黑色透明图 背景

Industrial Visual Intelligence Integrated Equipment

In response to the detection difficulties in industries such as cables, coiled material, and liquor, the selection of light sources, cameras, and lenses, and other hardware equipment should be made according to scene needs to significantly reduce the impact of environmental lighting on the detection results. The industrial AI vision technology is integrated with specific deep learning algorithms for rapid product detection. A large number of image samples are provided to the universal algorithm platform for learning to achieve the accurate recognition of different types of products.

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Introduction to Products

Visual Integration Equipment Products in the Cable Industry
We create standardized products of intelligent wiring devices for the field of heavy-duty wires and cables in an innovative manner. A laser 3D line phasing unit mechanism is used to overlay and scan the cable section on the bobbin to form the upper contour line of the cable.
Real-time analysis and judgment of contour line gaps are conducted through deep reinforcement learning and other intelligent algorithm models. If the gap is too large, an adjustment command will be sent to the fine-tuning mechanism for timely adjustment; for the line steering, the control fine-tuning mechanism and bobbin PLC access linkage will be judged to realize automatic intelligent steering, followed by the upper layer of the line.
“Huohuan” Intelligent Detection Machine for Surface Defects of Coiled Material
It is an intelligent detection equipment featuring high integration of software and hardware, with Lilou machine vision intelligence innovation platform as an algorithm technology innovation base, and Baize smart brain edge intelligent product as the universal edge side AI core for efficient algorithm inference and secure real-time control, jointly creating the product benchmark of cloud edge and hardware-software integration standardization industry.
Visual Integration Equipment Products in the Liquor Industry
Based on technologies such as machine vision, intelligent algorithms and edge computing, the machine vision technology is adopted as an alternative to traditional methods to provide a wine bottle detection solution that realizes the full automation of wine bottle detection.

Product Features
Visual Integration Equipment Products in the Cable Industry  “Huohuan” Intelligent Detection Machine for Surface Defects of Coiled Material Visual Integration Equipment Products in the Liquor Industry
1. Integrate “cloud+edge+intelligent anomaly detection" technology to detect winding defects in real-time and intelligently adjust the winding mechanism.
2. Replace traditional methods with machines to reduce costs.
3. Improve efficiency by making the system wiring more orderly to avoid entanglement of wires during wiring, which may cause significant losses.
4. Detect synchronously cable defects during the automatic cabling process to improve the yield rate and the detection efficiency.
Flexibly train defect models based “Lilou+Edge Intelligence+Fusion Model” technology to  conduct real-time inference and analysis of coiled material defects, and solve the detection pain points of flexible manufacturing of various products. The visual detection equipment can work continuously 24 hours a day, greatly improving the production efficiency of the coil industry. It can also quickly and accurately identify and process products, reducing manual operation time and errors. Visual detection equipment can accurately detect the size, color, shape and other parameters of the coiled material to ensure the stable product quality and enhance the market competitiveness of enterprises. 1. Integrate “cloud+edge+intelligent anomaly detection+lightweight model” technology, and combine several lightweight models with different defects to ensure the detection of complex liquor bottle defects under high-speed production rhythm
2. Efficient and accurate bottle detection capability
3. Highly intelligent data processing and analysis
4. Reliable and stable edge computing and data storage

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