The trend of Computer Vision utilizes cameras to capture photos or videos and applies artificial intelligence (AI) algorithms to analyze data extracted from this digital imagery. Rudimentary visual AI systems are trained to simply differentiate objects from each other, while more advanced versions can track objects across viewpoints and learn on their own.
Emerging from AI as a trend in its own right, Computer Vision has developed in conjunction with the advancement of deep machine learning, leveraging the rising quality and decreasing cost of camera devices. In 2020, the computer vision market globally was worth 9.4 billion USD and – as AI, vision systems, and computer processing continually improve – it is anticipated this market will more than quadruple to 41.4 billion USD in 2030. Today, advanced computer vision technology is perfecting depth perception, 3D reconstruction, and dark and blurred image interpretation, all of which will unlock more opportunities in supply chains.
The Computer Vision trend is set to highly impact logistics in the coming years. Its technology will underpin and drive future logistics, enabling more efficient processes as well as sustainable and safe operations. However, more investment is needed for this trend to be fully realized. As experienced in the early days of sensor adoption, computer vision applications must be scalable for logistics organizations to maximize benefits.