Background

With economic growth, demand for transportation has surged significantly. However, road infrastructure development has progressed slowly, leading to an increasingly prominent imbalance between supply and demand in transportation. Major roads in urban centers suffer from severe traffic congestion during peak hours, which is becoming a常态化 issue and a key factor restricting sustainable urban development.

Pain Points

The quality of the transportation environment will either promote or hinder regional economic development. As road networks continue to expand, traffic violations occur frequently, making fine-grained governance and management extremely challenging. Road enforcement remains heavily reliant on manual inspection and supervision, significantly increasing operational costs while maintaining low efficiency.

Solution Overview

ZhiSuan leverages cutting-edge AI technology to deliver an efficient intelligent transportation solution. It enables multi-dimensional statistical analysis of various structured data—including full-target data, traffic flow data, event data, and violation data—supporting precise judgment and targeted interventions. This facilitates effective source supervision and on-road control, helping transportation authorities optimize traffic order and achieve intelligent city management.

Solution Benefits

Reduced Patrol Costs

Provides recognition capabilities for over 10 types of non-motorized vehicle traffic violations, with an accuracy rate exceeding 95%, significantly reducing the cost of manual patrols.

Accident Reduction and Safety Assurance

Combines warnings with incentive-punishment mechanisms to address prominent traffic violations, minimizing traffic accidents caused by vulnerable road users.

Improved Traffic Order

Analyzes and monitors pedestrians, vehicles, and non-motorized vehicles in surveillance videos, providing real-time alerts for driving behaviors that threaten traffic safety.