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2results about How to "Unified testing standards" patented technology

A vision-based intelligent discharge device, system and method for industrial robots

The application discloses a kind of vision-based industrial robot intelligent discharging device, system and method, first discharging line is arranged in the discharge end of the transmission unit, including conveying unit, separating mechanism, visual detection mechanism and pushing mechanism;Conveying unit is arranged in the discharge end of the transmission unit, for conveying material;Separating mechanism is arranged in the first half of the conveying unit, for separating multiple materials;Visual detection mechanism is arranged in the middle section of the conveying unit;Pushing mechanism is arranged in the tail end of the conveying unit, for pushing out the material that detection is not up to standard.The present application avoids missing detection and wrong detection, makes the detection result more accurate, improves product quality consistency, greatly improves detection and discharging efficiency, avoids channel blockage and jam caused by mixed conveying of different height materials, ensures smooth conveying, avoids fatigue error caused by long-time operation, has the beneficial effects of low manufacturing cost, simple operation and not easy to damage, etc.
Owner:YANGTZE NORMAL UNIVERSITY

Visual detection and sorting method for pinhole of aluminum electrolytic capacitor

The application discloses a kind of aluminum electrolytic capacitor nail flower visual detection and sorting method, to solve the problems of low efficiency, vulnerable to metal reflection interference and unable to effectively identify the inherent defects of nail flower in existing detection technology.The method comprises the following steps: system calibration and parameter presetting step;Through composite light source synchronous illumination and image acquisition step;Image preprocessing and nail flower region positioning step;Double-flow parallel analysis and feature extraction step, one flow is measured by sub-pixel technology Geometric dimension, the other flow is identified by convolutional neural network model Deep defect;Weighted decision fusion and comprehensive determination step, this step is based on the type and confidence of defect identification Dynamic selection of size tolerance threshold for fusion determination;And sorting execution and data management step.The application overcomes reflection by composite lighting scheme, combined with accurate size measurement and intelligent defect identification, significantly improves production quality and product reliability.
Owner:SHENZHEN RUOBEI INTELLIGENT TECHNOLOGY CO LTD