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Industry Experience
Nationwide Support
R&D Team
Clients Served
JKBEAT is a technology enterprise integrating R&D and production, established in 2021. The company has a team of 120 high-quality R&D professionals, focusing on research, design, and manufacturing in mechanical automation. By integrating cutting-edge technologies such as artificial intelligence, machine vision, and mechanical automation control, we are committed to designing and developing intelligent automation equipment that can replace manual labor, improve production efficiency, and liberate productivity.
R&D Team
Production Workers
We always uphold the customer-first philosophy, establishing a comprehensive service guarantee system from pre-sales to after-sales. Pre-sales: professional team deeply understands customer needs and provides precise solutions. During sales: strictly controls service processes to ensure efficient progress of every step. After-sales: establishes 7×24 hour response mechanism to solve customer problems anytime. Whether technical consultation, troubleshooting, or requirement changes, we serve customers with a professional, efficient, and responsible attitude, providing continuous and stable service support.
Currently, our procured drugs have very high similarity, and loading errors are inevitable. Previously, when we manually reviewed, our eyes would get tired after watching for a long time, making it difficult to detect wrong drug bags. Now with this verification machine, error alarm images are clear at a glance. We can directly find the drug bag based on the error report and make corrections, ensuring the reliability of our work.
We've used other verification machines before, which required recognizing drug bags and entering drug information - lots of preparation work. Now JKBEAT's verification machine is so simple to use, zero basic knowledge required. Just put drug bags in the machine and it works. During operation, it doesn't jam bags, and verification results are always accurate, greatly improving our work efficiency and saving labor.
This verification machine photographs and archives all drug bags, so if a ward reports wrong medication later, we can use the archived drug bag images to timely discover which stage had the problem, providing traceable data basis for accountability, avoiding buck-passing, improving medical staff's sense of responsibility, and making patient medication safer.
Process analysis: comprehensively review existing production processes, identify bottlenecks and waste points, and formulate corresponding improvement plans.
"Small Cyclone" (JK-BM100) Deblistering Machine AI Visual Recognition Technology
The equipment is currently used in our hospital inpatient pharmacy, effectively solving the time-consuming, labor-intensive, and drug contamination issues of manual drug deblistering. The equipment has compact structure, beautiful and lightweight appearance, complete functions, convenient operation, and low noise. These advantages are very suitable for our pharmacy environment.
