SAI Hardware Requirement
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SAI Hardware Requirement
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Retail organizations increasingly seek Visual AI solutions that integrate seamlessly with their existing infrastructure, avoiding the need for costly hardware upgrades or specialized equipment. SAI platform is engineered to deliver robust Visual AI capabilities in a hardware-agnostic, camera-agnostic manner, ensuring efficient operation on minimal infrastructure.
Compatibility with Existing Camera Systems
The platform supports both analogue and digital camera environments, functioning reliably on basic, standardized camera settings. This eliminates the necessity to redesign CCTV systems for Visual AI deployment.
Supported specifications include:
- • Frame rate:25 FPS
- • Bit rate:512 kb/sec
- • Resolution (checkouts): 640 × 480
- • Resolution (aisles): 1280 × 720
This “use what you’ve got” philosophy enables rapid scaling across stores and formats, without camera lock-in.
CPU-first processing : Minimize hardware requirements
Unlike many Vision AI platforms that rely heavily on GPU processing, SAI visual AI platform is optimized for CPU-only operation. No GPU is required for typical deployments, such as checkout monitoring and common store use cases. GPUs are only necessary for complex scenarios involving longer video sequences or larger areas. The platform’s patented algorithms are designed to run efficiently in minimal processing environments.
OS and server agnostic architecture
The platform is designed to fit within existing IT standards, supporting:
- •Operating Systems: Windows or Linux
- •Servers: Intel or AMD
Deployment options include dedicated bare-metal servers, virtual machines, and Kubernetes containers.
Reference hardware profiles for retail configurations
Sizing guidelines for typical retail deployments are as follows:
Checkout monitoring
| Coverage | RAM | Storage |
|---|---|---|
| 10 checkouts / 10 cameras | 32GB | 1TB |
| 20 checkouts / 20 cameras | 128GB | 2TB |
Shop floor monitoring (example: 16 cameras)
- •RAM: 64GB
- •GPU: NVIDIA RTX 4070 (16GB)
- •Storage: 5TB
Lower infrastructure cost: Reduced TCO and delivery Risk
For a standard superstore with 10 self-service checkouts and 5 assisted checkout lanes, the estimated hardware and installation costs are:
- •Cameras + network cabling + installation: ~£4,000
- •Server + installation: ~£1,000
- •Total: ~£5,000
Because SAI visual AI platform operates efficiently on modest specifications, the hardware footprint and upfront costs remain low, reducing both total cost of ownership (TCO) and rollout risk.