Material-handling tasks can be dangerous, as they require repetitive movements that can cause strain or injury. To increase their safety, employees should also learn about ergonomic posture and lifting techniques.
Many executives are tempted to wonder if a simpler, more efficient way exists. Some have started investigating automated material handling technology that works with artificial intelligence. They believe AI can create safer workplaces if it helps employees with tasks, or takes over the entire task so they can move on to less strenuous and more rewarding work. What are some of the emerging possibilities in AI?
Handling Dirty or Dangerous Tasks
“AI could be a game changer for dangerous or dirty tasks in industrial environments that involve handling heavy, cumbersome or heavy things.”
Some mining leaders, for example, have used artificial intelligence in ore sorting. The technology can identify and separate the valuable materials from the waste, improving a process that previously required a lot of manual labor.
Conveyors also play a key role in industries such as mining and transportation, which require the movement of goods quickly and consistently. Installing cameras that use computer vision and machine learning to verify whether materials meet quality standards or are defective is a practical way to combine AI with conveyor belts.
Versatility to meet industry-specific needs
AI-powered systems for material handling can also be beneficial because many vendors have options that are tailored to specific industry needs. AI technology for material-handling systems often includes sensors, advanced camera and other integrated features, which allow the equipment recognize and react to environmental obstacles.
Plastic pallets are preferred by food and pharmaceutical companies because they are non-porous. This makes them more sanitary compared to wood alternatives. The smoothness of the material makes it ideal for use with automated systems such as cobots, guided robotics or lifts. Artificial intelligence can increase productivity and reduce mistakes, allowing companies to achieve their goals while reducing injury rates.
Improve Human Workflows
AI investments in material-handling are designed to reduce or eliminate activities which often lead to accidents and other safety issues. Although the technologies are still in their early stages, there are many reasons to be excited when industrial leaders consider the possibilities.
In one instance, a technology used for autonomous forklifts or reach trucks generated more than 16,5 million data points every second using each of its cameras. This allows material-handling equipments to detect obstacles and respond quickly. This system requires human supervision, showing how jobs could change in the near future when workers can reduce or eliminate time spent doing potentially dangerous tasks at work.
Combining AI with Accountability
Many leaders today are motivated to optimize material handling with artificial intelligence. Even if they invest the most advanced systems, they still need to devote enough time and resources to train workers, keep their skills sharp when their roles change, as well as create a work environment in which everyone understands their role and maintains safety.
When people realize the importance of personal accountability, it is possible to apply this commitment to any material-handling tasks, whether or not AI helps them.
Robotics