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联合（Union）光学，极速对焦锁定关键瞬间
Release Time: 2026-02-01 Views: 0

Application Fields

With the continuous development of the video surveillance field, coupled with the development needs of machine vision, autonomous driving, military reconnaissance and other fields, it has become an urgent demand to quickly obtain video output in a certain scene. The lack of this capability has restricted the upgrading and development of related industries. Whether images can be formed quickly and non-delayed video output for scenes can be realized is also particularly important. Based on market demand, the company organized a research team to tackle key problems. After 4 years, the team completed the whole process from conception to project application. During the tackling process, problems such as magnetic flux leakage, coil heating, and stability in high and low temperature environments were quickly solved by quickly organizing optimization schemes and conducting iterative experiments.

Security Field：According to current surveillance lenses, it takes 4–5 seconds to switch from a large field of view to a small field of view, which has lost timeliness in some environments. The fast focusing lens can complete the switch between large and small fields of view in a short 0.2 seconds, ensuring the timeliness of shooting and avoiding target loss. It is applicable to areas with large passenger flow such as road monitoring, crossroads and subway entrances, as well as large shopping malls and community monitoring. Fast capturing can obtain more data, reducing the probability of criminals taking chances to commit illegal acts.

Automation Field：Machine vision is a comprehensive technology integrating optics, mechanics, electronics, computing and software. In the field of industrial automation production, it has become a fast and reliable quality inspection method. This project can be applied to industrial robots or human-eye-like lenses to quickly identify features and improve industrial efficiency.

Technology Development Prospects

Fast focusing technology was first applied in the security field. At present, it has also been put into mass production and application in fields such as industrial automation, robotics and intelligent assisted driving, and will maintain a significant growth trend in the future.
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