AI and machine learning techniques are being increasingly integrated into machine vision systems. This enables more advanced image analysis and pattern recognition capabilities, leading to improved accuracy and efficiency in inspections.
Traditional 2D machine vision is being complemented by 3D vision technology. 3D imaging allows for more accurate measurements and depth perception, enabling applications such as robot guidance, dimensioning, and shape analysis.
Advances in camera technology have resulted in higher resolutions and faster frame rates. This allows for more detailed and faster inspections, facilitating real-time decision-making and enhancing productivity.
Machine vision is being integrated into smaller, compact devices and systems. Embedded vision systems are becoming more prevalent, enabling applications in mobile devices, robotics, drones, and autonomous vehicles.
Machine vision systems are being connected to the IIoT infrastructure, enabling data sharing and remote monitoring. This integration improves overall process efficiency, predictive maintenance, and quality control.
The cost of machine vision systems is decreasing due to advancements in technology, such as more affordable cameras and sensors. This cost reduction allows for wider adoption across various industries and applications.
Overall, the machine vision market is experiencing significant growth and innovation. The integration of AI, advancements in 3D imaging, faster and higher-resolution cameras, embedded systems, IIoT integration, the need for massive amount of data and visual content to be transferred has never been greater. BKSTEC has developed customized fiber optic connections for an expanding list of applications that enables these advancements and solutions to come to life.