ckn.image.pipeline()

frame = camera.read()
defects = model.detect(frame)
if defects:
alert.qc_team(defects)
update.dashboard(metrics)

Inno Digital Biz · Computer Vision & Image Intelligence

Image Processing
Intelligence Platform

Real-time vision · Generative inspection overlay · Built on CKN Technology Stack

Turn raw camera feeds, CCTV, and production images into actionable intelligence. Our Image Processing Intelligence platform detects defects, reads labels and documents, monitors safety, and generates visual insights – integrated directly with your existing MES, SCADA, TMS/WMS, and business systems.

Explore capabilities See industrial use cases

Latency

< 300 ms

Per frame for standard detection pipelines*

Supported Inputs

CCTV · IP Cam · Files

JPEG/PNG · PDF · RTSP stream

CKN Ecosystem

Inno Supply Chain · METRIX EDGE

Deep integration with operations

vision.metrix-edge.local · live

Streaming

Defect: scratch (0.91)

Misalign (0.84)

Pipeline prod-qc-line-01

[LOAD] model = yolov8_qc_v3.on_edge()

[STREAM] camera: rtsp://line01-cam03

[EVENT] 2 defects detected · frame 4237

[ACTION] sent_to = MES · notified = QC Shift A

Metrics (last 5 min) OK

Frames / sec

19.2

Detection latency

230 ms

Defect rate

2.1%

Quality inspection Safety & CCTV analytics OCR & document vision Edge + Cloud hybrid

Solution Overview

Image Processing Intelligence for Industrial & Enterprise Use

Our platform combines traditional computer vision, deep learning, and generative AI to detect, classify, and explain what is happening in your images and video streams – then connects those insights to your operational systems within the CKN Technology ecosystem.

Vision with Business Context

Not just bounding boxes. We link detected events to orders, batches, pallets, employees, or locations using your master data, so every detection has operational meaning.

Edge + Cloud Hybrid

Run models close to the camera with METRIX EDGE, aggregate events and model management in the cloud with Inno Digital Biz – all managed under CKN Core.

Explainable & Observable

Versioned models, visual overlays, and detailed logs allow you to trace back why a defect or alert was triggered – with dashboards powered by CKN Data & Observability.

High-Impact Use Cases

From production lines to documents and yards

We focus on image intelligence that can be directly tied to safety, quality, and efficiency KPIs – fully integrated into Inno Supply Chain Biz, GENEX, and METRIX EDGE solutions.

Manufacturing Logistics & Yards Documents & Back-Office Smart Facilities

Automated Quality Inspection

Detect surface defects, shape deviations, and assembly mistakes directly from production line cameras.

• Classify scratches, dents, cracks, missing components
• Track defect rate per line, shift, and supplier
• Integrate with MES / ERP for batch and lot tracing

Used with: METRIX EDGE · Inno Supply Chain Biz

Safety & CCTV Analytics

Monitor PPE usage, restricted zones, and unsafe behaviors from existing CCTV infrastructure.

• Detect missing helmets, vests, or safety glasses
• Alert when people enter dangerous or restricted areas
• Provide heatmaps of movement and congestion in yards

Used with: METRIX EDGE · GENEX Experience Layer

Document Vision & OCR

Convert scanned documents, PODs, gate passes, and forms into structured data.

• OCR for invoices, DO, GRN, and customs documents
• Layout-aware extraction with LLM post-processing
• Connect to TMS / WMS / ERP for automatic updates

Used with: Inno Supply Chain Biz · Inno Marketing Biz

Yard, Dock & Logistics Vision

Use cameras at gates, docks, and yards to automate check-in and track assets.

• License plate recognition (LPR) for trucks and containers
• Detect dock occupancy and queue length
• Auto-link camera events to bookings and shipments

Used with: Inno Supply Chain Biz · Slot Booking

Architecture Highlights

Vision Pipelines · Edge Nodes · CKN Integration Layer

Image Processing Intelligence is built as a modular stack that separates camera ingestion, model inference, event processing, and integration – allowing you to mix-and-match cloud and edge deployment while keeping a single governance and monitoring layer under CKN Technology.

