2023-10-06 09:05:56
Computer vision is a field of artificial intelligence (AI) that allows computers and systems to extract information of interest from digital images, videos and other visual inputs, and take actions or make recommendations based on that information. If AI allows computers to think, computer vision allows them to see and analyze.
The artificial vision market is booming. Experts predict that sales in this field will reach $41.11 billion in 2030, four times more than in 2020, when they generated $9.4 billion. It is a technology with a significant capacity to improve efficiency, save time, increase sustainability and reduce costs. This is one of the main conclusions of the latest report Trend Report: AI-Driven Computer Vision published by DHL.
The study identifies the arrival of computer vision as a key trend for the operation of logistics operations. The analysis shows that, in fact, artificial vision will be standardized in the logistics industry in the next five years, being applied in areas as diverse as retail, healthcare, manufacturing or disaster response and recovery thanks to its great versatility. This technology covers areas ranging from health and safety to operations, and from logistics asset management to shipping.
“Artificial vision has experienced rapid development and everything indicates that it is becoming a technology that will mark a before and after in the industry. It is an exciting time for industries and logistics managers to harness the potential of machine vision, helping to achieve more efficient processes and safer, more sustainable operations.”, explains Katja Busch, Director of Customer Solutions and Innovation at DHL (CSI),
Applications of artificial vision in the logistics industry
For the logistics industry, artificial vision provides several applications in four main areas:
Health and security– Among other things, it can improve workplace safety by identifying potential hazards in warehouses, warehouses and other logistics facilities, thereby minimizing risks and avoiding accidents. It can also improve employee health by recognizing poor posture and movement, detecting early signs of fatigue and ensuring they are wearing the appropriate protective equipment to ensure their safety and compliance with regulations.
Operations– Computer vision can create heat maps to analyze workflow patterns inside and outside a facility, and even function as a security guard by quickly identifying unauthorized entries or intrusions. It is, in short, a powerful tool to detect bottlenecks and other inefficiencies in the supply chain.
Asset Management: can help monitor logistics assets holistically and alert maintenance teams before any problems arise. Even if some unwanted situation has already occurred, it can help automatically identify faults, errors and anomalies.
Shipping processing: Machine vision offers the advantage of automating and simplifying the shipment sizing process, where precise measurements of the areas or volumes of objects are essential for calculating storage capacities, cargo planning, transportation logistics and billing of shipments. You can also verify that shipments are correctly identified for classification, as well as automate inventory counting cycles.
Challenges and concerns for the future
Although computer vision is a promising technology, it presents several challenges and concerns. For example, increasing public acceptance, particularly among citizens who are not comfortable with an environment of constant surveillance or monitoring. Cybersecurity is thus also crucial in this context, as it addresses data processing, compliance with the GDPR (General Data Protection Regulation) and other data protection and privacy laws. Addressing these challenges requires thoughtful orchestration and collaboration from all parties involved.
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