AI Vision Toolkit for OpenVINO for NI LabVIEW

Developed by Shanghai YIKU Intelligent Technology Co., Ltd. (VIRobotics), our comprehensive AI Vision Toolkit for OpenVINO for NI LabVIEW is designed to integrate seamlessly with NI LabVIEW, empowering users to leverage the full potential of computer vision and deep learning within their LabVIEW applications.

Key Features:

OpenCV Integration for LabVIEW: Utilize a wide array of OpenCV functions directly within LabVIEW, including Mat operations, basic image processing (filtering, contour extraction, line and circle detection, feature and template matching), camera capture, camera calibration, and 3D positioning.

Deep Learning Inference with OpenVINO 2025.0 of OpenVINO to perform inference on a variety of deep learning models exported from frameworks such as IR, Onnx, PyTorch, TensorFlow, and Paddle.

Object Detection Plugin: Leverage OpenVINO to deploy models for advanced object detection tasks, including YOLOv5 to YOLOv12, YOLOv8-seg, YOLOv8-pose, YOLOv8-obb, YOLOv11-pose,YOLOv11-seg,YOLOv11-obb,YOLOv12-seg,YOLOv12-pose,and YOLOv11-obb in IR and Onnx formats. Simplify deployment with just three functions: Initialize, Infer, and Release.

Segmentation Plugin: Take advantage of OpenVINO to deploy state-of-the-art segmentation models, including the official PyTorch Deeplabv3 semantic segmentation model, and our proprietary, open-source segmentation models from VIRobotics¡¯ HGNetV2-Deeplabv3 Repository, featuring Deeplabv3+, UNet, TransLab, SegFormer, and more. Model deployment is made easy with three primary functions.

Track Module(New): Introduced a new Track module to support object tracking functionality, enabling real-time tracking of detected objects and seamless integration with other vision tasks.

SAM Advanced Examples(New): Added advanced examples for the Segment Anything Model (SAM), showcasing its capabilities in complex scenarios, allowing users to explore more advanced segmentation techniques.

Local Deployment Inference for Large Language Models (LLM)(New): Integrated DeepSeek to support local deployment inference for Large Language Models, enabling robust natural language processing within LabVIEW applications.

Comprehensive Examples and Documentation: Each feature is accompanied by detailed examples and a thorough help manual to ensure a smooth integration and deployment experience, enabling you to make the most out of your AI vision projects.

This toolkit is designed to lower the barrier to entry for integrating advanced computer vision and deep learning functionalities into LabVIEW projects, providing a robust set of tools for researchers, engineers, and hobbyists alike. Whether you're working on object detection, segmentation, or any other computer vision application, the VIRobotics AI Vision Toolkit for OpenVINO offers a powerful, user-friendly solution to bring your vision to life.