VISION AI – SMART CAMERA WITH DEEP LEARNING ACCELERATOR

Summary of VISION AI – SMART CAMERA WITH DEEP LEARNING ACCELERATOR


VisionAI is a compact, freely programmable embedded AI image-processing camera with an integrated Google Edge TPU that supports TensorFlow Lite and AutoML Vision Edge. It enables rapid development of AI, deep learning, and machine learning applications—such as pattern recognition, classification, anomaly/defect detection, and code reading—by providing built-in image acquisition, I/O handling, sample applications, and support for Halcon, C++ and Python. Its integrated software and hardware access let experienced developers realize solutions quickly and adapt or create custom applications with low effort.

Parts used in the VisionAI project:

  • VisionAI compact AI image processing camera
  • Integrated Google Edge TPU
  • Support for TensorFlow Lite framework
  • Support for AutoML Vision Edge framework
  • Integrated software with sample applications
  • Interfaces for image acquisition and I/O handling
  • Compatibility with Halcon
  • C++ development support
  • Python development support

VisionAI is an embedded solution for image processing with which applications from the fields of AI, Deep Learning and Machine Learning can be easily realised. With its integrated Google Edge TPU, the real-time inference system supports the frameworks TensorFlow Lite and AutoML Vision Edge. This makes it ideally suited for tasks such as pattern recognition, classification, anomaly or defect detection in inspection applications, code reading and many other custom applications.

VISION AI – SMART CAMERA WITH DEEP LEARNING ACCELERATOR

Advantages of a complete AI embedded solution for AI-based image processing

VisionAI offers the great advantage of being a complete AI embedded solution that can be quickly adapted to the task at hand with little effort. Users do not have to deal with image acquisition, I/O handling or other essential functions, but can concentrate fully on the development of the actual image processing solution right from the start.

Realising applications within one working day is usually no problem for developers with experience in Linux, AI and image processing. The basis for this is VisionAI’s integrated software, which provides the user with a large number of sample applications. On this basis, a quick adaptation to the individual specifications can be made. Thanks to the integrated Google Edge TPU, VisionAI is particularly predestined for the creation of solutions that require the use of technologies such as AI, Deep Learning or Machine Learning.

In addition to adapting the sample applications provided, VisionAI users also have the flexibility to develop their own image processing applications based on Halcon, C++ or Python and to integrate any libraries or their own software developments. VisionAI’s free programmability makes it extremely flexible in the selection of suitable software and also allows complete access to the hardware, giving users full control over the design of their embedded solution based on VisionAI.

Features:

  • The freely programmable, compact AI image processing camera VisionAI for the rapid realization of individual Artificial Intelligence and Deep Learning systems.
  • Perfect combination of high computing power and compact image processing system
  • Integrated Google Edge TPU for TensorFlow Lite and AutoML Vision Edge
  • Open real-time infer

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Quick Solutions to Questions related to VisionAI:

  • What is VisionAI?
    VisionAI is a freely programmable compact AI image processing camera with an integrated Google Edge TPU for rapid AI, deep learning, and machine learning applications.
  • Can VisionAI run TensorFlow Lite models?
    Yes, VisionAI supports TensorFlow Lite via its integrated Google Edge TPU.
  • Does VisionAI support AutoML Vision Edge?
    Yes, VisionAI supports AutoML Vision Edge through the integrated Google Edge TPU.
  • How quickly can applications be realised with VisionAI?
    Experienced developers can usually realize applications within one working day using VisionAI and its integrated sample applications.
  • Can I develop custom applications on VisionAI?
    Yes, VisionAI allows custom development with Halcon, C++, or Python and integration of additional libraries or software.
  • Does VisionAI handle image acquisition and I/O?
    Yes, VisionAI provides built-in image acquisition, I/O handling, and other essential functions so users can focus on image processing development.
  • Is the hardware fully accessible for custom designs?
    Yes, VisionAI offers full access to the hardware enabling complete control over the embedded solution design.
  • What kinds of tasks is VisionAI suited for?
    VisionAI is suited for pattern recognition, classification, anomaly or defect detection in inspection applications, code reading, and other custom applications.

About The Author

Muhammad Bilal

I am a highly skilled and motivated individual with a Master's degree in Computer Science. I have extensive experience in technical writing and a deep understanding of SEO practices.