CCTV

Dahua Super AI Coding

The rapid growth in global AI demand, especially for training and running large-scale AI models, has significantly increased the need for high-performance and high-capacity storage. This includes technologies such as High Bandwidth Memory, high-speed Solid State Drives, and large-capacity Hard Disk Drives. As major technology companies continue to expand their AI infrastructure, demand for storage has risen considerably, resulting in significant price increases and also issues with sourcing stock availability. Industry forecasts suggest that storage prices are likely to remain elevated and continue rising throughout 2026.

As AI continues to drive demand for higher-resolution CCTV and longer recording times, storage requirements are becoming a growing concern for businesses and security professionals. More cameras, higher resolutions and increasing amounts of recorded data can quickly lead to higher storage and infrastructure costs.

Dahua’s Super AI Coding Technology offers a way to tackle this challenge by intelligently reducing the amount of data generated by CCTV cameras, while still maintaining important image detail. By prioritising areas of the image that matter most, such as people and vehicles, Super AI Coding can help reduce storage requirements and network bandwidth without compromising the quality of critical footage.

Key benefits of Dahua Super AI Coding

• 30–50% less storage required – Super AI Coding reduces the amount of data that needs to be recorded, potentially allowing you to use smaller HDDs or keep recordings for longer on the same storage capacity.
• Up to 50% reduction in network bandwidth – Less video data needs to be transmitted from the cameras to the NVR, reducing network traffic and making better use of existing network infrastructure.
• Maintains important image detail – Rather than simply reducing the bitrate across the entire image, the system intelligently allocates bitrate to important objects, particularly people and vehicles. This helps retain clearer details where they matter most.
• Better image quality than simply lowering the bitrate – Conventional bitrate reduction can introduce problems such as blocking, blurring, motion trails and other compression artefacts. Super AI Coding is designed to reduce the overall bitrate while avoiding excessive loss of detail on important subjects.
• Potentially lower system costs – Because less storage and bandwidth are required, the technology can reduce the cost of HDDs, network infrastructure and potentially the overall CCTV system. Dahua gives an example where a system requiring 14TB with H.265 could use 7TB with Super AI Coding for the same stated recording scenario.
• Particularly useful with today’s higher HDD prices – The idea is especially relevant for larger CCTV systems where storage is a significant part of the system cost. Instead of buying additional HDD capacity to maintain retention periods, Super AI Coding can reduce the amount of storage needed.

In simple terms

Super AI Coding is essentially about getting more CCTV recording out of the same amount of storage and network capacity, without sacrificing as much image quality where it matters.

Instead of treating every part of the image equally, it gives more of the available bitrate to important objects such as people and vehicles, while compressing less important parts of the scene more heavily.