The retail industry's security system needs to balance anti-theft efficiency and customer experience, and combine RFID AI, and smart hardware to build a full-link protection plan. The core equipment configuration is as follows:


1. Product anti-theft system(AM, RF, EM, RFID)

EAS(Electronic Article Surveillance) System‌ (AM, RF, EM)

Pulsed/Acousto-Magnetic gate coverage of exit channels, detection rate >95%, strong anti-metal, trigger response time <2 seconds


RFID Smart Anti-Theft Solution‌

UHF ultra-high tags support batch reading of 50 items (including items in the bag) within 0.1 seconds, dynamic de-duplication accuracy ≥99.9


2. Smart Management System

‌Full-link Inventory Control

RFID and EAS dual-mode tags reduce hardware costs and simultaneously achieve anti-theft and inventory counting


Hazardous Chemicals Supervision‌

Laboratory- dual-person biometric authentication storage cabinet, integrated with leakage sensors and video traceability



3. Customer-side Security Configuration

‌Equipment‌ ‌Functional Scenario‌

AI behavior analysis camera: Automatically identify theft behavior, try-on room overtime stay (>5 minutes trigger warning)

Non-contact liquid detector: 1 second judgment of 50ml flammable solvent, false alarm rate <0.07 ppm


Face recognition terminal outside face scan to block the risk of impersonating membership cards, false recognition rate <one in a million



4. Industry Innovation Application

‌Self-check‌: RFID contactless payment shortens the settlement time to 6 seconds/person (Japan's supermarket actual measurement labor cost reduction of 40%)


‌Membership Marketing‌: Try-on room RFID identifies clothes and automatically pushes matching suggestions (a certain fast fashion brand's loss rate dropped from 27% to 0.3%)


Smart Security Check‌: ABNMTECH  AI  Terahertz technology achieves automatic recognition of prohibited on public transport.



Technology Trends‌:


The global market size of EAS will 10.7 billion yuan in 2025, and the integration of RFID and AI has become the mainstream direction


Privacy computing technology through public security data and builds a key personnel joint defense mechanism