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 a 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 custom 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.

ROI in 1.5 years

Efficient picking result in a quick return on investment

99.99% accuracy

Verified with WCS/WES system and correct wrong data

Typical application
Typical case

To accelerate the advent of autonomous robotic perception and manipulation

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