Client: Nanjing Transportation Comprehensive Administrative Law Enforcement Corps

Location: Nanjing, Jiangsu Province 

Work Period: 2023 –2024

Service to Scope: System Development

Transportation law enforcement faces challenges including high labor intensity, strong concealment of violations, and difficulties in evidence collection, with traditional labor-intensive methods being inefficient. Leveraging big data and AI technologies, the project establishes a smart enforcement system to transition toward technology-enabled practices. It integrates multi-domain enforcement operations to achieve precise, efficient, and standardized supervision while enhancing industry service quality. 

     Key challenges involve developing a supervisory system to break down data silos, accurately analyze covert violations, overcome cross-system barriers, and eliminate monitoring blind spots. The project must address data fragmentation and low utilization efficiency, achieve intelligent recognition of violations across scenarios, integrate business systems and streamline enforcement procedures, while ensuring effectiveness and security under 5G/IPv6 applications.

     Our team employs a smart enforcement core and AI models to resolve data governance issues, utilizes big data mining to identify covert violations, integrates systems to standardize processes, and leverages AI with 5G/IPv6 technologies to enhance proactive detection and enforcement efficiency, providing precise technical support for multiple regions.