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SmartEyes: Plug-and-Play Event Detection for Retail Loss Prevention

  • Aiut
  • Silesian University of Technology
  • BakuAI
  • NVIDIA

Wyniki badań: Wkład do czasopismaArtykuł z konferencjirecenzja

Abstrakt

Event detection is essential for surveillance, particularly in retail loss prevention, where accurate and timely monitoring is critical. Vision Language Models (VLMs) provide strong generalization but are inefficient at processing full video streams and are prone to hallucinations induced by redundant frames. We present SmartEyes, a plug-and-play system for real-time retail surveillance. SmartEyes introduces the Perception Cognition Focusing (PCF) framework, which combines lightweight perception with semantic triggering to isolate two keyframes (customer contact and departure) and constrains the VLMs to a focused differencing task. This design reduces hallucination by 44% compared to vanilla VLMs. From the demonstrated retail application, the proposed perception-to-reasoning pipeline is general and directly extends to industrial environments that require reliable event detection and real-time decision-making. Our demo includes a user-friendly Region of Interest (ROI) selection interface and live CCTV monitoring, producing accurate alerts within 1–2 seconds on a single RTX 4080 GPU. This lightweight framework design enables efficient deployment to broader industrial applications.

Język oryginałuangielski
Strony (od–do)41559-41561
Liczba stron3
CzasopismoProceedings of the AAAI Conference on Artificial Intelligence
Tom40
Numer wydania48
Identyfikatory DOI
Status publikacjiOpublikowano - 2026
Wydarzenie40th AAAI Conference on Artificial Intelligence, AAAI 2026 - Singapore, Singapur
Czas trwania: 20 sty 202627 sty 2026

Obszary tematyczne ASJC Scopus

  • Sztuczna inteligencja

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