Conclusion and Outlook
We at DHL recognize that computer vision has reached a level of maturity that now ensures exponential growth in implementation and use cases. Recent advances in computer vision technology – particularly depth perception, 3D reconstruction, and interpretation of dark and blurred images – are broadening the field of applications for computer vision in logistics operations along the supply chain.
In the immediate future, we anticipate increased investment in artificial intelligence (AI), not least because of society’s growing interest in generative and interactive AI such as ChatGPT and Alexa. Boosted investment will be essential to further advancement of computer vision solutions, as AI underpins image recognition.
In terms of the solutions themselves, many are hardware agnostic, but it is often necessary to upgrade older camera technology and there is still a need for more cameras, especially in outdoor operations and for high-definition applications. It is essential to enable effective communication between cameras, sensors, and other elements of the AI-power computer vision system, achieving a seamless view in multi-target, multi-camera object detection and tracking.
Further development is also required in the visual identification of materials such as frosted glass and objects with reflective surfaces. Better cameras will deliver higher quality output resulting in more proficient machine learning, allowing the system that once struggled to recognize a surface to subsequently identify it without any difficulty.
Computer vision represents an intrinsic part of the overall automation and digitalization of logistics, reshaping the future of an industry that unites us all. Its solutions will underpin and drive future logistics to achieve more efficient processes as well as safer and truly sustainable operations.
Today at DHL, we are closely monitoring the maturation and further development of computer vision. By collaborating with our partners and customers, we intend to drive technological advances that will enable implementation in all logistics operations and across the entire supply chain.
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