Public Security‑Smart Police System

Grid‑based Supervision of Drug‑Addicted Personnel

  • Data Integration: Integrate public‑security data, social‑scope data and terminal‑acquired data to realize comprehensive business application and data sharing among all subsystems.
  • Business‑Oriented Design: With years‑long devotion to the public‑security industry, this platform features simple operation. It adapts to anti‑drug business scenarios and staff operating habits of public‑security departments. It has yielded practical achievements in field operations and passed real‑world public‑security inspections.
  • Practical Deployment: It adopts diverse and flexible analytical models together with an abundant library of active early‑warning features, and deeply accommodates on‑site anti‑drug work scenarios for public‑security services.
  • Research and Analysis: Powered by the dual engines of big‑data technology and artificial intelligence, it conducts in‑depth mining and precise analysis on massive‑volume data.

Pain Points

  • Difficulty in the basic‑data management of drug‑related groups

    Drug‑related personnel are large‑in‑number and highly mobile. Their basic information remains unclear. Grass‑roots management resources poorly match business demands, making grid‑based assessment hard to implement.

  • Poor cross‑region and cross‑department collaboration

    There exists management connection gaps for non‑local drug‑related personnel. Departments adopt inconsistent data standards and suffer delayed information exchange. Traditional manual ledgers are inefficient and prone to data loss and damage.

  • Insufficient intelligence for dynamic supervision

    The system lacks visualized trajectory tracking and automatic early‑warning capabilities. Scattered‑and‑inactive data prevent real‑time, full‑domain insight into the supervision status and outcomes of drug‑related personnel.

Architecture

Cases

Training and operation‑launch services have been carried out in numerous prefecture‑level cities including Liu'an, Xiantao, Tongchuan, Mianyang, Hezhou, Tianmen, Shanglin, Ankang, Bayannur, Deyang, Chengdu, Ningde and Guang'an.

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