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AI visual detection system

2021-05-07 11:19:15
Times
AI visual detection system
Content:

            Hongchenlong machine vision focusing on industrial vision sensing applications, focusing on the underlying algorithm software and hardware technology, to provide customers with leading machine vision hardware products and algorithm platform, covering the full series of industrial cameras, intelligent cameras, intelligent decoder, stereo cameras, vision controllers, algorithm platform, lenses and related accessories. It can be widely used in 3C, electronic semiconductor, logistics and other industrial automation fields to achieve positioning guidance, measurement, defect detection, code reading, OCR identification and other applications. Stable and reliable operation, support customized development. Help users greatly improve work efficiency and accuracy.

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Features:

High precision


As a precise measuring instrument, the vision system is designed to make spatial measurements of one thousand or more components. Because this measurement does not require contact, there is no wear or danger to fragile parts.


S continuity


The visual system protects people from fatigue. Because there are no human operators, there are no human changes to the operation. Multiple systems can be configured to run separately.


■ Cost efficient


As the price of computer processors has dropped dramatically, machine vision systems have become more and more cost efficient. In America and Europe, a $10, 000 vision system can easily replace three human probes, each of which requires a salary of $20, 000 a year. In China, the more dramatic application is a machine vision device, which can replace hundreds of thousands of people to test and measure. In addition, the operating and maintenance costs of the visual system are very low.


S flexibility


The visual system is capable of taking a variety of measurements. When the application changes, the software only needs to be changed or upgraded to meet the new requirements.


Machine vision systems are much more adaptable than optical or machine sensors. They make automatic machines diverse, flexible and reconfigurable. When it comes to changing the production process, the "tool change" for machine vision is simply a software change rather than an expensive hardware change. When the production line is reorganized, the visual system can often be reused.


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