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.
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.