Capture & Ingestion Layer

Supports RTSP, ONVIF, IP camera streams, file uploads, and document scanners. Edge nodes (METRIX EDGE) handle decoding and pre-processing before inference.
Model Inference & Pipelines

Multiple pipelines (defect detection, PPE, OCR, LPR, occupancy) can be combined per camera. Pipelines are versioned, A/B-testable, and centrally managed via Inno Digital Biz control panel.
Event Bus & Integration

Detected events are sent via CKN Server services into MES, TMS, WMS, ERP, or message queues – with per-tenant routing for Inno Supply Chain Biz, GENEX, and other solutions.
Security, Privacy & Governance

Access control via CKN Core, data masking, configurable retention, and audit logs for who viewed which image, when, and via which app.

Edge inference Cloud orchestration Event-driven Multi-tenant

# Simplified architecture (conceptual)

CCTV / IP Cameras / Scanners rtsp:// · onvif:// · scan://

METRIX EDGE Node Edge

pre_process(frame)
resize / normalize
roi mask

qc_model.detect()
ppe_model.detect()
lpr_model.read()

emit_event()
buffer_snaps()
send_metrics()

Inno Digital Biz · Vision Control Plane Cloud

registry.models
registry.pipelines
devices & cameras

dashboard.metrics
alert.rules
image.review.ui

CKN Server · Integration & Event Bus Core

route → MES
route → TMS/WMS
route → ERP/CRM

publish: "defect.detected"
publish: "safety.alert"
publish: "doc.ocr.ready"

notify: GENEX
update: dashboards
log: CKN Observability

*Actual implementation is tailored per customer (on-prem, private cloud, or hybrid) with security & compliance aligned to enterprise policies.

Technology Stack

Powered by CKN Technology & Modern Vision AI

We combine proven open-source components, cloud-native services, and the CKN Framework (Core, Data, Server, UI) to deliver maintainable, observable, and secure image intelligence solutions.

CKN Core

• Identity & access (RBAC/ABAC)
• Tenant & app management
• Configuration & feature flags
• Audit & policy enforcement

CKN Data

• Time-series metrics and events
• Image snapshots & annotations
• Model & pipeline metadata
• Analytics views & dashboards

CKN Server

• REST/gRPC APIs for events & images
• Integration adapters (MES, ERP, TMS/WMS)
• Event bus & workflow triggers
• Edge node registration & control

CKN UI

• Camera/line dashboards
• Review & re-label interface
• Alert & event timelines
• Integration with GENEX experiences

vision-pipeline.yml

pipeline: qc_line_01
inputs:
  - camera: rtsp://line01-cam03
steps:
  - name: pre_process
    ops: [resize:640x640, normalize]
  - name: detect_defects
    model: yolov8_qc_v3
  - name: post_process
    ops: [nms, threshold:0.5]
outputs:
  - type: event_bus
    topic: qc.defect.detected
  - type: snapshot_store
    keep_last: 50

observability.log

[METRIC] vision.qc_line_01.fps = 19.2
[METRIC] vision.qc_line_01.latency_p95 = 230ms
[EVENT]  qc.defect.detected count=2 batch=2025-11-22-01
[ALERT]  safety.ppe.missing severity=HIGH cam=gate-02
[TRACE]  event_id=abc123 span=ckn-server → mes-adapter

security-policies.yml

policies:
  - name: hide-faces-for-reviewer
    roles_deny: ["external_auditor"]
    action: blur_faces
  - name: limit-export
    roles_allow: ["admin","qc_manager"]
    action: export_images
  - name: delete-after-retention
    retention_days: 30

Bring Computer Vision into Your Operations – Safely and Practically

Whether you are starting with a single pilot camera or planning a plant-wide rollout, Inno Digital Biz and the CKN Technology team can help you design the right architecture, select the right models, and integrate Image Processing Intelligence into your existing systems.

Contact Inno Digital Biz Call Us: (+66) 65-518-5509

Image Processing Intelligence by Inno Digital Biz · Powered by CKN Technology · Integrated with Inno Supply Chain Biz, GENEX, and METRIX EDGE.

Image Processing Intelligence Platform