Machine vision

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The worldwide machine vision market had a total annual worth of $13 billion in 2021, according to Grand View Research, but that figure will have almost doubled to close to $26 billion by the end of this decade. Along with the increasing opportunities in automotive for autonomous driving, the main drivers of demand are going to be industrial inspection and robotic/AGV guidance.

The machine vision technology now being used in modern industrial facilities is far more advanced than it was in the past. There have been major progressions when it comes to the resolution and dynamic range capabilities of the image sensors incorporated. This has enabled greater scrutiny when it comes to product quality. Images can now be captured at much faster rates, enabling accelerated throughput. Alongside all this, there has been a revolution in terms of the processing capabilities involved, with more widespread utilisation of artificial intelligence (AI) algorithms to categorise objects, identify problems or flag any emergencies that need reacting to.

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In addition to conventional machine vision, there is the prospect for using augmented reality (AR) in industrial use cases. Among these use cases will be employing AR headsets to allow experts to examine items machinery located elsewhere (potentially on a different continent), so that they can determine the cause of a malfunction and work out how repairs should be conducted. AR technology will also have an increasingly important role to play in the training of factory staff, enabling them to learn vital skills within a safer environment.

AMD-Xilinx and onsemi machine vision solutions

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Smart cameras keep every thing squarely in their sights

Smart cameras can process imagery autonomously before initiating responses of their own accord. In industrial applications, they are used for quality control or to control plants and systems. As surveillance cameras, they analyze videos themselves and only alert personnel in dangerous situations.