5th Machine Vision Conference

According to Basler AG, the leading manufacturer of digital industrial cameras, the machine vision market for traffic cameras and cameras for face recognition applications is expected to grow at the highest rate in the next 2 years in Russia. Customers here are driven by two challenges including improving security and enhacing business efficiency. The latter is exremely relevant for retail environments.

Machine Vision. Embedded Vision

Embedded systems have been around for over four decades. As long as microchip technology exists. Nowadays, it's time for a fundamental shift driven by the technological progress. The idea to connect a machine vision camera to a single-board computer flows organically from the global trend of miniaturization of machine vision products and dramatic increase in performance of system components while at the same time their prices are falling.

Most of the embedded vision systems can be easier and cheaper designed to have the essential characteristics due to selection of components without excessive features at much lower costs. Embedded vision systems can be produced from standardized components which are not unique and are easy to change. It is solution providers who has better and cheaper management software will get the most out of embedded vision systems.

Machine Vision and Embedded Solutions Vendors

• Advantech
• Basler AG
• CameraLab (IDS, IMPERX, NET GmbH)
• Lex Computech
• Neousys Technology
• BIC-Inform (Kowa, Sony, CBC, Fujinon)
• XIMEA

Conference Speaking Topics

• New Markets for Embedded Vision Systems.
• The Art of Choosing a Platform for Embedded Vision Systems: Hardware, Software, SDK. Current and Future Components.
• PCI Express: The Ultimate Camera Interface for Embedded Platforms?
• Embedded Vision Systems, Two Sides of the Same Coin: Powerful Capabilities vs. Complexity. Is This Worth a Bother?
• Which Types of Embedded Vision Systems Will Be Most in Demand? Which Applications? Which Verticals?
• Leveraging Machine Vision for Traditional Applications: Safety and Security, Access Control, Traffic Management, Quality Control in Manufacturing.
• Designing Nonvolatile Traffic Enforcement Surveillance Systems Based on Deep Learning and ARM64 Architecture.
• Biometric Analytics and Machine Vision: From Identity to Emotion and Dangerous Intention Recognition.
• Industrial and Non-Industrial Applications for Embedded Vision. Why Has Embedded Vision Become Important?