What are the characteristics of online defect detectors
As the core equipment for real-time quality control in industrial production, online defect detectors are characterized by "real-time performance, high precision, and automation", and can be divided into the following categories:
As the core equipment for real-time quality control in industrial production, online defect detectors are characterized by "real-time performance, high precision, and automation", and can be divided into the following categories:
1. High detection efficiency: suitable for high-speed production lines
Real time synchronous detection: It can fully synchronize with the production line speed (such as continuous production scenarios of coils, sheets, bottles, etc.) without stopping or slowing down. The detection speed can reach tens to hundreds of meters per minute (such as film and metal foil production lines), avoiding the efficiency lag of traditional manual sampling.
Full inspection instead of random inspection: Different from manual "sampling inspection", it can conduct 100% testing on every product/material in production, covering the problems of "missed inspection" and "wrong inspection" that are easily overlooked by manual labor.
2. High detection accuracy: capturing small defects
High resolution imaging: Equipped with high-definition industrial cameras (millions to tens of millions of pixels), line array cameras, or 3D vision systems, it can identify tiny defects at the micrometer (μ m) or even nanometer level, such as scratches, pinholes, bubbles, color differences on material surfaces, as well as product size deviations, deformations, etc. (such as detecting tiny pinholes in lithium battery electrodes with an accuracy of less than 0.1mm).
Multi dimensional defect recognition: supports the judgment of defects from multiple dimensions such as appearance, size, texture, and color. Some devices can also distinguish between "true defects" and "false defects" (such as slight dust on the material surface and misjudgment caused by light reflection) through algorithms, reducing false alarm rates.
3. High degree of automation: reduces manual intervention
Automatic recognition and classification: By using AI algorithms such as deep learning and machine vision, defect types are automatically identified and classified according to "defect size, grade, and location" (such as dividing fabric defects into broken warp, skipped weft, stains, etc.), without the need for manual judgment.
Automatic feedback and linkage: When non-conforming products are detected, real-time linkage actions can be triggered, such as automatic alarm (sound and light prompts), marking defect locations (such as coding and labeling), controlling production line shutdown, or docking with subsequent sorting equipment to automatically remove non-conforming products, forming a closed loop of "detection feedback processing".
4. Data management: assisting in quality traceability
Real time data recording: Automatically store inspection data for each product (defect type, quantity, location, inspection time), generate visual reports (such as histograms, trend charts), and facilitate management personnel to monitor production quality fluctuations in real time.
Historical data traceability: supports long-term storage of detection data, which can trace the quality situation of specific batches and time periods, facilitating the investigation of the root cause of quality problems (such as whether the increase in defects in a batch of products is caused by abnormal raw materials or equipment parameters), while meeting industry quality compliance requirements (such as quality traceability standards for food packaging and pharmaceutical packaging).
5. Strong adaptability: compatible with multi scenario production
Multi industry adaptation: customized testing solutions can be developed according to the needs of different industries, widely used in fields such as film, paper, metal coil, textile, electronic components (such as chips, PCB boards), automotive parts, food packaging, pharmaceutical bottles and cans, etc.
Good environmental adaptability: Some equipment has industrial grade design that is dust-proof, waterproof, vibration resistant, and resistant to high/low temperatures. It can adapt to the harsh environment of production lines (such as high-temperature coil testing in steel plants and humid environment testing in food workshops) and operate stably.
WeChat number：
Home
Product
Wechat
Telephone