Blockbuster! MIIT Platform Features Special Focus, Highlighting Keye Technology's New Achievements in AI-Enabled Manufacturing!

Recently, the SME Information Network, under the Ministry of Industry and Information Technology (MIIT), featured an in-depth report titled "High-Speed, High-Precision Visual Inspection Equipment for Industrial Production." The report provides a comprehensive analysis of Anhui Keye Intelligent Technology Co., Ltd., detailing how the company's proprietary AI vision technology is overcoming critical industrial inspection bottlenecks and supporting high-quality manufacturing development. This serves as a compelling case study in advancing China's manufacturing prowess strategy.

The MIIT report, "High-Speed, High-Precision Visual Inspection Equipment for Industrial Production Applications," outlines Keye Technology's approach across application demands, specific initiatives, technological implementation, and measurable outcomes in empowering small and medium-sized enterprises (SMEs).

The original report is as follows:

Application Demands

The push toward Industry 4.0 and the modern manufacturing imperative for "zero-defect" quality have exposed the limitations of traditional visual inspection. Challenges include difficulty adapting to complex and variable defects, lengthy model training and deployment cycles, poor flexibility, low accuracy, and high rates of missed and false detections—all of which constrain productivity and quality. In response, leveraging over a decade of industry experience and AI technology, Anhui Keye Intelligent Technology has developed high-speed, high-precision AI visual inspection equipment. By training on massive datasets, the system achieves recognition accuracy and stability surpassing human capability. It identifies minute, novel, and irregular defects, delivering millisecond-level automated judgments to meet the stringent demands of modern industrial inspection for both high efficiency and precision.

Strategic Initiatives

Cloud-Edge-Device Synergy Enables Millisecond-Level Inference

Microsecond-level high-precision time-synchronized lighting and imaging systems, coupled with high-performance computing units, are deployed directly on production lines. This ensures stable and efficient image acquisition and real-time processing in complex industrial environments. Core inference occurs at the edge, where embedded AI models perform millisecond-level analysis on-site, enabling immediate decision-making and feedback for high-speed, high-precision inspection. The cloud platform acts as the "intelligent brain," handling model management, data storage, continuous algorithm iteration, and visual analytics. This synergistic architecture compresses single-frame detection latency (including full pre- and post-processing) to 4ms, supporting real-time inspection on production lines running at 400Hz—far exceeding the sub-100Hz capability of traditional solutions.

Building a Self-Controlled Technology Ecosystem from Chip to Application

On the hardware front, the company has independently developed microsecond-level synchronized lighting and imaging systems, employing computational optical imaging methods to suit diverse high-speed, high-precision scenarios. It has also fully developed a high-performance, low-power embedded AI edge computing platform based on domestic chips, engineered for reliable operation in harsh industrial conditions involving high temperatures, dust, and vibration. Software-wise, the product features a distributed architecture supporting million-scale device connectivity, compatibility with multiple industrial protocols, and rapid integration with central control and upstream/downstream equipment. This establishes a complete technological closed loop encompassing "algorithm acceleration, hardware design, and scenario adaptation," delivering a new generation of edge intelligence solutions that combine high performance, reliability, and technological autonomy for smart manufacturing.

Technology Deployment

1.Proprietary Visual Large Model: Built upon a visual-language model architecture and deeply fine-tuned with massive industrial visual data, the company has developed an industrial visual large model tailored for production environments. It enhances multimodal understanding, simultaneously processing images and textual descriptions to automatically parse instructions for defect localization, classification, and detection.

2.Model Lightweighting: Utilizing knowledge distillation techniques, the feature extraction and reasoning capabilities of the large model are transferred to a compact model. This enables high-precision detection at the edge, reducing reliance on high-power computing hardware.

3.High Automation from Data to Deployment: Automated annotation, feature transfer, and continuous learning mechanisms streamline the pipeline from data ingestion to model deployment, significantly minimizing manual intervention.
4.Unified Multi-Task Framework: A single model framework supports detection, classification, segmentation, and other tasks, reducing the overhead and costs associated with switching between different inspection processes.

Documented Outcomes

1. The company has empowered over 1,000 SME manufacturers to enhance quality, boost efficiency, and reduce costs. Its systems achieve over 99% detection accuracy with per-item processing in milliseconds, accelerating inspection speeds by 300% to 500% compared to manual methods. This seamlessly matches high-speed production line rhythms, eliminating bottlenecks. A single unit can replace 3-5 quality inspectors, with hardware investment typically recouped within one year, while quality-related loss costs are reduced by over 30%.

2. Cumulative product deployments have surpassed 1,000 units, generating revenue exceeding 200 million RMB (approximately 2 billion yuan). Customer satisfaction stands at 99%. The stable and high-performance inspection not only elevates clients' brand reputation but also contributes to raising industry quality standards.

3.The products have secured domestic market share in sectors including new energy, electronics, packaging, and pharmaceuticals. An internationally advanced AI inspection solution has been successfully implemented at a major liquor producer. Domestically, these solutions are progressively replacing foreign alternatives while also making strides in the international market, building influence for a Chinese brand.

Embracing this official recognition as a new starting point, Keye Technology remains committed to driving innovation, deepening its independent advancements in "AI + Vision," and continuously injecting intelligent manufacturing power into China's high-quality industrial development.

Original report link:

https://zjtx.miit.gov.cn/zxqySy/tzggView?type=classic&id=7a0363ea9e42438c9dffe064ff9858b0