.
03Is the same model used for every product?+
No. Visual conditions, product geometry, defect definitions and acceptance criteria are addressed for each project scenario.
04Are inspection results traceable?+
Depending on configuration, inspection time, result class and the related visual record can be associated with a quality event.
05How are camera and lighting requirements determined?+
Part size, movement, viewing angle, optical requirements and ambient lighting are assessed together during project evaluation.