Smart Camera with Deep Learning Accelerator

Vision AI

  • 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 inference system with full hardware access and flexible software options

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.

At the heart of VisionAI is a Quad Core ARM Cortex-A53 processor with a modern Debian-based Linux operating system and a clock speed of 4x 1.8 GHz, as well as an integrated Google Edge TPU that supports TensorFlow Lite and AutoML Vision Edge. The global shutter CMOS sensor used has a resolution of 5 megapixels and achieves a frame rate of 65 full frames per second. For communication with the connected machine or process, 2 digital inputs and 4 digital outputs as well as an Ethernet interface with 1000 Mbit/s are available. This performance in combination with the extremely small design of only 50 mm × 50 mm × 40.1 mm, a robust housing and the possibility of connecting C-mount lenses in an optional protective housing makes VisionAI the perfect embedded vision solution for AI, Deep Learning or Machine Learning applications.

Simple configuration with ViewIT
Most industrial cameras and vision sensors already include user software that allows image display and camera configuration. The VisionAI can be put into operation, but for special applications and image processing tasks, the software must first be developed. This takes a lot of time and development effort. ViewIT offers a faster solution.

ViewIT is a framework that allows image processing applications to be developed quickly and cost-effectively – without having to write a single line of code outside of image processing itself. A graphical user interface with intuitive functionality and easy-to-configure software modules allow any automation engineer to access machine vision.

Basic applications as counting, vibration control or kinematic monitoring will be an integral part of ViewIT. Regarding your individual application, IMAGO technologies can provide the algorithms used in the ViewIT environment.

VisionAI can be used in numerous sectors of industry. Some examples where this embedded vision solution with AI capabilities is particularly suitable are the following industries:

Food & Beverage
Many products in the food industry are not visually identical when they are manufactured, but are subject to natural variations. For example, no ham, frozen meal or cereal bar is 100% like any other similar food, and yet a vision system must be able to classify products as good or bad. In such cases, VisionAI is the perfect solution due to its integrated capabilities for AI, Deep Learning and Machine Learning.
Further sample applications

When people’s health depends on the reliability of an image processing system, safe solutions are required. In the pharmaceutical industry, this is the case with the production of many drugs. VisionAI gives users the guarantee they need to make the right decisions and, for example, reliably detect faults in the contents or packaging of medicines and sort out the affected products.
Further sample applications

Conditions in the industrial production of all kinds of goods are often harsh and require robust machine vision systems that can withstand these conditions in terms of temperatures, dirt or ambient light, for example. In addition, production lines increasingly have to be designed flexibly to allow for quickly changing product variants. As a robust smart camera with AI options, VisionAI meets the requirements in terms of robustness and flexibility in many cases.
Further sample applications

Electronics production
The manufacture of many electronic products requires extreme precision at high production speeds. With a resolution of 5 megapixels and a frame rate of 65 full frames per second, which can be significantly increased if the region of interest is reduced, VisionAI also covers a wide range of possible use cases in this industry.
Further sample applications

Packaging & Logistics
Online trade has been growing strongly for years and requires a high degree of automation in logistics in order to be able to manage the necessary movement of goods economically. The fast and secure recognition and reading of codes and fonts, the recording of packaging sizes or the counting of deliveries are among the tasks that VisionAI masters excellently due to its performance in the areas of AI, Deep Learning and Machine Learning.
Further sample applications

In the printing industry, a high degree of flexibility is often required in order to be able to economically check rapidly changing product series with little effort. Thanks to the large number of sample applications that VisionAI provides to the user with the integrated software, simple adaptation to the respective specifications is very quickly feasible. VisionAI’s Google Edge TPU with its Tensorflow Accelerator also allows the use of this AI camera in applications with very high speed.
Further sample applications

Due to its flexibility and the extensive possibilities in the areas of AI, Deep Learning and Machine Learning, VisionAI is suitable for use in almost all branches of industry, especially for companies in mechanical engineering, for manufacturers of inspection or production systems of all kinds, such as printing, welding or pick-and-place machines, as well as for solution developers for the food, pharmaceutical, electronics or logistics industries.

Experience in the areas of Linux, AI and image processing is a prerequisite for using VisionAI for the rapid realisation of economic solutions. To make it easier for users to familiarise themselves with the embedded vision AI camera system, numerous sample programs, a comprehensive SDK and a video training course are available.

Oliver Barz IMAGO Sales ManagerOliver Barz
Sales Manager

Telephone: +49 6031-684 26 11

Oliver Barz IMAGO Sales ManagerChristoph Siemon
Sales Manager

Telephone: +49 6031-684 26 11