1. Industry pain points After the plastic bottle is sealed by the electromagnetic induction aluminum foil sealing machine, there is no effective and economical means to detect the quality status of the aluminum foil seal. Current solutions
At present, most manufacturers use manual capping inspection, which is time-consuming and labor-intensive, and can only conduct random inspections when the batch size is large.
Some manufacturers use inverted storage, which is not only time-consuming and labor-intensive, but also occupies a lot of production and storage space. Some manufacturers specially install a capping machine and then conduct manual inspection, which can achieve full inspection, but the cost is very high and the production efficiency is very low. 2. Product Overview The aluminum foil sealing detection system consists of a military-grade thermal imaging system, an AI intelligent big data algorithm, and an industrial intelligent control system. The thermal imaging system collects thermal images of the aluminum foil seal, and the AI algorithm analyzes the temperature distribution model to judge whether the product is qualified (OK) or unqualified (NG) in real time. Qualified products are released, and unqualified products are eliminated online by the industrial intelligent control system to ensure the efficient operation of the intelligent production line. 3. Technical advantages Military-grade thermal imaging camera Higher resolution (384*288 pixels) ensures higher detection accuracy. Imaging distance is about 20 times the focal length to infinity.
The focusing method is manual focusing.
AI intelligent big data algorithm
Adaptive learning: The algorithm has self-learning ability and can continuously optimize the model based on a large number of on-site samples, adapt to different product specifications and production environments, and improve the flexibility and reliability of detection.
Real-time processing: The AI algorithm can quickly process thermal imaging data and judge whether the product is qualified in real time to ensure efficient operation of the production line and reduce downtime. Data-driven decision-making: Through big data analysis, the algorithm can generate production data reports to help companies optimize production processes and improve overall efficiency and quality control. Fast specification switching: The algorithm supports fast switching of different product specifications, completes configuration adjustments within 30 seconds, reduces downtime and debugging time, and improves production efficiency. Multi-defect identification: The algorithm can simultaneously detect multiple sealing defects, such as no cover, no aluminum foil cover, crooked cover, aluminum foil warping, bottle mouth clamping, abnormal sealing power, loose cover, etc., with comprehensive coverage and low missed detection rate.
Core advantages
Reliable operation: Detection pass rate ≥ 99.999%, comprehensive detection false kick rate ≤ 0.3%. Quick specification switching: 30 seconds, all production data can be saved and configured. When switching to the original specification, only one button is required to confirm, reducing the startup and debugging time.
Applications
Widely used in aluminum foil seal detection of plastic bottled products in agrochemicals, food, chemicals, etc.
Technical
1. Maximum detection speed: 220 bottles/minute (specific detection speed varies depending on different product sizes) 2. Qualified rate: ≥99.999% 3. Applicable specifications: lid diameter: 20mm-80mm, bottle height 50mm-350mm 4. Matching line speed: ≤20m/min 5. Detection categories: no cover, no aluminum foil cover, crooked cover, high cover, reverse aluminum foil, double aluminum foil, broken aluminum foil on the bottle edge, aluminum foil warping, virtual seal with too low sealing power, virtual seal with too high sealing power, bottle mouth clamping, 1/4 loose cover, 1/8 loose cover, etc. 6. Gas consumption: 30L/min 7. Power supply: AC 220V±10%, 50/60Hz 8. Power: ≤1.5KW 9. Working temperature: -10 degrees Celsius to 60 degrees Celsius 10. Equipment size: 490mm*750mm*1800mm 11. Image accuracy: ±0.05mm 12. Camera chip: The camera uses imported detectors 13. Camera speed: 60Hz full temperature flow 14. NETD: 50MK@25℃
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