Background

Surging global AI demand—particularly for large-scale model training and inference—has driven strong demand for high-performance storage (e.g., HBM and fast SSDs) as well as high-capacity HDDs. Fueled by the expansion of AI infrastructure among tech companies, storage prices have risen sharply, with industry forecasts indicating this trend will continue through 2026.

* Data Source: CFM (China Flash Market) Official Website

Pain Points

High Storage Cost
Low Quality image
High Storage Cost

With rising hard drive prices, the cost of storing the same amount of video has risen sharply, which directly increases expenses for users.

Coding Video Capacity Storage Costs
H.265 8MP*16 Channels (14-day Cycle)14TB500 USD
8MP*16 Channels (14-day Cycle)14TB1000 USDAfter Price Increase
Super AI Coding 8MP*16 Channels (7-day Cycle)7TB500 USDAfter Price Increase

Value

Super AI Coding implements intelligent bit rate allocation through 3 technologies, which reduces the overall bit rate while ensuring high-quality images of key objects.

Notes: The following data is based on typical scenarios: For half of the operating time, the scene maintains moderate pedestrian and vehicle flow, with only minimal motion activities captured in the monitoring frame.

Save Bit Rate
Save bandwidth
50% transmission bandwidth reduction
• Faster transmission speed
• Lower network load
Save Storage
30%-50% storage reduction
High Quality Image
Sharper human & vehicle details vs. H.265

Technical Principles

Configuration

Camera Settings
Step 1: Encode---Encoding Strategy select "AI Coding".
Step 2: Some encoding parameters will be hidden.
Step 3: Super AI Coding enabled.
NVR Settings
Step 1: Encode---Encoding Strategy select "AI Coding".
Step 2: Some encoding parameters will be hidden.
Step 3: Super AI Coding enabled.

Application Scenarios

Shopping Mall
Museum