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Devices and Technology - Injection
Automatic assembly machine for safety syringe
Automatic assembly machine for safety syringe

Safety syringes with features of preventing reuse and accidentally stabbing protect front-line medical staff and personnel handling the disposal of hazardous wastes and have increasingly evolved into mainstream medical consumables in this field.To meet the growing and pressing market needs, Maider has independently developed an automatic assembly line for safety syringe, an industry-leading intelligent manufacturing system for medical consumables. Deviating from traditional manufacturing that relies on manual assembly, this system, including material loading, heating, detection, and sheath pressing, is fully automatic and encompasses the entire manufacturing process, ensuring the efficient and reliable assembly of safety syringes. This approach saves considerable labor costs for clients, significantly improves productivity, and helps clients gain competitive advantages in the market.

Application finished product
Safety Syringe
High automation/specifications. In contrast to traditional manufacturing that relies on manual assembly, the fully automatic assembly process effectively ensures a high level of product cleanliness, significantly increases the yield rate, and leads to meaningful improvement in productivity
High quality/accuracy. This assembly line, made possible by precise mechanical structure, unique process design, and servo systems with high accuracy, achieves highly-accurate assembly. Thus, the final safety syringe is comparable with those from world-class medical enterprises in quality
Modular design. This design facilitates layout and installation according to clients' actual manufacturing environment while allowing easier maintenance and repair
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