Skip to main content

Introduction

What is ANSDL​

ANSDL, developed by ANSCENTER, is a collection of LabVIEW VI toolkits that allows you to integrate and deploy various AI models and vision functions directly into your LabVIEW projects.

Each toolkit (function set) is designed to work with specific AI model/function, allowing user to seamlessly interact between AI models and industrial automation systems directly inside LabVIEW workflows without needing in-depth AI or programming knowledge.

Key Features​

  • Backward Compatibility: Fully supports models developed with ANNHUB, DLHUB, and ODHUB, ensuring a smooth transition from older platforms.
  • Advanced Object Detection: This feature is a testament to the versatility of our new API. It supports a wide range of customized models, including YOLO v4, YOLO v8, and YOLO v9, catering to various object detection needs and sparking your creativity.
  • Enhanced Face Detection: Provides robust and reliable face detection capabilities for various applications.
  • Versatile Segmentation: This feature features the Segmentation Any Thing (SAM) model for precise segmentation of various objects in complex environments.
  • Multilingual OCR: Our API offers Optical Character Recognition (OCR) capabilities in multiple languages, empowering you to create applications with global usability and reach.
  • GPU Support: Fully compatible with Intel and NVIDIA GPUs, delivering improved performance and efficiency.
  • Optimized for NVIDIA: Includes specialized model optimization for NVIDIA GPUs using TensorRT, maximizing computational efficiency and speed.

This toolkit is your gateway to incorporating cutting-edge deep learning functionalities in your LabVIEW projects, ensuring your applications stay at the forefront of technology.

Included Toolkits in ANSDL​

info

Each toolkit in ANSDL requires a separate license key. Make sure you have the appropriate license for the specific AI function or model type you plan to use in LabVIEW.

ANSDL license list:

  • ANNHUB-LV: Run machine learning models trained in ANNHUB.

  • DLHUB-LV: Run deep learning models trained in DLHUB.

  • ODHUB-LV: Run object detection models trained in ODHUB.

  • ANSTS: Run detection, classification, or anomaly models trained in ANSTS (ANS Training Studio).

  • ANSFR: Perform face recognition in LabVIEW applications.

  • ANSOCR: Execute optical character recognition (OCR) to extract text from images.

  • ANSALPR: Implement automatic license plate recognition (ALPR).

  • ANSCV: Connect to various cameras and utilize computer vision tools to support image capture and analysis.