Visual AI technology will become the standard operating method in the logistics industry within the next five years

(Global TMT November 22, 2023) Recently, DHL released the latest trend report "Artificial Intelligence-Driven Computer Vision Technology", pointing out that computer vision technology will become an integral part of the standard operations of the logistics industry in the next five years. Computer vision is a subfield of artificial intelligence (AI). This technology enables computers and systems to extract meaningful information from digital images, videos and other visual inputs through algorithms, process them, and perform corresponding actions or provide suggested feedback. For the logistics industry, computer vision technology can be applied in four main areas:

Health and Safety: Computer vision technology can identify potential hazards in logistics facilities such as warehouses to minimize risks, prevent accidents, and improve workplace safety. In addition, the technology can identify irregular employee postures and movements, detect early signs of fatigue and track whether workers are wearing the correct protective equipment to ensure compliance and employee health and safety.

Assignment: Computer vision technology can create heat maps to analyze workflow patterns inside or outside a facility, and even act as a security guard to promptly identify unauthorized entry or intrusion.

Asset Management: Computer vision technology helps continuously monitor logistics assets and alert maintenance teams before any issues arise. Even after a problem occurs, computer vision technology can help automatically identify possible asset defects, errors and anomalies and simplify defect detection.

Shipping Processing:Computer vision technology can automate and streamline the dimensional measurement process during shipping. Accurately measuring the area or volume of an object is critical for storage capacity calculations, load planning, transportation logistics and freight billing. In addition, computer vision technology can check whether goods are compliant and correctly classify goods for the picking process, as well as automate inventory counting cycles.

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