The explosion in the visual data volume will unleash a new generation of Computer Vision era propelled by AI
The increased sophistication of artificial neural networks (ANNs) coupled with the availability of AI-powered chips have driven am unparalleled enterprise interest in computer vision (CV). This exciting new technology will find myriad applications in several industries, and according to GlobalData forecasts, it would reach a market size of $28bn by 2030.
The increasing adoption of AI-powered computer vision solutions, consumer drones; and the rising Industry 4.0 adoption will drive this phenomenal change. Here are the top computer vision trends that will be behind the growth of computer vision for modern enterprises-
Deep learning has bought a new change in the role of machine vision used for smart manufacturing and industrial automation. The integration of deep learning propels machine vision systems to adapt itself to manufacturing variations. This radically enhances the value proposition for machine vision by bringing a rapid change into accelerating inspection processes, increasing productivity in applications and operational efficiencies.
3D image processing will steadily grow along with machine vision. 3-D imaging technology is becoming more targeted for specific applications like high-speed imaging, surface profiling and robot guidance which require extremely accurate and reliable 3D images.
There has been a proliferation of 3D imaging technology finding its applications into stereo vision, and structured lights and the applications are only bulging.
Thermal vision has been traditional, being used for security, public safety and defence. In the times to come, expect thermal imagery integrated with computer vision to offer solutions to the issues which cannot be seen by the eye or standard camera systems.
Thermal imaging offering non-destructive testing and non-contact precision temperature measurement will see an incredible growth into machine vision and automation control applications.
Embedded vision integrates image capture and processing capabilities to a single device. This computer vision technology has found its way into many industrial applications which include sorting systems that demand inspection services. Besides, manufacturers have even integrated embedded vision into autonomous drones, smartphones and self-driving automobiles.
With an increase in camera resolutions and improvements in pixel resolution, component lens suppliers are on the mission to supply enhanced lenses used for industrial applications, especially that into heavy industry. In a bid to improve the speed and alacrity, liquid lenses will be a new trend that would focus almost instantly with a change in current or voltage without any requirement of mechanical changes of conventional lenses.
In a crux, Artificial intelligence (AI) technologies, like computer vision, are effective at monitoring public spaces via data sensors and cameras. They have a promising future application and would even help to track social distancing in the modern post-COVID-19 world.