High Performance Image Processing for Industry-4.0

Author: Fyodor Serzhenko

Our world is in the process of significant transformation regarding the way how we produce products thanks to the digitization and automation of manufacturing. This transition is so compelling that it was called Industry 4.0 to represent the fourth revolution that has occurred in manufacturing.

  • The first industrial revolution - mechanization with water and steam power
  • The second - mass production and assembly lines using electricity
  • The third - computers and automation
  • The forth (Industry-4.0) - smart autonomous systems fueled by data and machine learning


Image Processing for Industry-4.0


Imaging applications in Industry-4.0

Imaging applications plays important role in Industry-4.0 ecosystem:

  • autonomous robots, self-driving cars and drones
  • augmented reality
  • artificial intelligence systems, big data and analytics

Cameras are eyes in many modern industrial applications and with the further progress of neural networks and AI systems, performance of machine vision systems will eventually overcome human abilities. In a new era, cameras will see much better than humans, understand images better and faster, will be able to work continuously and precisely. Literary, computers with cameras will be able to see everything and that will greatly affect different levels of our everyday life.

Current progress in imaging applications is based on new achievements in the following fields: image sensors, electronics, interfaces, illumination, lens, software and hardware. We see a tremendous boost in all these fields and now you can't be surprised with 8K video processing in realtime. Moreover, you can expect to get that data processed and analyzed as well. That could already be done with contemporary imaging systems.

GPU-based image processing can significantly improve both performance and image quality in industrial vision applications. This is important step towards faster imaging solutions. Such a processing could be boosted by AI software which could run on the same GPU. Quite often, modern GPUs have hardware-based cores for AI applications and we can build the whole pipeline on GPU to accomplish full task in realtime, starting from raw data acquisition to final AI task.

Success in today’s Industry-4.0 market requires a unique combination of hardware, software and AI solutions working together. Our GPU-based image processing solutions are constituent parts of imaging products. We cooperate with many companies in different fields and we see increasing demand for high performance imaging applications on the market.

What we can offer for VR, autonomous robots, cars and UAVs

Fastvideo company has developed a high performance GPU-based comprehensive image processing SDK which is widely utilized in various camera applications. We can do RAW image transform to RGB very fast on GPU and that feature is important for any imaging system. High quality, low latency, fast performance - these are essential issues for modern imaging applications. Any camera application has to convert RAW to RGB, apart from all other important functionality which could include objects recognition and classification, feature extraction or any other task for neural networks and AI.

We supply imaging solutions mostly for developers, not for end users. Among our customers there are camera manufacturers, system integrators, startups, internet providers, well-known companies from various industries. Imaging applications are so widespread, that it's difficult to say where they can't be utilized.

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