AI-powered automated depalletizing technologies assist both workers and businesses. Find out more about these and why you need to automate this process.
What Exactly Is Depalletizing?
The process of emptying boxes or bags from a pallet is referred to as depalletizing. The goods on the pallets are usually densely packed or overlapping and might weigh more than 25 kg. Traditionally, this physically demanding procedure was carried out by people engaging in severe physical tasks like stretching, bending, and heavy lifting on a regular basis. Because of the continuous nature of this task and strenuous activity, automation has shown to be a solution that benefits both workers and businesses.
Advantages of Depalletizing
Safe Workplace Conditions
The hazardous aspect of its activities, like with any logistics organization, adds to a rather high accident rate. In fact, as per one study, 52,000 employees were afflicted with work-related illnesses. Companies incur injury claim fees, safety training costs, and legal compliance expenses as a result of putting human workers in danger, resulting in a high turnover rate. More startling were the 11 serious injuries, 13% of which were caused by being hit by a falling/moving object. Similar issues might arise during depalletizing, risking the safety of many personnel. This exhausting work might be hazardous, especially when handling materials weighing more than 20 pounds. However, automating this procedure creates a safer working environment.
A variety of Stock Keeping Units (SKU) has surged as a result of the advent of e in 2020. During the continuing epidemic, the need for physical labor in warehousing in the U.S. increased to $1.2 million. Manual pickers were compelled to work extra time and were always under pressure to lift goods of various sizes, shapes, and masses. Social distance and quarantine procedures have proven to be another major impediment for businesses, compounding an already-existing labor shortage problem.
Whether a firm is dealing with mixed-SKU pallets or many pallets of identical SKUs, robotic depalletizer systems may boost productivity, save operating costs, and provide a safer workplace. Simultaneously, the warehouse workers will be able to be freed of chronic diseases, accidents, and other health problems caused by this demanding activity. By automating the depalletizing procedure, the organization may gain the advantages of both human cognitive and artificial ability.
A Low Rate of Turnover
Businesses that automate their depalletizing procedures should anticipate a low turnover rate. In layman’s terms, they use robots that never stop or grow tired. However, a major underlying issue is the misunderstanding between employees and businesses on the benefits and drawbacks of such automated systems. According to one research, more than 70 percent of Americans are concerned that robots will replace them. These employees are ignorant of the myriad benefits that automation delivers, and in most cases, their occupations will be re-adjusted rather than destroyed. When compared to warehouse employees, robust depalletizing units in warehouses can make better use of the authorized area, including the vertical and horizontal space. It improves overall performance by allowing manual employees to focus on more value-added jobs.
For pick-and-place depalletizing activities, robotic depalletizers now include 3D machine vision and a gripper. They are made up of several cameras, vision processors, and laser sensors. A system like this captures the surroundings while also computing the locations of randomly placed items. It enables the robot to analyze each object, detect its pick point, and position it on a belt conveyor, providing a reliable method for choosing and placing unknown items of varying heights. A box containing tapes can also be recognized by the depalletizing cell as a single product rather than six individual items. Using cutting-edge vision technology enhances item segmentation accuracy, allowing robots to choose things of varying sizes from a randomized stack. Some vision software supports object classification and segmentation in order to handle items differently while conducting quality checks.
Robots can easily unload overlapping goods or shining things due to AI-driven vision technology and machine-learning algorithms. With such powerful vision software, a robotic depalletizer system can manage a continuous stream of mixed-SKU packages in any sequence.
Based on the programmed neural network, the vision technology segment classifies, and recommends over 100 grab postures per second, allowing robots to operate quicker in tough surroundings. In general, it eliminates typical human handling errors while keeping a consistent throughput rate.
Ultimately, automating the depalletizing procedure is no longer as difficult as it once was. Thanks to deep-learning technologies, warehouses may now utilize an appropriate robotic depalletizing unit with a cutting-edge camera system and a suitable gripper to carry the heaviest of products.
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