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Devices and Technology - Blood glucose

Automatic assembly machine for insulin syringe

Traditional manufacturing of insulin syringe requires separate production of syringe components through different systems, followed by manual assembly. Such manufacturing is labor-intensive and leads to procedural difficulties and low yield rates. Concurrently, the entire process may be easily contaminated, significantly hindering productivity improvement.Against this bottleneck in the industry, Maider has independently developed an automatic assembly line for insulin syringe, an industry-leading intelligent manufacturing system for medical consumables. Deviating from traditional manufacturing that relies on manual assembly, this system is fully automatic and encompasses the entire manufacturing process, ensuring the efficient and reliable assembly of insulin syringe and helping large-scale medical enterprises achieve digitalized manufacturing, which minimizes their order delivery time and production costs.

Features

High automation/productivity. In contrast to traditional manufacturing that relies on manual assembly, the fully-automatic assembly process, using high-speed centrifugal material supply, sorting, assembly, and other technologies, reduces labor costs, effectively ensures a high level of product cleanliness, significantly increases the yield rate, and leads to meaningful improvement in productivity

High accuracy/quality. This assembly line, made possible by precise mechanical structure and unique process design, achieves adhesion, positioning

needle down, siliconization, and assembly with high accuracy. A highly-accurate servo mechanism leads to smooth operations and ensures that the final insulin syringe is comparable with those from world-class medical enterprises in quality

Intelligent detection. This system integrates a CCD intelligent detector module and an independently-developed image algorithm to realize the automatic detection of product defects in multiple processes

Real-time data collection. This system integrates a data collection module and forms data charts at the terminal to facilitate intelligent manufacturing

Remote diagnosis. This system integrates the module of Internet of Things for such a diagnosis