From "Independent Operation" to "Deep Integration" Cloud Training Platform Empowers Visual Devices to Open a New Era

Enough computing power, AI generates intelligence

Embrace the cloud model and let innovation accelerate to its fullest extent

achieve industrial AI quality inspection, it actually requires extremely high capabilities in algorithms, especially in the detection of small defects, the learning ability from small samples, the requirements for semi-supervised learning, and the need for rapid training.

Therefore, Keye Tech has independently developed the full-stack KVIS-Cloud training platform. This platform is based on the self-developed AI visual algorithm library of Keye Tech and builds industrial AI visual inspection models for common scenarios in the cloud in a one-stop manner.

n The model pool contains a vast number of AI models, and they can be used upon login!

n Log in from any computer with an internet connection and you can use them, regardless of the device!

n Step-by-step training process, with extremely low barriers!

n Cloud-based training, supporting GPU/CPU inference, with extremely low investment!

Fully in-house developed, defining a new paradigm for “intelligent equipment”

KVIS Cloud Training Platform by Keye Tech leverages deep learning and cloud computing architecture to integrate distributed computing resources with elastic storage capabilities. It delivers end-to-end AI model training, centralized computing power scheduling, and data management functions. The platform achieves high synergy with KVIS Technology's distributed software architecture, supporting large-scale batch deployment. It optimizes distributed training and task scheduling across multiple users and devices, enabling efficient AI model deployment.

KVIS-Cloud Training Platform Features:

n Solving the challenges of sample dependency and model scarcity: The platform features a built-in repository of large pre-trained models, continuously refining and consolidating industry-specific models. It supports few-shot learning (enabling rapid model creation with just 40-50 sample data points), meeting the fast modeling demands of diverse industrial scenarios.

n Equipped with intelligent sample generation technology: Automatically generates diverse training samples based on real defect characteristics and industry scenario patterns, covering long-tail defects and extreme operating conditions. This rapidly expands data volume, enhancing model generalization capabilities and detection robustness.

n Accelerate model training and deployment: In industrial quality inspection scenarios (such as plastic packaging products and electronic component inspection), achieve end-to-end training and deployment within 4-5 hours; in intelligent sorting scenarios, enable rapid training and deployment within 1 hour, significantly shortening the AI application implementation cycle.

n Solve training computing power allocation issues: Centralized training resources with multi-device sharing; rapid model updates; automatic optimal resource allocation.

n Solving engineering management challenges: Centralized data storage; operation logs.

n Reduce data issues caused by human error: User management, permission management; Data recovery (for non-human-damaged data).

Five core functions, solving the problems of industrial AI implementation

The implementation of artificial intelligence always cannot avoid the three core elements of "data, algorithm, and computing power". The KVIS-Cloud Training Platform of Keye Tech starts from the industry pain points and uses technological breakthroughs to bridge the "last mile" for the implementation of artificial intelligence.

n Cloud Features

Data Synchronization: Upload local data and download from the cloud.

Training: Enables users to utilize cloud training resources locally.

Model Download: Allows users to log in to their accounts on any device and download models.

Integrated Cloud Operations: Supports data upload, online annotation, simulation training, model training, and model download.

Task Dashboard: Provides visibility into task status and progress.

n Model Resource Pool

Multi-Model Resource Pool: KVIS Cloud Training Platform's vast repository of pre-trained models addresses diverse defect detection needs across industrial applications.

AI-Driven Defect Detection: Leveraging AI's high adaptability and abstraction capabilities, we uncover previously undetectable defects while ensuring comprehensive detection of all identifiable issues. Root cause analysis of these defects is then integrated into corresponding model pools.

n Computing Power Management Features

Resource Scheduling: Automatically optimizes allocation of computing resources during multi-user, multi-task scenarios; supports automatic queuing.

n Data Management Capabilities

Data conflict management.

Supports data viewing and note editing.

n User Management Features

User Account Management: Account credentials, single sign-on; supports adding and removing users (administrators).

Adapt to the specific situation and enable AI algorithms to think "like a brain"

Keye Tech AI algorithms are tailored to the specific needs of each industry, moving away from a one-size-fits-all approach.

1-Hour Model Training: Speed Champion in Intelligent Sorting Tracks

Addressing the pain points of “diverse products and fluctuating demands” in agricultural scenarios, KVIS-Cloud Training Platform by Keye Tech supports “localized annotation, training, and deployment.” Data collected can be directly imported into the KVIS-Cloud Training Platform without copying data or switching terminals. Within one hour, a model for a single material can be established and deployed, eliminating concerns about material or model changes. This approach frees AI usage from time constraints.

Small-Sample Training: The Efficiency Champion in Industrial Quality Inspection

Industrial quality inspection scenarios are complex and diverse, making sample data collection challenging—especially for scarce samples. KVIS-Cloud Training Platform's model pool from Keye Tech can perform defect annotation and generation using collected defect and non-defect samples based on sample conditions. Model accuracy continuously improves through data accumulation, reducing misjudgments and missed detections to help enterprises lower defect rates. Simultaneously, inspection efficiency surpasses traditional manual methods by over tenfold.

Overall, the KVIS Cloud Training Platform addresses efficiency challenges in model development and operations during AI deployment at scale, accelerates AI project development cycles, and ensures model consistency and stability.

From “manufacturing” to “intelligent manufacturing,” Keye Tech has consistently centered its efforts on full-stack self-developed technologies to advance visual inspection upgrades and reduce costs, while empowering flexible and efficient sorting in industrial and agricultural applications. It serves not only as the “intelligent brain” of equipment but also as the core engine for solving challenges in industrial AI implementation and enabling smart upgrades across manufacturing and agriculture.