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Devices and Technology - Anesthesia
Automatic assembly machine for spinal anesthesia needle
Automatic assembly machine for spinal anesthesia needle

Spinal anesthesia needles are key medical consumables for administering anesthesia and essential to surgical procedures where anesthesia is required. Traditional manufacturing relies on manual assembly, making it hard to ensure product quality and productivity.Against the above backdrop, Maider has customized an automatic assembly line for spinal anesthesia needle, an industry-leading intelligent manufacturing system for medical consumables, based on clients' actual needs and products' technical characteristics. 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 needles for spinal anesthesia. This approach saves considerable labor costs for clients, significantly improves productivity, and helps clients gain competitive advantages in the market.

Application finished product
Spinal Anesthesia Needle
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, ensures needle bevel compatibility and realizes adhesion and assembly with high accuracy. Thus, the final spinal anesthesia needle 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
Relative Equipment