Market Status and Key Features

Unmanned store kiosk security camera module

The number of unmanned stores is rapidly expanding due to the recent increase in labor costs and the spread of non-face-to-face consumption. As of 2024, the number of unmanned stores nationwide has exceeded about 30,000, and it is expected to grow to more than 100,000 by 2030. (Source: Retail Security Survey)

However, due to the nature of unmanned stores, losses (Shrink) due to theft and barcode misscanning are pointed out as a major risk of unmanned store operation and cause a loss of about 1.5% to 3% of sales on average. (Source: NRF)

Key features

• Real-time object recognition and tracking technology: Real-time detection of unscanned goods on kiosk barcodes and consistency tracking without loss of object ID
• Abnormal Behavior Analysis Technology: CNN-LSTM-based sequence analysis improves hand-product interaction pattern learning-based miss scan detection accuracy
• Barcode Consistency Verification Technology: AI can pre-learn product group information to verify code match → Can detect deliberate barcode substitution
• Development of cloud-based administrator apps: Real-time delivery of events from AI modules to apps via cloud servers → Improve store owner and headquarters management efficiency
• Edge-Cloud Hybrid Structure: Edge device operation + event image cloud storage → Minimize network burden and increase real-time processing speed