Box printing device for logistics: Completely eliminates human error.

basic information

【Features】 - Direct printing of barcodes, expiration dates, lot numbers, etc., on cardboard and product boxes - Eliminates the need for label paper, providing a cost advantage - Eliminates errors in date stamping, label application, and misalignment caused by manual work - No need for individual ordering and storage of printed cardboard for each item - Achieves accurate printing by integrating with production management systems and core systems 【Our Strengths】 We continue to challenge ourselves with speedy and stable quality by maintaining consistent production in-house, including design, manufacturing, assembly, and electrical control, in automated machine production. We listen to our customers' needs and provide clear proposals. We can also accommodate design changes for sequence programs and touch panels, as well as in-house design and manufacturing of control panels that consider ease of use. We thoroughly manage quality, cost, and delivery times through in-house component production, and we take full responsibility for accurate assembly and on-site installation by skilled employees. We also have video introductions on YouTube, so please take a look.

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Applications/Examples of results

■Diamond Saw Cutting Machine (Automatic Pipe Cutting Machine Using Image Processing Technology) The "Chikyu," belonging to the Japan Agency for Marine-Earth Science and Technology, has successfully achieved the world's first rare earth mud collection. Our FA technology is utilized in the important process of "pipe cutting" after the recovery. ■Vacuum Suction Palletizing Robot Since it is necessary to stack items high, it has a longer vertical reach than a standard robotic arm. It automates the heavy labor of lifting and stacking cardboard and other materials using suction cups. ■High-Speed Bulk Picking System Parts stacked randomly are recognized by a 3D sensor and image processing engine, allowing the robot to pick them up at the appropriate angle. ■AI Visual Inspection Integrated Robot By utilizing deep learning for image analysis, it can distinguish scratches, dirt, and foreign matter. Only products that pass inspection are conveyed to the next process. ■Image Processing × Robot Conventional robotic systems have excelled at performing "repetitive tasks" by moving items in predetermined positions as instructed. By integrating an image processing system (machine vision), robots have gained the "flexibility" to assess their surroundings in real-time.