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AI camera module high-speed transmission solution: advantages analysis of extremely thin coaxial cable束

Categorization:Harness Component       

Specializing in the sales of: Connectors | Wire Harness | Cable Products
In the design of AI camera module, the stability of high-speed image data transmission from the sensor to the main control chip is a major challenge. Traditional flexible cables are common, but they often suffer from signal attenuation and instability in high bandwidth, long distance, and strong interference environments. The ultra-fine coaxial cable scheme, with its unique structure and performance, has become an important choice for engineers to solve high-speed interconnection problems, providing a reliable high-speed data transmission channel for AI vision systems.

Why is it necessary to use extremely fine coaxial cable bundles?

AI camera modules commonly use MIPI CSI-2 interfaces, with data rates reaching several Gbps, requiring extremely high signal integrity and anti-interference capabilities. In environments where there is a certain distance between the module and the mainboard or strong electromagnetic interference, traditional flat cables tend to experience signal attenuation, crosstalk, and eye diagram closure issues. In addition, the compact space, weight sensitivity, and frequent bending of the application scenarios make it difficult for traditional cables to balance high speed, stability, and flexibility. Therefore, in high-performance AI modules, extremely thin coaxial cables have become an inevitable choice.

The core advantages of ultra-fine coaxial beam束

Extremely thin coaxial cables consist of a central conductor, an insulating medium, and an outer shielding layer, which can effectively isolate electromagnetic interference and maintain signal purity. The coaxial structure is naturally suitable for precise impedance control, meeting the matching requirements of high-speed MIPI signals. In short to medium distance transmission, signal attenuation is low and error rate is low. At the same time, the diameter can be made to sub-millimeter level, lightweight, suitable for module miniaturization design, and still maintain stable performance in dynamic usage scenarios with frequent bending. It is precisely because of these advantages that extremely thin coaxial cables are increasingly widely used in AI camera module.

Three, design essentials and application ideas

To fully utilize the advantages of ultra-fine coaxial cables, it is necessary to ensure the impedance continuity between the cables and the PCB to avoid signal reflection and distortion, and at the same time, choose specialized miniature connectors to balance electrical performance and mechanical strength. In high-speed attenuation scenarios, signal optimization can be achieved through equalizers or driver compensation, while it is also essential to ensure continuous grounding of the shielding layer to prevent common-mode interference. After the design is completed, reliability needs to be verified through environmental tests such as bending, vibration, and temperature to ensure that the cables remain stable during long-term operation. Through these design measures, ultra-fine coaxial cables can become a reliable high-speed channel between AI camera modules and the mainboard.

Compared with traditional FPC, extremely fine coaxial cable bundles have significant advantages in terms of anti-interference, impedance matching, signal loss control, and miniaturized design. With the promotion of new standards such as MIPI A-PHY, as well as the expansion of applications in automotive and industrial vision systems, the application prospects of micro coaxial cables in AI camera modules and high-speed vision systems are very promising.

I am[Suzhou Huichengyuan Electronic Technology]Long-term focus on the design and customization of high-speed signal cable harnesses and ultra-fine coaxial cable harnesses, committed to providing stable and reliable high-speed interconnection solutions. If you have related needs or want to learn more, please feel free to contactManager Zhang: 18913228573 (same number on WeChat)