AI‑Powered Smart Manufacturing

AI‑Powered Quality Inspection & Yield‑Improvement Solution – achieving over 98% accuracy to help manufacturers reduce costs, improve quality, and boost efficiency.

Solution Value

In response to the manufacturing industry's pursuit of ultimate quality control, we deeply integrate "AI + automation" technologies to deliver a full‑stack intelligent solution from perception to decision‑making. We serve not only as the eyes of the enterprise—enabling precise defect identification and classification through high‑accuracy AI vision inspection—but also as its brain—leveraging big‑data analytics and machine‑learning technologies to deeply mine production data, pinpoint root causes of persistent defects, and continuously optimize processes, ultimately achieving a dual leap in product quality and production yield.

Core Modules

AI Defect Detection & Classification System (ADC)

Utilizes industry‑leading deep‑learning algorithms to accurately identify over 100 defect types in panels, IC wafers, PCBs, automotive components, and more, with accuracy exceeding 98%.

AI Model Training Platform

A cloud‑native platform integrating data annotation, algorithm development, and model training—supporting rapid iteration and industry‑knowledge accumulation.

Yield Analysis & Management System (YMES)

Based on big‑data analytics, it traces defect root causes, provides improvement recommendations, shifts from passive detection to proactive prevention, and enables continuous yield enhancement.

Intelligent Command Center / Monitoring Dashboard

An AI‑powered visual data‑display hub that enables real‑time monitoring and smart decision‑making for quality, equipment, efficiency, and other production‑line metrics.

Intelligent Automated Equipment (AI Camera)

A series of self‑developed inspection hardware covering multiple industries—from ICs and advanced displays to automotive and packaging—delivering end‑to‑end “software‑hardware integrated” solutions.

Overall Architecture

The solution adopts an advanced "cloud‑edge‑end device" collaborative architecture:

Device End (RDI)

Deploys intelligent equipment such as AI Cameras to perform millisecond‑level real‑time inference and inspection directly on the production line.

Edge Side

Handles model deployment, edge inference, temporary data storage, and alert management—ensuring data security and real‑time performance.

Central Cloud

Enables centralized model training, unified data management, dashboard analytics, and end‑to‑end operational monitoring—guaranteeing continuous optimization and efficient system management.

Key Advantages

High Precision & Efficiency

Defect‑identification accuracy exceeds 98%, inspection speed is increased 10x, and missed‑detection rate is near‑zero—meeting high‑speed production cycles.

Full‑Stack Technology Coverage

Combines unique capabilities in “AI algorithms + intelligent hardware + industry know‑how” to deliver integrated solutions from equipment to platform.

Flexible & Rapid Deployment

Software supports multiple modes including single‑plant and cloud‑edge‑device architectures; hardware features modular design for quick adaptation to production lines of different scales and needs.

Proven Reliability

Serves many industry‑leading customers, achieving up to 80% market share in fields such as advanced displays, with mature and stable solutions.

Quantified Benefits

Performance Highlights
- Over 10 billion images processed by AI; equipment stable operation exceeding 1 million hours.
- Average inspection efficiency improved 10-fold, directly reducing labor costs by over 50%.
- Effectively lowers the risk of quality incidents, reducing customer complaints and return losses.

Application Scenarios

Automotive Industry
Provided complete‑vehicle compliance and anti‑miss‑assembly inspection of components for a top domestic joint‑venture automaker. Using a machine‑vision system, it automatically verifies the correctness of vehicle option configurations with 100% coverage and a system recognition accuracy ≥8%, eliminating installation errors and omissions.
Advanced Display Industry
Replaced manual inspection for TV‑set appearance, diffuser plates, and other stages for a globally leading display manufacturer. Successfully reduced missed‑detection rates to <0.5% and over‑detection rates to ≤5%, achieving labor substitution while significantly improving the stability and consistency of quality checks.
Metal Packaging Industry
Deployed an AI‑based color‑print appearance inspection system for a comprehensive packaging‑solution provider with revenues in the tens of billions. Through high‑speed flying image capture and a proprietary deep‑learning framework, it enables millisecond‑level defect identification and automatic material rejection, accurately detecting complex defects such as missing print, scratches, and contamination—keeping quality risks firmly under control on the production line.

Contact us to explore a custom quality‑enhancement pathway for your enterprise.

Name

Email

Phone

Company & Position

Country

Appointment Type

Additional Message