MSeeR AI Counter transcends the limitations of conventional machinery incapable of digitization. No need for the integration of machine PLCs or databases; it can be swiftly deployed online. Employing AI algorithms, the AI counter collaborates with the operation of the equipment, utilizing data returned by sensors to detect the operational characteristics of the machinery. Through AI precision counting, it minimizes material waste, resolving the dilemma of "material intake measured by weight for suppliers and by quantity for customers." It aids clients in achieving digital management goals for productivity and performance.
Features
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Effortless installation for immediate use |
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Illuminated indicators for clear visibility |
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AI detection of consumable wear and tear |
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Instantaneous Wi-Fi connectivity for real-time transmission |
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User-friendly interactive screen navigation |
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Precision counting with vibration monitoring |
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AI real-time quality supervision |
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Unified management platform for streamlined data streaming |
Applications
Metal forging industry / Screw, nut, and rivet manufacturing industry / Metal wire product manufacturing industry / Metal spring manufacturing industry / Metal processing and treatment industry
System Components
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Precision counting through AI
Leveraging the operational characteristics of the machinery, analyzing the vibration peak values collected by accelerometers to accurately calculate production quantities and efficiency. The results are promptly displayed on the screen. -
Consumable wear detection
Utilizing multivariate analysis algorithms in conjunction with unsupervised learning tools to analyze subtle variations in vibration amplitude. This aids in detecting anomalies in molds, cutting tools, and the like, estimating the time for replacement due to wear and tear. This ensures a high yield of workpiece production, reducing material loss from discarded items. -
Real-time quality measurement
Integrating data from various sources of multiple measurement sensors, conducting AI analysis at the edge computing center, obtaining the quality maintenance rate. This allows for continuous supervision of production line efficiency, promptly identifying and addressing abnormalities.
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