AIVT-OV Product Introduction


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⚙ Introduction

AI Vision Toolkit for OpenVINO(hereinafter referred toAIVT-OV), VIRobotics Intelligence (VIRobotics) Development of a AI Kit, designed LabVIEW User design. It will Intel OpenVINO™ Deep integration of powerful deep learning inference capabilities LabVIEW A graphical development environment that helps usersMore open, flexible and efficientways to deploy various AI model to achieve image processing and visual recognition tasks in industry and research.

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✨ Design intention

In the context of deep learning models widely used in industrial vision, many LabVIEW Engineers face inability to call mainstream AI problems with the model. AIVT-OV came into being, the goal was LabVIEW The user provides a “No need Python/C, drag and drop to complete AI Inference” development platform, significantly reduced AI Hand-to-hand threshold, while ensuring industrial-grade stability and performance.

💡 Core Features

  • Fully Graphical Programming: based on LabVIEW, no need to write Python or C++ Code

  • Support mainstream AI Framework: Compatible PyTorch, TensorFlow, ONNX, PaddlePaddle equal model format

  • multi-chip acceleration: Make full use Intel Architecture (CPU / Integrated graphics / Discrete graphics / VPU) for efficient inference

  • Rich model support: Support image classification, target detection, instance segmentation, semantic segmentation, text recognition, generation. AI Common tasks such

  • Modular structureThree modules: opencv_yiku / OpenVINO / ModelZoo Decoupling independent, flexible combination

  • Complete deployment mechanism: Support packaging EXE, deployment side activation, permanent offline operation

  • Compatible with mainstream cameras: Support USB Camera, webcam, industrial camera image acquisition

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🧩 Model and architecture support

CategoryDescription
Model SourcePyTorch, TensorFlow, ONNX, PaddlePaddle, etc
Supported FormatsONNX, OpenVINO IR, Paddle Model
Hardware accelerationIntel CPU, Intel iGPU, discrete graphics (such A770), NPU
common algorithmYOLOv5~YOLOv13(detect), DeepLabV3/V3, SAM, OCR, image generation, etc.

🎯 Applicable User Groups

AIVT-OV Particularly suitable for the following user types:

  • LabVIEW Engineer: Hope will AI Ability to seamlessly integrate LabVIEW System

  • Industrial Vision Developer: Requires deployment based on Intel of the hardware AI model recognition system

  • Universities/researchers: Carry out AI Visual teaching, scientific research project or joint demonstration of software and hardware

  • AI Beginners: No code experience can also be used to implement model calls by dragging modules.

  • System Integrator: Requires large scale deployment EXE or install the program and enable quick activation

🏭 Typical application scenarios

  • image processing and analysis

    Visual identification tasks such as factory automation inspection, quality control, item classification, etc.

  • AI Visual Model inference

    For image classification, object detection, semantic segmentation, OCR and other application scenarios

  • Accelerate deployment of edge devices

    in carrying Intel Hardware edge-side execution model inference for low latency, high performance

  • Vision System Integration

    Combine industrial cameras, custom models and external devices to build a complete intelligent vision system

📬 Contact Us

For product demonstration, technical support or commercial license, welcome to contact: