Empowering Smart Retail with Edge AI: RK3588-Based Embedded Solution
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Empowering Smart Retail with Edge AI: RK3588-Based Embedded Solution

Powered by RK3588 processor, Beilai's embedded computing solution enables edge-side AI applications that operate independently of the cloud, bringing intelligence directly to the store floor.
Empowering Smart Retail with Edge AI: RK3588-Based Embedded Solution
Case Details

Why RK3588 for Smart Retail?

The RK3588 is a flagship processor featuring a 4x Cortex-A76 + 4x Cortex-A55, high-performance GPU, and a built-in 6 TOPS NPU capable of real-time AI inference. It supports 8K video decoding and has exceptional multimedia performance—ideal for computer vision tasks. Moreover, BLIIoT RK3588-based embedded computer is equipped with a wide range of I/O interfaces (USB, HDMI, GPIO, RS485, CAN, Ethernet, DI, DO, AI, AO, etc.), giving system integrators and developers the flexibility to customize hardware connections according to different retail scenarios.

Application Scenarios in Smart Retail

1. People Counting & Traffic Flow Analysis

Mounted cameras connected to the RK3588 system analyze foot traffic in real time. The edge AI detects and tracks individuals entering or moving within the store, generating accurate visitor flow data segmented by time and location.

Use Cases:

  • Analyze peak shopping hours
  • Optimize staff allocation
  • Calculate conversion rates by comparing visits vs. sales

2. Heatmap & Hot Zone Detection

By tracking customer movement patterns and dwell times, the system generates intuitive heatmaps that highlight popular zones and underperforming areas.

Use Cases:

  • Improve product layout and shelf arrangement
  • Evaluate promotional display effectiveness
  • Guide store redesign strategies

3. Product Recognition

With object recognition models running on-device, the system can identify various SKUs placed on shelves or at checkout counters. This supports applications such as automated inventory management or customer-product interaction tracking.

Use Cases:

  • Detect out-of-stock items
  • Enable unmanned smart shelves
  • Track popular products in real time

4. Payment Behavior Analysis

The RK3588 system can analyze customer gestures and activities during checkout. It distinguishes between payment methods (QR code, card tap, cash) and flags unusual or risky behavior.

Use Cases:

  • Enhance checkout efficiency
  • Support cashierless/self-service payment
  • Prevent fraud with gesture-based anomaly detection

The RK3588-based embedded computer from Beilai offers a powerful, flexible, and cost-effective platform for smart retail transformation. From customer behavior analytics to checkout automation, our solution brings real-time AI intelligence to the edge, helping retailers stay competitive in the digital age.

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