联系人：苑先生
电话：15262418082
邮箱：18832644684@163.com
网址：www.nasdmach.com
地址：江苏苏州市吴中区上新东路15号
Technical parameter
Equipment type | NASD-SJJCSB01 |
Machine size | Principal part contract：L1250*W1000*H2000mm Vibrating disk part approx：L1200*W800*H1400mm |
Machine weight | About 500Kg |
Power supply | 220V 50Hz |
Equipment power | 1.5Kw |
Air supply | 0.4-0.8MPA |
Optional configuration | Up view + side view + Down view + top view (the detection camera station can be increased or decreased according to the detection item) |
Detection range | Full 360° inspection |
Test material | Fasteners such as screws and nuts, hardware, mobile phone parts, plastic and rubber products, electronic components, etc |
Test item | Size, inner hole blockage, aperture size, curvature, poor coating, crushing scratches, burrs, notches, edge breakage, scratches, burrs, crushing, mixing, paint off, height, dent, symmetry, profile, color, etc |
Applicable specification | Outer diameter φ1.0mm-φ20.0mm; Height 2.0mm-25.0mm |
Detection speed | Up to 1200pcs/min (depending on specific product and technical requirements) |
Detection accuracy | Up to ±0.001mm (according to specific product and technical requirements) |
Software system | Nastan Optical imaging System |
Operating ambient temperature | 0℃-45℃ |
Valve valve AI visual inspection equipment is an advanced equipment applying artificial intelligence technology, mainly used to detect the quality and performance of automotive engine valve. The automobile engine is the heart of the vehicle, and the valve nozzle is a very important part of the engine, its quality directly affects the performance and stability of the engine. Therefore, it is very necessary to test the quality of the valve nozzle, but the traditional testing methods are often inefficient and inaccurate. Therefore, the appearance of valve AI visual inspection equipment will greatly improve the quality inspection efficiency and accuracy of the valve.
The valve AI visual inspection equipment mainly uses image recognition and deep learning algorithms in artificial intelligence technology, shoots the valve through a high-definition camera, and transmits the image to the computer for processing and analysis. Using deep learning algorithms, the device can learn and identify various shapes, surface defects and quality problems of the valve nozzle, enabling automatic detection and analysis of the valve nozzle. Compared with traditional detection methods, valve AI visual inspection equipment has the following advantages:
First, the detection efficiency is high. The valve AI visual inspection equipment can realize the rapid shooting and analysis of the valve, greatly shortening the detection time and improving the production efficiency.
Secondly, the detection accuracy is high. Through the learning and training of the deep learning algorithm, the equipment can accurately identify various defects and quality problems of the valve nozzle, avoiding the influence of human subjective factors on the detection results.
Again, the operation is simple and convenient. The operation interface of the valve valve AI visual inspection equipment is simple and intuitive, and does not require complex operation processes, even operators without relevant experience can easily get started.
Finally, the equipment is stable and reliable. The valve valve AI visual inspection equipment adopts high-quality cameras and computer systems, which has good stability and reliability, and can run stably for a long time to ensure the accuracy and reliability of the detection results.
In summary, the valve valve AI visual inspection equipment is an efficient, accurate, simple, stable and reliable inspection equipment, which is of great significance for the quality inspection of the valve valve of the automobile engine. With the continuous development and application of artificial intelligence technology, it is believed that valve valve AI visual inspection equipment will play an increasingly important role in the automotive manufacturing industry, providing strong support for the quality control and production efficiency of automotive engines.
