Task-oriented Model Orchestration
Combine classical vision, lightweight models, large-model verification, rule engines and business logic according to the actual task.
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TECHNOLOGY
From Models to Shop-floor Systems — Make Industrial AI Work
Pingchuang AI combines vision algorithms, edge computing, workflow orchestration and system integration into a complete technology foundation for reliable AI-SOP and industrial vision inspection.
Multi-model OrchestrationReal-time Edge InferenceWorkflow OrchestrationOpen System IntegrationData Feedback Loop
01Sensing & Imaging Layer
02Models & Rules Layer
03Edge Inference Layer
04Workflow & Platform Layer
05Integration & Data Layer
DATA FLOW · ONLINEFIVE-LAYER TECHNOLOGY ARCHITECTURE
From Stable Visual Input to Shop-floor Decisions and Continuous Improvement
Each layer has a defined role and connects through shared data flows and business logic to form a sustainable production system.
Sensing & Imaging Layer
Build stable visual input around the inspection target, installation space, cycle time and site lighting conditions.
- Production-line Cameras
- Lenses and Lighting
- Inspection Regions
- Image and Video Capture
- Workstation Adaptation
TECHNOLOGY PRINCIPLES
Technology Choices Built Around the Task, Site and Long-term Operation
Edge Operation for the Production Floor
Support local edge inference to reduce network dependency while maintaining real-time response and data boundaries.
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Open Integration with Shop-floor Systems
Integrate with PLC, MES, ERP, scanners, alarm devices and other shop-floor systems through open interfaces.
PLCMESAPIDEVICES
Continuous Improvement Around Data and Process
Continuously improve models and rules through new samples, site feedback, process changes and operational data.
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TECHNOLOGY RESPONSIBILITIES
One Technology Foundation for Two Different Shop-floor Challenges
01 · Operator Actions and Workflows
AI-SOP
Turn recognition results into workflow decisions, exception handling and process traceability.
- Action and State Recognition
- Operation Sequences
- Workflow Orchestration
- Timeout and Rule Logic
- Alert Integration
- Video and Event Traceability
Industrial Vision Inspection
Build a stable imaging, model and quality decision pipeline around the inspection target.
- Appearance Defects
- Orientation and Polarity
- OCR and Codes
- Count and Completeness
- Dimensions and Position
- OK / NG and Model Review
Some projects combine AI-SOP and vision inspection, validating operator actions during assembly while also checking component completeness and orientation.
TECHNOLOGY APPLICATIONS
Technology Becomes Valuable Through Specific Decision Tasks
01
Object Detection & Classification
Recognize products, components, tools, materials and operators.
Industrial Vision Quality Inspection ↗02Action & Pose Recognition
Determine operator actions, tool usage, region entry and operation states.
AI-SOP Workflow Intelligence ↗03OCR & Codes
Validate characters, labels, QR codes, barcodes and content consistency.
Industrial Vision Quality Inspection ↗04Anomaly & Defect Inspection
Support appearance defects, unknown anomalies, model review and human verification.
Industrial Vision Quality Inspection ↗05Workflow State Machines
Handle sequences, conditions, timeout rules, exceptions and device integration.
AI-SOP Workflow Intelligence ↗06Data & Interface Integration
Connect PLC, MES, ERP, scanners, alarm devices and management platforms.
AI-SOP + Vision Inspection ↗TECHNICAL DISCUSSION
Facing a Similar Shop-floor Challenge?
Share your inspection target, workflow requirements and system interfaces. We will help determine the appropriate technical approach and deployment path.