Interface conceptResearch areaImage and video review
Kanıt
Research into visual evidence for expert review. Connects event candidates to source footage, timestamps, surrounding context and reviewer decisions.
Explore the applicationVisual quality control
Gözcü
Planned visual quality inspection for production lines. Connects anomaly candidates with station, batch and image context for operator review and corrective work.
- Information foundation
- Production or sample images and batch context
- Operational outcome
- Review candidates and quality tasks
- Human responsibility
- Operator assessment and physical intervention approval
Inside the application
Application workflow
Selected use cases, source information and operational outputs.
Candidates from production images
Anomaly detection from sound-product examples and noise filtering are planned.
GözcüScenario / 01
Interface conceptResearch / conceptual
Production image review
Not an automatic verdict
Anomaly candidateReview alongside the source image.
Station contextLink to the relevant production record.
Decision boundary
Operator assessment and physical intervention approval
- Production or sample images and batch context
OutputReview candidates and quality tasks
Review connected to quality records
Operators mark false alarms; accepted events can become alerts, batch flags or nonconformity records.
GözcüScenario / 02
Interface conceptResearch / conceptual
Quality review
Batch and station
Work contextSource evidence
Operator review
AssessmentSubject to operator judgment
Corrective work
Next actionSubject to operator judgment
Decision boundary
Operator assessment and physical intervention approval
- Production or sample images and batch context
OutputReview candidates and quality tasks
Scope to test in a pilot
The initial plan covers one line or station and an operator queue.
GözcüScenario / 03
Interface conceptResearch / conceptual
Pilot acceptance scope
Dimensions to evaluate
No result data01Product conditions
02Defect types
03False-alarm review
04Operator decision
Shows comparison criteria. Numerical charts require verified data and a defined method.
Decision boundary
Operator assessment and physical intervention approval
- Production or sample images and batch context
OutputReview candidates and quality tasks
Application approach
Scope and operating approach.
The scope, operating approach and boundaries of this work.
01Candidates from production images
Anomaly detection from sound-product examples and noise filtering are planned. Findings are assessed with image, time, station and batch context.
02Review connected to quality records
Operators mark false alarms; accepted events can become alerts, batch flags or nonconformity records. High-impact physical intervention requires human approval.
03Scope to test in a pilot
The initial plan covers one line or station and an operator queue. Multiple lines, deeper PLC integration and assembly verification are later research areas.
Research scope: application behavior and business outcomes require pilot validation.
In everyday work
From production imagery to quality review
Not every visual difference is a defect. Gözcü plans to bring anomaly candidates from one line or station to operators with batch and production context.
Visual quality control
Fictional sample dataFrom production imagery to quality review
01Station record
Production or sample images and batch context
Initial scopeSingle line or station
ContextImage · time · batch
DecisionOperator review
02Anomaly candidate
00:12Before
00:16Candidate
00:20After
ContextImage · time · batch
Original sourceProduction or sample images and batch context
A time-window diagram, not real camera footage.
03Quality review
Illustrative review stateOperator assessment and physical intervention approval
Operators review candidates and flag false alarms. A detection is not automatically accepted as a confirmed quality finding.
OutputReview candidates and quality tasks
Station record
Candidates from production images
This component shows incoming information together with its identity and provenance. Line or sample images are considered against known-good examples. Time, station and batch supply the operational context.
Anomaly candidate
Review connected to quality records
This component explains how records are reviewed rather than displaying a result in isolation. Operators review candidates and flag false alarms. A detection is not automatically accepted as a confirmed quality finding.
Quality review
Scope to test in a pilot
This component distinguishes the user’s decision from the next work record. Accepted events are intended to link to quality tasks or nonconformity records. Physical intervention requires human judgment; multi-line scaling and deep PLC integration sit beyond the initial pilot.
The whole operation
Information, decisions and outcomes stay connected.
These distinctions show the information the application receives, where it needs the user and what it leaves for the next operation.
- Starting information
- Production or sample images and batch context
- Human decision
- Operator assessment and physical intervention approval
- Resulting structure
- Review candidates and quality tasks
How do we assess its impact?
These are evaluation dimensions, not measured performance results. Comparisons use the same task types, data scope and human-review conditions.
- False-alarm workload
- Review queue
- Events linked to quality records
Related work
Related applications.
Interface conceptResearch area
Interface conceptPlanningSite safety
Siper
Planned site-safety event review using camera footage and defined area policies. Human judgment and privacy are part of the design; the work remains pre-pilot.
Explore the application
Interface conceptPlanningAudit preparation
Uyum
Planned support for audit preparation. Links requirements to document evidence and routes reviewed findings into corrective tasks and audit records.
Explore the applicationWork with us
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