In the pharmaceutical industry, bags containing raw materials are random-sized, easy to deform or wrinkle, and can weigh up to 50 kg, affecting vision recognition and picking. In the pharmaceutical distribution industry, large volumes and various types of carton boxes make great demand on throughput. High-value and fragile drugs also call for high accuracy and stability.
XYZ Robotics' deep learning algorithm supports model-free recognition of 10,000+ types of bags and carton boxes. XYZ Robotics' motion planning algorithm can automatically generate the optimal trajectory and achieve 600 cycles/hour. The customized plug-in grippers help to pick and place stably. The accuracy of the vision system is up to 99.99% with a ≤0.05% dropping rate.
A large pharmaceutical company
• The customer requires the robot to depalletize and palletize the bags between the cage cart and the conveyor
• The cage cart is 2.5 meters high, so the limited working space for the robot makes a great demand on motion planning algorithm
Our solutions
• XYZ vision algorithm performs well in resisting interferences such as bags' uneven edges and wrinkles
• XYZ motion planning algorithm ensures a collision-free and optimal trajectory between the cage cart and conveyor
A large pharmaceutical group
• The customer requires bag and tote depalletizing and palletizing to achieve automated inbound and outbound
• The bags and totes can weigh up to 50 kg, requiring firm pick picking
• The limited story height leads to a compact working space
Our solutions
• Accurately recognize deformed bags and stably pick bags and pallets with customized plug-in grippers
• Use our eye-in-hand camera to scan 2 m stacks in a limited space and ensure precise recognition of closely arranged totes
• Mobile robots on tracks can work for 10 depalletizing sites flexibly
A well-known pharmaceutical company
• The robot needs to pick medicines from thousands of SKUs and place them in specified order boxes, thus achieving automated outbound
• The medicines are packed in bottles, bags, and boxes in the form of individuals or sets. These are visually confusing.
Our solutions
• Precisely recognize the medicines in different packs and forms
• Verified with the vision and the weight sensor, the robot handles with a high picking accuracy of more than 99.9%
• Release gently from 2 cm above to avoid damaging medicines
A leading pharmaceutical distribution company
• The customer requires the robot to depalletize and palletize 10,000+ types of carton boxes for inbound and outbound automation
• Robots should prevent the carton boxes with high-value medicines from dropping or over-pressing
Our solutions
• Recognize 10,000+ types of carton boxes (model-free)
• Effectively resist visual interference like tapes, straps, densely packed ones with the same color, various patterns, etc.
• Handles with an extremely high accuracy of 99.9999%
• Dynamically adjust the speed for stable picking and optimal throughput